/// <summary>
/// 初始化後才能叫用 Action
/// </summary>
public MeasureResult Action()
{
#region 輸出結果， CircleResult or Distance Result
CircleResult mResult = null;
#endregion
// Local iconic variables
HObject ho_R1_Circle = null;
HObject ho_R1_ROI_Image = null, ho_R1_Region = null, ho_R1_ImageReduced = null;
HObject ho_R1_Edges = null, ho_R1_ContoursSplit = null, ho_R1_SingleSegment = null;
//HObject ho_R1_ContEllipse = null;
// Local control variables
HTuple hv_msgOffsetY, hv_msgOffsetX;
//HTuple hv_AllModelId;
HTuple hv_STD_Row;
HTuple hv_STD_Col, hv_Img_Row, hv_Img_Col, hv_Img_Rotate_Angle;
HTuple hv_OffsetRow, hv_OffsetCol, hv_STD_R1_Row, hv_STD_R1_Col;
HTuple hv_STD_R1_V_Row, hv_STD_R1_V_Col, hv_R1_X, hv_R1_Y;
HTuple hv_R1_Pos_Row, hv_R1_Pos_Col, hv_R1_R;
HTuple hv_alpha = new HTuple(), hv_R1_low = new HTuple(), hv_R1_high = new HTuple();
HTuple hv_R1_NumSegments = new HTuple(), hv_NumCircles = new HTuple();
HTuple hv_Num_Circle_Point = new HTuple(), hv_R1 = new HTuple();
HTuple hv_R1_limit = new HTuple(), hv_i = new HTuple(), hv_Attrib = new HTuple();
HTuple hv_R1_Row = new HTuple(), hv_R1_Column = new HTuple();
HTuple hv_R1_Radius = new HTuple(), hv_R1_StartPhi = new HTuple();
HTuple hv_R1_EndPhi = new HTuple(), hv_R1_PointOrder = new HTuple();
HTuple hv_R1_MinDist = new HTuple(), hv_R1_MaxDist = new HTuple();
HTuple hv_R1_AvgDist = new HTuple(), hv_R1_SigmaDist = new HTuple();
HTuple hv_ResultText = new HTuple(), hv_MeasureReasult;
// Initialize local and output iconic variables
//HOperatorSet.GenEmptyObj(out ho_Image);
HOperatorSet.GenEmptyObj(out ho_R1_Circle);
HOperatorSet.GenEmptyObj(out ho_R1_ROI_Image);
HOperatorSet.GenEmptyObj(out ho_R1_Region);
HOperatorSet.GenEmptyObj(out ho_R1_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_R1_Edges);
HOperatorSet.GenEmptyObj(out ho_R1_ContoursSplit);
HOperatorSet.GenEmptyObj(out ho_R1_SingleSegment);
//HOperatorSet.GenEmptyObj(out ho_R1_ContEllipse);
//Measure: SDMS_R1
//Author: John Hsieh
//Date: 2012
//ho_Image.Dispose();
//HOperatorSet.ReadImage(out ho_Image, "D:/Projects/Halcon/SDMS/SDMS_Measure/Images/E-1/E1-1.bmp");
//dev_open_window_fit_image(ho_Image, 0, 0, -1, -1, out hv_WindowHandle);
//dev_update_off ()
// dev_update_window(...); only in hdevelop
HOperatorSet.SetSystem("border_shape_models", "false");
//****Message Args
hv_msgOffsetY = 100;
hv_msgOffsetX = 100;
//****Model All
//HOperatorSet.ReadShapeModel("D:/Projects/Halcon/SDMS/SDMS_Measure/Model/MatchingAll.shm",
// out hv_AllModelId);
//ho_AllModelContours.Dispose();
//HOperatorSet.GetShapeModelContours(out ho_AllModelContours, hv_AllModelId, 1);
//HOperatorSet.FindShapeModel(ho_Image, hv_AllModelId, (new HTuple(0)).TupleRad()
// , (new HTuple(360)).TupleRad(), 0.5, 1, 0.5, "least_squares", 6, 0.75, out hv_AllModelRow,
// out hv_AllModelColumn, out hv_AllModelAngle, out modelScore);
//****Model Args
//STD 中心點
hv_STD_Row = 772;
hv_STD_Col = 1003;
//目前圖形 中心點
hv_Img_Row = hv_AllModelRow.Clone();
hv_Img_Col = hv_AllModelColumn.Clone();
//目前圖形 Rotate Angle
hv_Img_Rotate_Angle = hv_AllModelAngle.Clone();
//目前圖形偏移量
hv_OffsetRow = hv_Img_Row - hv_STD_Row;
hv_OffsetCol = hv_Img_Col - hv_STD_Col;
//****R1
//STD R1_ 位置
hv_STD_R1_Row = 589;
hv_STD_R1_Col = 705;
//STD 向量 STD_R1_
hv_STD_R1_V_Row = hv_STD_R1_Row - hv_STD_Row;
hv_STD_R1_V_Col = hv_STD_R1_Col - hv_STD_Col;
//R1_X, R1_Y 分量
hv_R1_X = (hv_STD_R1_V_Col * (hv_Img_Rotate_Angle.TupleCos())) + (hv_STD_R1_V_Row * (hv_Img_Rotate_Angle.TupleSin()
));
hv_R1_Y = (hv_STD_R1_V_Row * (hv_Img_Rotate_Angle.TupleCos())) - (hv_STD_R1_V_Col * (hv_Img_Rotate_Angle.TupleSin()
));
//目前圖形 R1_ 位置
hv_R1_Pos_Row = (hv_STD_Row + hv_R1_Y) + hv_OffsetRow;
hv_R1_Pos_Col = (hv_STD_Col + hv_R1_X) + hv_OffsetCol;
hv_R1_R = 20;
//*ROI
ho_R1_Circle.Dispose();
HOperatorSet.GenCircle(out ho_R1_Circle, hv_R1_Pos_Row, hv_R1_Pos_Col, hv_R1_R);
ho_R1_ROI_Image.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_R1_Circle, out ho_R1_ROI_Image);
ho_R1_Region.Dispose();
HOperatorSet.FastThreshold(ho_R1_ROI_Image, out ho_R1_Region, 100, 255, 20);
ho_R1_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_R1_ROI_Image, ho_R1_Region, out ho_R1_ImageReduced
);
//sobel_fast 具有較寬的選擇範圍，搭配 alpha 參數 (alpha 越大, 容錯範圍大)
hv_alpha = 0.9;
hv_R1_low = 20;
hv_R1_high = 40;
ho_R1_Edges.Dispose();
HOperatorSet.EdgesSubPix(ho_R1_ImageReduced, out ho_R1_Edges, "sobel_fast",
hv_alpha, hv_R1_low, hv_R1_high);
//stop ()
//*所有的數值越小，表示容錯範圍大，反之亦然
ho_R1_ContoursSplit.Dispose();
HOperatorSet.SegmentContoursXld(ho_R1_Edges, out ho_R1_ContoursSplit, "lines_circles",
17, 1, 1);
//Display the results
//===========================================================
HOperatorSet.CountObj(ho_R1_ContoursSplit, out hv_R1_NumSegments);
hv_NumCircles = 0;
hv_Num_Circle_Point = 5;
hv_R1 = 999;
hv_R1_limit = 10;
for (hv_i = 1; hv_i.Continue(hv_R1_NumSegments, 1); hv_i = hv_i.TupleAdd(1))
{
ho_R1_SingleSegment.Dispose();
HOperatorSet.SelectObj(ho_R1_ContoursSplit, out ho_R1_SingleSegment, hv_i);
HOperatorSet.GetContourGlobalAttribXld(ho_R1_SingleSegment, "cont_approx", out hv_Attrib);
if ((int)(new HTuple(hv_Attrib.TupleEqual(1))) != 0)
{
HOperatorSet.FitCircleContourXld(ho_R1_SingleSegment, "atukey", -1, 2,
hv_Num_Circle_Point, 5, 2, out hv_R1_Row, out hv_R1_Column, out hv_R1_Radius,
out hv_R1_StartPhi, out hv_R1_EndPhi, out hv_R1_PointOrder);
//ho_R1_ContEllipse.Dispose();
//HOperatorSet.GenEllipseContourXld(out ho_R1_ContEllipse, hv_R1_Row, hv_R1_Column,
// 0, hv_R1_Radius, hv_R1_Radius, 0, (new HTuple(360)).TupleRad(), "positive",
// 1.0);
//HOperatorSet.DistEllipseContourXld(ho_R1_SingleSegment, "algebraic", -1,
// 0, hv_R1_Row, hv_R1_Column, 0, hv_R1_Radius, hv_R1_Radius, out hv_R1_MinDist,
// out hv_R1_MaxDist, out hv_R1_AvgDist, out hv_R1_SigmaDist);
hv_NumCircles = hv_NumCircles + 1;
if ((int)(new HTuple(hv_R1.TupleGreater(hv_R1_Radius))) != 0)
{
hv_R1 = hv_R1_Radius.Clone();
//hv_ResultText = (((("C" + hv_NumCircles) + ": Radius = ") + (hv_R1_Radius.TupleString(
// ".3"))) + " / MaxDeviation: ") + (hv_R1_MaxDist.TupleString(".3"));
//HOperatorSet.SetTposition(hv_WindowHandle, hv_R1_Pos_Row - hv_msgOffsetY,
// hv_R1_Pos_Col - hv_msgOffsetX);
//HOperatorSet.WriteString(hv_WindowHandle, "R1");
#region 組合結果
mResult = new CircleResult(new HTuple(hv_R1_Row)
, new HTuple(hv_R1_Column)
, new HTuple(hv_R1_Radius)
, new HTuple(hv_R1_StartPhi)
, new HTuple(hv_R1_EndPhi)
, new HTuple(hv_R1_PointOrder)) { };
#endregion
}
}
}
hv_MeasureReasult = hv_R1.Clone();
//****R1 End
//ho_Image.Dispose();
ho_R1_Circle.Dispose();
ho_R1_ROI_Image.Dispose();
ho_R1_Region.Dispose();
ho_R1_ImageReduced.Dispose();
ho_R1_Edges.Dispose();
ho_R1_ContoursSplit.Dispose();
ho_R1_SingleSegment.Dispose();
//ho_R1_ContEllipse.Dispose();
return mResult;
}
// Procedures
public void EnhanceEdgeArea(HObject ho_InputImage, out HObject ho_EnhancedImage,
HTuple hv_LineStartPoint_Row, HTuple hv_LineStartPoint_Column, HTuple hv_LineEndPoint_Row,
HTuple hv_LineEndPoint_Column, HTuple hv_RoiWidthLen, HTuple hv_EmpMaskWidth,
HTuple hv_EmpMaskHeight, HTuple hv_EmpMaskFactor, HTuple hv_MeanMaskWidth, HTuple hv_MeanMaskHeight,
HTuple hv_IterationCount, HTuple hv_MinGray, HTuple hv_MaxGray, HTuple hv_Grayval,
HTuple hv_ClosingWidth, HTuple hv_ClosingHeight, HTuple hv_DilationRadius)
{
// Stack for temporary objects
HObject[] OTemp = new HObject[20];
// Local iconic variables
HObject ho_Rectangle, ho_RegionDilation, ho_MeanImage = null;
HObject ho_ImageEmphasize = null, ho_Seg, ho_ConnectedRegions;
HObject ho_SelectedRegions, ho_RegionClosing, ho_RegionBorder;
HObject ho_RegionBorder2;
// Local control variables
HTuple hv_TmpCtrl_Row = null, hv_TmpCtrl_Column = null;
HTuple hv_TmpCtrl_Dr = null, hv_TmpCtrl_Dc = null, hv_TmpCtrl_Phi = null;
HTuple hv_TmpCtrl_Len1 = null, hv_TmpCtrl_Len2 = null;
HTuple hv_Index = null;
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_EnhancedImage);
HOperatorSet.GenEmptyObj(out ho_Rectangle);
HOperatorSet.GenEmptyObj(out ho_RegionDilation);
HOperatorSet.GenEmptyObj(out ho_MeanImage);
HOperatorSet.GenEmptyObj(out ho_ImageEmphasize);
HOperatorSet.GenEmptyObj(out ho_Seg);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions);
HOperatorSet.GenEmptyObj(out ho_RegionClosing);
HOperatorSet.GenEmptyObj(out ho_RegionBorder);
HOperatorSet.GenEmptyObj(out ho_RegionBorder2);
//
//init
//FilterAlpha := 6
//Measure 01: Convert coordinates to rectangle2 type
hv_TmpCtrl_Row = 0.5 * (hv_LineStartPoint_Row + hv_LineEndPoint_Row);
hv_TmpCtrl_Column = 0.5 * (hv_LineStartPoint_Column + hv_LineEndPoint_Column);
hv_TmpCtrl_Dr = hv_LineStartPoint_Row - hv_LineEndPoint_Row;
hv_TmpCtrl_Dc = hv_LineEndPoint_Column - hv_LineStartPoint_Column;
hv_TmpCtrl_Phi = hv_TmpCtrl_Dr.TupleAtan2(hv_TmpCtrl_Dc);
hv_TmpCtrl_Len1 = 0.5 * ((((hv_TmpCtrl_Dr * hv_TmpCtrl_Dr) + (hv_TmpCtrl_Dc * hv_TmpCtrl_Dc))).TupleSqrt()
);
hv_TmpCtrl_Len2 = hv_RoiWidthLen.Clone();
ho_Rectangle.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle, hv_TmpCtrl_Row, hv_TmpCtrl_Column,
hv_TmpCtrl_Phi, hv_TmpCtrl_Len1, hv_TmpCtrl_Len2);
ho_RegionDilation.Dispose();
HOperatorSet.DilationRectangle1(ho_Rectangle, out ho_RegionDilation, 100, 100);
ho_EnhancedImage.Dispose();
HOperatorSet.ReduceDomain(ho_InputImage, ho_RegionDilation, out ho_EnhancedImage
);
HTuple end_val17 = hv_IterationCount;
HTuple step_val17 = 1;
for (hv_Index = 1; hv_Index.Continue(end_val17, step_val17); hv_Index = hv_Index.TupleAdd(step_val17))
{
ho_MeanImage.Dispose();
HOperatorSet.MeanImage(ho_EnhancedImage, out ho_MeanImage, hv_MeanMaskWidth,
hv_MeanMaskHeight);
ho_ImageEmphasize.Dispose();
HOperatorSet.Emphasize(ho_MeanImage, out ho_ImageEmphasize, hv_EmpMaskWidth,
hv_EmpMaskHeight, hv_EmpMaskFactor);
ho_EnhancedImage.Dispose();
HOperatorSet.MeanImage(ho_ImageEmphasize, out ho_EnhancedImage, 2, 2);
//median_separate (ImageEmphasize, EnhancedImage, MeanMaskWidth, MeanMaskHeight, 'continued')
}
ho_Seg.Dispose();
HOperatorSet.FastThreshold(ho_EnhancedImage, out ho_Seg, hv_MinGray, hv_MaxGray,
150);
ho_ConnectedRegions.Dispose();
HOperatorSet.Connection(ho_Seg, out ho_ConnectedRegions);
ho_SelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_ConnectedRegions, out ho_SelectedRegions, "area",
"and", 1000, 9999999);
//opening_rectange1(SelectedRegions, RegionOpening, ClosingWidth, ClosingHeight)
ho_RegionClosing.Dispose();
HOperatorSet.ClosingRectangle1(ho_SelectedRegions, out ho_RegionClosing, hv_ClosingWidth,
hv_ClosingHeight);
ho_RegionBorder.Dispose();
HOperatorSet.Boundary(ho_RegionClosing, out ho_RegionBorder, "inner");
ho_RegionDilation.Dispose();
HOperatorSet.DilationCircle(ho_RegionClosing, out ho_RegionDilation, hv_DilationRadius);
ho_RegionBorder2.Dispose();
HOperatorSet.Boundary(ho_RegionDilation, out ho_RegionBorder2, "inner");
HOperatorSet.PaintRegion(ho_RegionDilation, ho_EnhancedImage, out OTemp[0], hv_Grayval,
"fill");
ho_EnhancedImage.Dispose();
ho_EnhancedImage = OTemp[0];
//region_to_bin (RegionDilation, EnhancedImage, 255, 0, 512, 512)
ho_Rectangle.Dispose();
ho_RegionDilation.Dispose();
ho_MeanImage.Dispose();
ho_ImageEmphasize.Dispose();
ho_Seg.Dispose();
ho_ConnectedRegions.Dispose();
ho_SelectedRegions.Dispose();
ho_RegionClosing.Dispose();
ho_RegionBorder.Dispose();
ho_RegionBorder2.Dispose();
return;
}
private void action()
{
// Stack for temporary objects
HObject[] OTemp = new HObject[20];
// Local iconic variables
HObject ho_Rectangle, ho_ImageReduced;
HObject ho_Region, ho_RegionLines, ho_RegionUnion1, ho_RegionUnion2;
HObject ho_RegionUnion3, ho_Region1, ho_ConnectedRegions;
HObject ho_RegionFillUp, ho_SelectedRegions, ho_SortedRegions;
HObject ho_ObjectSelected = null, ho_Rectangle1 = null, ho_ImageReduced1 = null;
HObject ho_Circle1 = null, ho_Circle2 = null, ho_Circle3 = null;
HObject ho_Circle4 = null, ho_RegionUnionc1 = null, ho_RegionUnionc2 = null;
HObject ho_RegionUnionc3 = null, ho_ConnectedRegionsc = null;
HObject ho_SortedRegions1 = null, ho_ContoursL = null, ho_RegionLinesL = null;
HObject ho_RegionLinesL1 = null, ho_RegionUnionL = null, ho_ConnectedRegionsL = null;
HObject ho_SelectedRegionsL = null, ho_RegionFillUpL = null;
HObject ho_ContoursSplitL = null, ho_SelectedContoursL = null;
HObject ho_UnionContoursL = null, ho_RegionL = null, ho_RegionDifferenceL = null;
HObject ho_ContoursR = null, ho_RegionLinesR = null, ho_RegionLinesR1 = null;
HObject ho_RegionUnionR = null, ho_ConnectedRegionsR = null;
HObject ho_SelectedRegionsR = null, ho_RegionFillUpR = null;
HObject ho_ContoursSplitR = null, ho_SelectedContoursR = null;
HObject ho_UnionContoursR = null, ho_RegionR = null, ho_RegionDifferenceR = null;
HObject ho_ConnectedRegions1, ho_ObjectSelected1 = null;
// Local control variables
HTuple hv_Width = null, hv_Height = null, hv_Row11 = null;
HTuple hv_Column11 = null, hv_Row21 = null, hv_Column21 = null;
HTuple hv_Row12 = null, hv_Column12 = null, hv_Row22 = null;
HTuple hv_Column22 = null, hv_Number = null, hv_h = null;
HTuple hv_w = null, hv_i = null, hv_Row = new HTuple();
HTuple hv_Column = new HTuple(), hv_Phi = new HTuple();
HTuple hv_Length1 = new HTuple(), hv_Length2 = new HTuple();
HTuple hv_Cos = new HTuple(), hv_Sin = new HTuple(), hv_RT_X = new HTuple();
HTuple hv_RT_Y = new HTuple(), hv_AX = new HTuple(), hv_AY = new HTuple();
HTuple hv_RB_X = new HTuple(), hv_RB_Y = new HTuple();
HTuple hv_BX = new HTuple(), hv_BY = new HTuple(), hv_LB_X = new HTuple();
HTuple hv_LB_Y = new HTuple(), hv_CX = new HTuple(), hv_CY = new HTuple();
HTuple hv_LT_X = new HTuple(), hv_LT_Y = new HTuple();
HTuple hv_DX = new HTuple(), hv_DY = new HTuple(), hv_Number1 = new HTuple();
HTuple hv_Area = new HTuple(), hv_Row1 = new HTuple();
HTuple hv_Column1 = new HTuple(), hv_Distance = new HTuple();
HTuple hv_Distance1 = new HTuple(), hv_shapeParam = new HTuple();
HTuple hv_MetrologyHandleL = new HTuple(), hv_Index = new HTuple();
HTuple hv_RowL = new HTuple(), hv_ColumnL = new HTuple();
HTuple hv_l = new HTuple(), hv_NumberL = new HTuple();
HTuple hv_MetrologyHandleR = new HTuple(), hv_RowR = new HTuple();
HTuple hv_ColumnR = new HTuple(), hv_r = new HTuple();
HTuple hv_NumberR = new HTuple(), hv_AreaL = new HTuple();
HTuple hv_AreaR = new HTuple(), hv_Area1 = null, hv_Row2 = null;
HTuple hv_Column2 = null, hv_Area2 = null, hv_Row3 = null;
HTuple hv_Column3 = null, hv_hm = null, hv_wm = null, hv_Row13 = null;
HTuple hv_Column13 = null, hv_Row23 = null, hv_Column23 = null;
HTuple hv_zh = null, hv_w1 = new HTuple(), hv_Row4 = new HTuple(), hv_Column4 = new HTuple();
HTuple hv_Phi1 = new HTuple(), hv_Length11 = new HTuple(), hv_Length21 = new HTuple(), hv_Concat = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Rectangle);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Region);
HOperatorSet.GenEmptyObj(out ho_RegionLines);
HOperatorSet.GenEmptyObj(out ho_RegionUnion1);
HOperatorSet.GenEmptyObj(out ho_RegionUnion2);
HOperatorSet.GenEmptyObj(out ho_RegionUnion3);
HOperatorSet.GenEmptyObj(out ho_Region1);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_RegionFillUp);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions);
HOperatorSet.GenEmptyObj(out ho_SortedRegions);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected);
HOperatorSet.GenEmptyObj(out ho_Rectangle1);
HOperatorSet.GenEmptyObj(out ho_ImageReduced1);
HOperatorSet.GenEmptyObj(out ho_Circle1);
HOperatorSet.GenEmptyObj(out ho_Circle2);
HOperatorSet.GenEmptyObj(out ho_Circle3);
HOperatorSet.GenEmptyObj(out ho_Circle4);
HOperatorSet.GenEmptyObj(out ho_RegionUnionc1);
HOperatorSet.GenEmptyObj(out ho_RegionUnionc2);
HOperatorSet.GenEmptyObj(out ho_RegionUnionc3);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegionsc);
HOperatorSet.GenEmptyObj(out ho_SortedRegions1);
HOperatorSet.GenEmptyObj(out ho_ContoursL);
HOperatorSet.GenEmptyObj(out ho_RegionLinesL);
HOperatorSet.GenEmptyObj(out ho_RegionLinesL1);
HOperatorSet.GenEmptyObj(out ho_RegionUnionL);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegionsL);
HOperatorSet.GenEmptyObj(out ho_SelectedRegionsL);
HOperatorSet.GenEmptyObj(out ho_RegionFillUpL);
HOperatorSet.GenEmptyObj(out ho_ContoursSplitL);
HOperatorSet.GenEmptyObj(out ho_SelectedContoursL);
HOperatorSet.GenEmptyObj(out ho_UnionContoursL);
HOperatorSet.GenEmptyObj(out ho_RegionL);
HOperatorSet.GenEmptyObj(out ho_RegionDifferenceL);
HOperatorSet.GenEmptyObj(out ho_ContoursR);
HOperatorSet.GenEmptyObj(out ho_RegionLinesR);
HOperatorSet.GenEmptyObj(out ho_RegionLinesR1);
HOperatorSet.GenEmptyObj(out ho_RegionUnionR);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegionsR);
HOperatorSet.GenEmptyObj(out ho_SelectedRegionsR);
HOperatorSet.GenEmptyObj(out ho_RegionFillUpR);
HOperatorSet.GenEmptyObj(out ho_ContoursSplitR);
HOperatorSet.GenEmptyObj(out ho_SelectedContoursR);
HOperatorSet.GenEmptyObj(out ho_UnionContoursR);
HOperatorSet.GenEmptyObj(out ho_RegionR);
HOperatorSet.GenEmptyObj(out ho_RegionDifferenceR);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions1);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected1);
HOperatorSet.Union1(algorithm.Region, out RegionToDisp);
try
{
ho_Rectangle.Dispose();
HOperatorSet.GenRectangle1(out ho_Rectangle, DRow1m, DCol1m, DRow2m, DCol2m);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(Image, ho_Rectangle, out ho_ImageReduced);
ho_Region.Dispose();
HOperatorSet.GetImageSize(Image, out hv_Width, out hv_Height);
HOperatorSet.Threshold(ho_ImageReduced, out ho_Region, 128, 255);
HOperatorSet.SmallestRectangle1(ho_Region, out hv_Row12, out hv_Column12, out hv_Row22,
out hv_Column22);
ho_RegionLines.Dispose();
HOperatorSet.GenRegionLine(out ho_RegionLines, (hv_Row12 + hv_Row22) / 2, hv_Column12,
((hv_Row12 + hv_Row22) / 2) + 1, hv_Column12);
ho_RegionUnion1.Dispose();
HOperatorSet.Union1(ho_RegionLines, out ho_RegionUnion1);
ho_RegionUnion2.Dispose();
HOperatorSet.Union1(ho_RegionLines, out ho_RegionUnion2);
ho_RegionUnion3.Dispose();
HOperatorSet.Union1(ho_RegionLines, out ho_RegionUnion3);
ho_Region1.Dispose();
HOperatorSet.Threshold(ho_ImageReduced, out ho_Region1, 128, 255);
ho_ConnectedRegions.Dispose();
HOperatorSet.Connection(ho_Region1, out ho_ConnectedRegions);
ho_RegionFillUp.Dispose();
HOperatorSet.FillUp(ho_ConnectedRegions, out ho_RegionFillUp);
ho_SelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_RegionFillUp, out ho_SelectedRegions, "area", "and",
500, 99999000);
ho_SortedRegions.Dispose();
HOperatorSet.SortRegion(ho_SelectedRegions, out ho_SortedRegions, "upper_left",
"true", "column");
HOperatorSet.CountObj(ho_SortedRegions, out hv_Number);
// stop(); only in hdevelop
// stop(); only in hdevelop
hv_h = new HTuple();
hv_w = new HTuple();
hv_w1 = new HTuple();
ho_ObjectSelected1.Dispose();
HOperatorSet.SelectObj(ho_SortedRegions, out ho_ObjectSelected1, 1);
HOperatorSet.SmallestRectangle2(ho_ObjectSelected1, out hv_Row4, out hv_Column4,
out hv_Phi1, out hv_Length11, out hv_Length21);
hv_w1 = hv_w1.TupleConcat(hv_Length21 * 2);
HTuple end_val40 = hv_Number - 1;
HTuple step_val40 = 1;
for (hv_i = 2; hv_i.Continue(end_val40, step_val40); hv_i = hv_i.TupleAdd(step_val40))
{
ho_ObjectSelected.Dispose();
HOperatorSet.SelectObj(ho_SortedRegions, out ho_ObjectSelected, hv_i);
HOperatorSet.SmallestRectangle2(ho_ObjectSelected, out hv_Row, out hv_Column,
out hv_Phi, out hv_Length1, out hv_Length2);
//if (Length1>(Row22-Row12)*0.25)
ho_Rectangle1.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle1, hv_Row, hv_Column, hv_Phi,
hv_Length1 * 0.85, hv_Length2);
ho_ImageReduced1.Dispose();
HOperatorSet.ReduceDomain(ho_ImageReduced, ho_Rectangle1, out ho_ImageReduced1
);
//*矩形4个角点
HOperatorSet.TupleCos(hv_Phi, out hv_Cos);
HOperatorSet.TupleSin(hv_Phi, out hv_Sin);
//*dev_set_color('green')
hv_RT_X = (((-hv_Length1) * 0.85) * hv_Cos) - (hv_Length2 * hv_Sin);
hv_RT_Y = (((-hv_Length1) * 0.85) * hv_Sin) + (hv_Length2 * hv_Cos);
ho_Circle1.Dispose();
HOperatorSet.GenCircle(out ho_Circle1, hv_Row - hv_RT_Y, hv_Column + hv_RT_X,
0.5);
//*最小矩形的顶点A
hv_AX = (((-hv_Length1) * 0.85) * hv_Cos) - (hv_Length2 * hv_Sin);
hv_AY = (((-hv_Length1) * 0.85) * hv_Sin) + (hv_Length2 * hv_Cos);
//*dev_set_color('red')
hv_RB_X = ((hv_Length1 * 0.85) * hv_Cos) - (hv_Length2 * hv_Sin);
hv_RB_Y = ((hv_Length1 * 0.85) * hv_Sin) + (hv_Length2 * hv_Cos);
ho_Circle2.Dispose();
HOperatorSet.GenCircle(out ho_Circle2, hv_Row - hv_RB_Y, hv_Column + hv_RB_X,
0.5);
//*最小矩形的顶点B
hv_BX = ((hv_Length1 * 0.85) * hv_Cos) - (hv_Length2 * hv_Sin);
hv_BY = ((hv_Length1 * 0.85) * hv_Sin) + (hv_Length2 * hv_Cos);
//*dev_set_color('yellow')
hv_LB_X = ((hv_Length1 * 0.85) * hv_Cos) + (hv_Length2 * hv_Sin);
hv_LB_Y = ((hv_Length1 * 0.85) * hv_Sin) - (hv_Length2 * hv_Cos);
ho_Circle3.Dispose();
HOperatorSet.GenCircle(out ho_Circle3, hv_Row - hv_LB_Y, hv_Column + hv_LB_X,
0.5);
//*最小矩形的顶点C
hv_CX = ((hv_Length1 * 0.85) * hv_Cos) + (hv_Length2 * hv_Sin);
hv_CY = ((hv_Length1 * 0.85) * hv_Sin) - (hv_Length2 * hv_Cos);
//*dev_set_color('pink')
hv_LT_X = (((-hv_Length1) * 0.85) * hv_Cos) + (hv_Length2 * hv_Sin);
hv_LT_Y = (((-hv_Length1) * 0.85) * hv_Sin) - (hv_Length2 * hv_Cos);
ho_Circle4.Dispose();
HOperatorSet.GenCircle(out ho_Circle4, hv_Row - hv_LT_Y, hv_Column + hv_LT_X,
0.5);
//*最小矩形的顶点D
hv_DX = (((-hv_Length1) * 0.85) * hv_Cos) + (hv_Length2 * hv_Sin);
hv_DY = (((-hv_Length1) * 0.85) * hv_Sin) - (hv_Length2 * hv_Cos);
//stop ()
ho_RegionUnionc1.Dispose();
HOperatorSet.Union2(ho_Circle1, ho_Circle2, out ho_RegionUnionc1);
ho_RegionUnionc2.Dispose();
HOperatorSet.Union2(ho_RegionUnionc1, ho_Circle3, out ho_RegionUnionc2);
ho_RegionUnionc3.Dispose();
HOperatorSet.Union2(ho_RegionUnionc2, ho_Circle4, out ho_RegionUnionc3);
ho_ConnectedRegionsc.Dispose();
HOperatorSet.Connection(ho_RegionUnionc3, out ho_ConnectedRegionsc);
//count_obj (RegionUnionc3, Number1)
ho_SortedRegions1.Dispose();
HOperatorSet.SortRegion(ho_ConnectedRegionsc, out ho_SortedRegions1, "upper_left",
"true", "row");
HOperatorSet.AreaCenter(ho_SortedRegions1, out hv_Area, out hv_Row1, out hv_Column1);
HOperatorSet.DistancePp(hv_Row1.TupleSelect(0), hv_Column1.TupleSelect(
0), hv_Row1.TupleSelect(1), hv_Column1.TupleSelect(1), out hv_Distance);
HOperatorSet.DistancePl(hv_Row1.TupleSelect(0), hv_Column1.TupleSelect(
0), hv_Row1.TupleSelect(2), hv_Column1.TupleSelect(2), hv_Row1.TupleSelect(
3), hv_Column1.TupleSelect(3), out hv_Distance1);
//if (i>1)
hv_h = hv_h.TupleConcat((hv_Distance1 * 4) / 3);
//endif
hv_w = hv_w.TupleConcat(hv_Distance);
//gen_region_line (RegionLines2, (Row1[0]+Row1[1])/2, (Column1[0]+Column1[1])/2, (Row1[2]+Row1[3])/2, (Column1[2]+Column1[3])/2)
hv_shapeParam = new HTuple();
hv_shapeParam = hv_shapeParam.TupleConcat(((hv_Row1.TupleSelect(
0)) + (hv_Row1.TupleSelect(1))) / 2);
hv_shapeParam = hv_shapeParam.TupleConcat(((hv_Column1.TupleSelect(
0)) + (hv_Column1.TupleSelect(1))) / 2);
hv_shapeParam = hv_shapeParam.TupleConcat(((hv_Row1.TupleSelect(
2)) + (hv_Row1.TupleSelect(3))) / 2);
hv_shapeParam = hv_shapeParam.TupleConcat(((hv_Column1.TupleSelect(
2)) + (hv_Column1.TupleSelect(3))) / 2);
//shapeParam := [Row12,(Column22+Column12)/2,Row22,(Column22+Column12)/2]
//找左侧点
HOperatorSet.CreateMetrologyModel(out hv_MetrologyHandleL);
HOperatorSet.SetMetrologyModelImageSize(hv_MetrologyHandleL, hv_Width,
hv_Height);
HOperatorSet.AddMetrologyObjectGeneric(hv_MetrologyHandleL, "line", hv_shapeParam,
hv_Distance / 2, 1, 1, 60, new HTuple(), new HTuple(), out hv_Index);
//设置参数
HOperatorSet.SetMetrologyObjectParam(hv_MetrologyHandleL, "all", "measure_transition",
"negative");
HOperatorSet.SetMetrologyObjectParam(hv_MetrologyHandleL, "all", "num_measures",
150);
HOperatorSet.SetMetrologyObjectParam(hv_MetrologyHandleL, "all", "num_instances",
1);
HOperatorSet.SetMetrologyObjectParam(hv_MetrologyHandleL, "all", "measure_select",
"last");
//开始找边缘
HOperatorSet.ApplyMetrologyModel(ho_ImageReduced1, hv_MetrologyHandleL);
ho_ContoursL.Dispose();
HOperatorSet.GetMetrologyObjectMeasures(out ho_ContoursL, hv_MetrologyHandleL,
"all", "all", out hv_RowL, out hv_ColumnL);
if (HDevWindowStack.IsOpen())
{
//dev_set_color ('red')
}
//disp_cross (3600, RowL, ColumnL, 6, Phi)
//左侧点，用一Row,只取最左边点
//gen_cross_contour_xld (CrossL, RowL, ColumnL, 6, 0)
///释放测量句柄
HOperatorSet.ClearMetrologyModel(hv_MetrologyHandleL);
//gen_region_line (RegionLines, Row11, Column11, Row11+1, Column11)
//union1 (RegionLines, RegionUnion1)
for (hv_l = 0; (int)hv_l <= (int)((new HTuple(hv_RowL.TupleLength())) - 2); hv_l = (int)hv_l + 1)
{
ho_RegionLinesL.Dispose();
HOperatorSet.GenRegionLine(out ho_RegionLinesL, hv_RowL.TupleSelect(hv_l),
hv_ColumnL.TupleSelect(hv_l), hv_RowL.TupleSelect(hv_l + 1), hv_ColumnL.TupleSelect(
hv_l + 1));
{
HObject ExpTmpOutVar_0;
HOperatorSet.Union2(ho_RegionUnion1, ho_RegionLinesL, out ExpTmpOutVar_0
);
ho_RegionUnion1.Dispose();
ho_RegionUnion1 = ExpTmpOutVar_0;
}
}
ho_RegionLinesL1.Dispose();
HOperatorSet.GenRegionLine(out ho_RegionLinesL1, hv_RowL.TupleSelect(0),
hv_ColumnL.TupleSelect(0), hv_RowL.TupleSelect((new HTuple(hv_RowL.TupleLength()
)) - 1), hv_ColumnL.TupleSelect((new HTuple(hv_RowL.TupleLength())) - 1));
ho_RegionUnionL.Dispose();
HOperatorSet.Union2(ho_RegionUnion1, ho_RegionLinesL1, out ho_RegionUnionL
);
ho_ConnectedRegionsL.Dispose();
HOperatorSet.Connection(ho_RegionUnionL, out ho_ConnectedRegionsL);
ho_SelectedRegionsL.Dispose();
HOperatorSet.SelectShapeStd(ho_ConnectedRegionsL, out ho_SelectedRegionsL,
"max_area", 70);
ho_RegionFillUpL.Dispose();
HOperatorSet.FillUp(ho_SelectedRegionsL, out ho_RegionFillUpL);
ho_ContoursL.Dispose();
HOperatorSet.GenContourRegionXld(ho_RegionFillUpL, out ho_ContoursL, "border");
ho_ContoursSplitL.Dispose();
HOperatorSet.SegmentContoursXld(ho_ContoursL, out ho_ContoursSplitL, "lines_circles",
5, 8, 3.5);
ho_SelectedContoursL.Dispose();
HOperatorSet.SelectContoursXld(ho_ContoursSplitL, out ho_SelectedContoursL,
"contour_length", 70, 2000, -0.5, 0.5);
//***
ho_UnionContoursL.Dispose();
HOperatorSet.UnionAdjacentContoursXld(ho_SelectedContoursL, out ho_UnionContoursL,
10, 1, "attr_keep");
ho_RegionL.Dispose();
HOperatorSet.GenRegionContourXld(ho_UnionContoursL, out ho_RegionL, "filled");
ho_RegionDifferenceL.Dispose();
HOperatorSet.Difference(ho_RegionFillUpL, ho_RegionL, out ho_RegionDifferenceL
);
HOperatorSet.CountObj(ho_RegionDifferenceL, out hv_NumberL);
//*
//找右侧点
HOperatorSet.CreateMetrologyModel(out hv_MetrologyHandleR);
HOperatorSet.SetMetrologyModelImageSize(hv_MetrologyHandleR, hv_Width,
hv_Height);
HOperatorSet.AddMetrologyObjectGeneric(hv_MetrologyHandleR, "line", hv_shapeParam,
hv_Distance / 2, 1, 1, 60, new HTuple(), new HTuple(), out hv_Index);
//设置参数
HOperatorSet.SetMetrologyObjectParam(hv_MetrologyHandleR, "all", "measure_transition",
"positive");
HOperatorSet.SetMetrologyObjectParam(hv_MetrologyHandleR, "all", "num_measures",
100);
HOperatorSet.SetMetrologyObjectParam(hv_MetrologyHandleR, "all", "num_instances",
1);
HOperatorSet.SetMetrologyObjectParam(hv_MetrologyHandleR, "all", "measure_select",
"first");
//开始找边缘
HOperatorSet.ApplyMetrologyModel(ho_ImageReduced1, hv_MetrologyHandleR);
ho_ContoursR.Dispose();
HOperatorSet.GetMetrologyObjectMeasures(out ho_ContoursR, hv_MetrologyHandleR,
"all", "all", out hv_RowR, out hv_ColumnR);
//disp_obj (Image, 3600)
if (HDevWindowStack.IsOpen())
{
//dev_set_color ('red')
}
//disp_cross (3600, RowR, ColumnR, 6, Phi)
//*右侧点，用一Row,只取最右边点
//gen_cross_contour_xld (CrossR, RowR, ColumnR, 6, 0)
///释放测量句柄
HOperatorSet.ClearMetrologyModel(hv_MetrologyHandleR);
//close_measure (MeasureHandle1)
//stop ()
//gen_region_line (RegionLines, Row11, Column11, Row11+1, Column11)
//union1 (RegionLines, RegionUnion1)
for (hv_r = 0; (int)hv_r <= (int)((new HTuple(hv_RowR.TupleLength())) - 2); hv_r = (int)hv_r + 1)
{
ho_RegionLinesR.Dispose();
HOperatorSet.GenRegionLine(out ho_RegionLinesR, hv_RowR.TupleSelect(hv_r),
hv_ColumnR.TupleSelect(hv_r), hv_RowR.TupleSelect(hv_r + 1), hv_ColumnR.TupleSelect(
hv_r + 1));
{
HObject ExpTmpOutVar_0;
HOperatorSet.Union2(ho_RegionUnion2, ho_RegionLinesR, out ExpTmpOutVar_0
);
ho_RegionUnion2.Dispose();
ho_RegionUnion2 = ExpTmpOutVar_0;
}
}
ho_RegionLinesR1.Dispose();
HOperatorSet.GenRegionLine(out ho_RegionLinesR1, hv_RowR.TupleSelect(0),
hv_ColumnR.TupleSelect(0), hv_RowR.TupleSelect((new HTuple(hv_RowR.TupleLength()
)) - 1), hv_ColumnR.TupleSelect((new HTuple(hv_RowR.TupleLength())) - 1));
ho_RegionUnionR.Dispose();
HOperatorSet.Union2(ho_RegionUnion2, ho_RegionLinesR1, out ho_RegionUnionR
);
ho_ConnectedRegionsR.Dispose();
HOperatorSet.Connection(ho_RegionUnionR, out ho_ConnectedRegionsR);
ho_SelectedRegionsR.Dispose();
HOperatorSet.SelectShapeStd(ho_ConnectedRegionsR, out ho_SelectedRegionsR,
"max_area", 70);
ho_RegionFillUpR.Dispose();
HOperatorSet.FillUp(ho_SelectedRegionsR, out ho_RegionFillUpR);
ho_ContoursR.Dispose();
HOperatorSet.GenContourRegionXld(ho_RegionFillUpR, out ho_ContoursR, "border");
ho_ContoursSplitR.Dispose();
HOperatorSet.SegmentContoursXld(ho_ContoursR, out ho_ContoursSplitR, "lines_circles",
5, 8, 3.5);
ho_SelectedContoursR.Dispose();
HOperatorSet.SelectContoursXld(ho_ContoursSplitR, out ho_SelectedContoursR,
"contour_length", 70, 2000, -0.5, 0.5);
ho_UnionContoursR.Dispose();
HOperatorSet.UnionAdjacentContoursXld(ho_SelectedContoursR, out ho_UnionContoursR,
10, 1, "attr_keep");
ho_RegionR.Dispose();
HOperatorSet.GenRegionContourXld(ho_UnionContoursR, out ho_RegionR, "filled");
ho_RegionDifferenceR.Dispose();
HOperatorSet.Difference(ho_RegionFillUpR, ho_RegionR, out ho_RegionDifferenceR
);
HOperatorSet.CountObj(ho_RegionDifferenceR, out hv_NumberR);
//stop ()
if ((int)(new HTuple(hv_NumberL.TupleGreater(0))) != 0)
{
HOperatorSet.AreaCenter(ho_RegionDifferenceL, out hv_AreaL, out hv_RowL,
out hv_ColumnL);
{
HObject ExpTmpOutVar_0;
HOperatorSet.Union2(ho_RegionUnion3, ho_RegionDifferenceL, out ExpTmpOutVar_0
);
ho_RegionUnion3.Dispose();
ho_RegionUnion3 = ExpTmpOutVar_0;
}
}
if ((int)(new HTuple(hv_NumberR.TupleGreater(0))) != 0)
{
HOperatorSet.AreaCenter(ho_RegionDifferenceR, out hv_AreaR, out hv_RowR,
out hv_ColumnR);
{
HObject ExpTmpOutVar_0;
HOperatorSet.Union2(ho_RegionUnion3, ho_RegionDifferenceR, out ExpTmpOutVar_0
);
ho_RegionUnion3.Dispose();
ho_RegionUnion3 = ExpTmpOutVar_0;
}
}
//union2 (RegionDifferenceL, RegionDifferenceR, RegionUnionLR)
//union2 (RegionUnion3, RegionUnionLR, RegionUnion3)
// stop(); only in hdevelop
//endif
}
HOperatorSet.AreaCenter(ho_RegionUnion3, out hv_Area1, out hv_Row2, out hv_Column2);
ho_ConnectedRegions1.Dispose();
HOperatorSet.Connection(ho_RegionUnion3, out ho_ConnectedRegions1);
HOperatorSet.AreaCenter(ho_ConnectedRegions1, out hv_Area2, out hv_Row3, out hv_Column3);
HOperatorSet.TupleConcat(hv_w1, hv_w, out hv_Concat);
hv_hm = (hv_h.TupleMin()) / (hv_h.TupleMean());
hv_wm = (hv_Concat.TupleMax()) / (hv_Concat.TupleMean());
ho_ObjectSelected.Dispose();
HOperatorSet.SelectObj(ho_SortedRegions, out ho_ObjectSelected, hv_Number);
HOperatorSet.SmallestRectangle1(ho_ObjectSelected, out hv_Row13, out hv_Column13,
out hv_Row23, out hv_Column23);
hv_zh = hv_Column23 - hv_Column13;
HOperatorSet.Union1(ho_ConnectedRegions1, out RegionToDisp);
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("最短比值");
hv_result = hv_result.TupleConcat(hv_hm.D);
hv_result = hv_result.TupleConcat("最宽比值");
hv_result = hv_result.TupleConcat(hv_wm.D);
hv_result = hv_result.TupleConcat("缺陷总面积");
hv_result = hv_result.TupleConcat(hv_Area1.D);
hv_result = hv_result.TupleConcat("最大缺陷面积");
hv_result = hv_result.TupleConcat(hv_Area2.D);
hv_result = hv_result.TupleConcat("宽度");
hv_result = hv_result.TupleConcat(hv_zh.D);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Region.Dispose();
ho_RegionLines.Dispose();
ho_RegionUnion1.Dispose();
ho_RegionUnion2.Dispose();
ho_RegionUnion3.Dispose();
ho_Region1.Dispose();
ho_ConnectedRegions.Dispose();
ho_RegionFillUp.Dispose();
ho_SelectedRegions.Dispose();
ho_SortedRegions.Dispose();
ho_ObjectSelected.Dispose();
ho_Rectangle1.Dispose();
ho_ImageReduced1.Dispose();
ho_Circle1.Dispose();
ho_Circle2.Dispose();
ho_Circle3.Dispose();
ho_Circle4.Dispose();
ho_RegionUnionc1.Dispose();
ho_RegionUnionc2.Dispose();
ho_RegionUnionc3.Dispose();
ho_ConnectedRegionsc.Dispose();
ho_SortedRegions1.Dispose();
ho_ContoursL.Dispose();
ho_RegionLinesL.Dispose();
ho_RegionLinesL1.Dispose();
ho_RegionUnionL.Dispose();
ho_ConnectedRegionsL.Dispose();
ho_SelectedRegionsL.Dispose();
ho_RegionFillUpL.Dispose();
ho_ContoursSplitL.Dispose();
ho_SelectedContoursL.Dispose();
ho_UnionContoursL.Dispose();
ho_RegionL.Dispose();
ho_RegionDifferenceL.Dispose();
ho_ContoursR.Dispose();
ho_RegionLinesR.Dispose();
ho_RegionLinesR1.Dispose();
ho_RegionUnionR.Dispose();
ho_ConnectedRegionsR.Dispose();
ho_SelectedRegionsR.Dispose();
ho_RegionFillUpR.Dispose();
ho_ContoursSplitR.Dispose();
ho_SelectedContoursR.Dispose();
ho_UnionContoursR.Dispose();
ho_RegionR.Dispose();
ho_RegionDifferenceR.Dispose();
ho_ConnectedRegions1.Dispose();
ho_ObjectSelected1.Dispose();
algorithm.Region.Dispose();
}
catch
{
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("最短比值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("最宽比值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("缺陷总面积");
hv_result = hv_result.TupleConcat(999999);
hv_result = hv_result.TupleConcat("最大缺陷面积");
hv_result = hv_result.TupleConcat(999999);
hv_result = hv_result.TupleConcat("宽度");
hv_result = hv_result.TupleConcat(999999);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Region.Dispose();
ho_RegionLines.Dispose();
ho_RegionUnion1.Dispose();
ho_RegionUnion2.Dispose();
ho_RegionUnion3.Dispose();
ho_Region1.Dispose();
ho_ConnectedRegions.Dispose();
ho_RegionFillUp.Dispose();
ho_SelectedRegions.Dispose();
ho_SortedRegions.Dispose();
ho_ObjectSelected.Dispose();
ho_Rectangle1.Dispose();
ho_ImageReduced1.Dispose();
ho_Circle1.Dispose();
ho_Circle2.Dispose();
ho_Circle3.Dispose();
ho_Circle4.Dispose();
ho_RegionUnionc1.Dispose();
ho_RegionUnionc2.Dispose();
ho_RegionUnionc3.Dispose();
ho_ConnectedRegionsc.Dispose();
ho_SortedRegions1.Dispose();
ho_ContoursL.Dispose();
ho_RegionLinesL.Dispose();
ho_RegionLinesL1.Dispose();
ho_RegionUnionL.Dispose();
ho_ConnectedRegionsL.Dispose();
ho_SelectedRegionsL.Dispose();
ho_RegionFillUpL.Dispose();
ho_ContoursSplitL.Dispose();
ho_SelectedContoursL.Dispose();
ho_UnionContoursL.Dispose();
ho_RegionL.Dispose();
ho_RegionDifferenceL.Dispose();
ho_ContoursR.Dispose();
ho_RegionLinesR.Dispose();
ho_RegionLinesR1.Dispose();
ho_RegionUnionR.Dispose();
ho_ConnectedRegionsR.Dispose();
ho_SelectedRegionsR.Dispose();
ho_RegionFillUpR.Dispose();
ho_ContoursSplitR.Dispose();
ho_SelectedContoursR.Dispose();
ho_UnionContoursR.Dispose();
ho_RegionR.Dispose();
ho_RegionDifferenceR.Dispose();
ho_ConnectedRegions1.Dispose();
ho_ObjectSelected1.Dispose();
algorithm.Region.Dispose();
}
finally
{
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Region.Dispose();
ho_RegionLines.Dispose();
ho_RegionUnion1.Dispose();
ho_RegionUnion2.Dispose();
ho_RegionUnion3.Dispose();
ho_Region1.Dispose();
ho_ConnectedRegions.Dispose();
ho_RegionFillUp.Dispose();
ho_SelectedRegions.Dispose();
ho_SortedRegions.Dispose();
ho_ObjectSelected.Dispose();
ho_Rectangle1.Dispose();
ho_ImageReduced1.Dispose();
ho_Circle1.Dispose();
ho_Circle2.Dispose();
ho_Circle3.Dispose();
ho_Circle4.Dispose();
ho_RegionUnionc1.Dispose();
ho_RegionUnionc2.Dispose();
ho_RegionUnionc3.Dispose();
ho_ConnectedRegionsc.Dispose();
ho_SortedRegions1.Dispose();
ho_ContoursL.Dispose();
ho_RegionLinesL.Dispose();
ho_RegionLinesL1.Dispose();
ho_RegionUnionL.Dispose();
ho_ConnectedRegionsL.Dispose();
ho_SelectedRegionsL.Dispose();
ho_RegionFillUpL.Dispose();
ho_ContoursSplitL.Dispose();
ho_SelectedContoursL.Dispose();
ho_UnionContoursL.Dispose();
ho_RegionL.Dispose();
ho_RegionDifferenceL.Dispose();
ho_ContoursR.Dispose();
ho_RegionLinesR.Dispose();
ho_RegionLinesR1.Dispose();
ho_RegionUnionR.Dispose();
ho_ConnectedRegionsR.Dispose();
ho_SelectedRegionsR.Dispose();
ho_RegionFillUpR.Dispose();
ho_ContoursSplitR.Dispose();
ho_SelectedContoursR.Dispose();
ho_UnionContoursR.Dispose();
ho_RegionR.Dispose();
ho_RegionDifferenceR.Dispose();
ho_ConnectedRegions1.Dispose();
ho_ObjectSelected1.Dispose();
algorithm.Region.Dispose();
}
}
public static void dev_display_shape_matching_results(HTuple hv_WindowHandle, HTuple hv_ModelID, HTuple hv_Color, HTuple hv_Row, HTuple hv_Column, HTuple hv_Angle, HTuple hv_ScaleR, HTuple hv_ScaleC, HTuple hv_Model)
{
if (hv_WindowHandle == null)
{
return;
}
// Local iconic variables
HObject ho_ModelContours = null, ho_ContoursAffinTrans = null;
// Local control variables
HTuple hv_NumMatches, hv_Index = new HTuple();
HTuple hv_Match = new HTuple(), hv_HomMat2DIdentity = new HTuple();
HTuple hv_HomMat2DScale = new HTuple(), hv_HomMat2DRotate = new HTuple();
HTuple hv_HomMat2DTranslate = new HTuple();
HTuple hv_Model_COPY_INP_TMP = hv_Model.Clone();
HTuple hv_ScaleC_COPY_INP_TMP = hv_ScaleC.Clone();
HTuple hv_ScaleR_COPY_INP_TMP = hv_ScaleR.Clone();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_ModelContours);
HOperatorSet.GenEmptyObj(out ho_ContoursAffinTrans);
try
{
//This procedure displays the results of Shape-Based Matching.
//
hv_NumMatches = new HTuple(hv_Row.TupleLength());
if ((int)(new HTuple(hv_NumMatches.TupleGreater(0))) != 0)
{
if ((int)(new HTuple((new HTuple(hv_ScaleR_COPY_INP_TMP.TupleLength())).TupleEqual(
1))) != 0)
{
HOperatorSet.TupleGenConst(hv_NumMatches, hv_ScaleR_COPY_INP_TMP, out hv_ScaleR_COPY_INP_TMP);
}
if ((int)(new HTuple((new HTuple(hv_ScaleC_COPY_INP_TMP.TupleLength())).TupleEqual(
1))) != 0)
{
HOperatorSet.TupleGenConst(hv_NumMatches, hv_ScaleC_COPY_INP_TMP, out hv_ScaleC_COPY_INP_TMP);
}
if ((int)(new HTuple((new HTuple(hv_Model_COPY_INP_TMP.TupleLength())).TupleEqual(
0))) != 0)
{
HOperatorSet.TupleGenConst(hv_NumMatches, 0, out hv_Model_COPY_INP_TMP);
}
else if ((int)(new HTuple((new HTuple(hv_Model_COPY_INP_TMP.TupleLength()
)).TupleEqual(1))) != 0)
{
HOperatorSet.TupleGenConst(hv_NumMatches, hv_Model_COPY_INP_TMP, out hv_Model_COPY_INP_TMP);
}
for (hv_Index = 0; (int)hv_Index <= (int)((new HTuple(hv_ModelID.TupleLength()
)) - 1); hv_Index = (int)hv_Index + 1)
{
ho_ModelContours.Dispose();
HOperatorSet.GetShapeModelContours(out ho_ModelContours, hv_ModelID.TupleSelect(
hv_Index), 1);
if (hv_WindowHandle > 0)
{
HOperatorSet.SetColor(hv_WindowHandle, hv_Color.TupleSelect(
hv_Index % (new HTuple(hv_Color.TupleLength()))));
}
for (hv_Match = 0; hv_Match.Continue(hv_NumMatches - 1, 1); hv_Match = hv_Match.TupleAdd(1))
{
if ((int)(new HTuple(hv_Index.TupleEqual(hv_Model_COPY_INP_TMP.TupleSelect(
hv_Match)))) != 0)
{
HOperatorSet.HomMat2dIdentity(out hv_HomMat2DIdentity);
HOperatorSet.HomMat2dScale(hv_HomMat2DIdentity, hv_ScaleR_COPY_INP_TMP.TupleSelect(
hv_Match), hv_ScaleC_COPY_INP_TMP.TupleSelect(hv_Match), 0, 0,
out hv_HomMat2DScale);
HOperatorSet.HomMat2dRotate(hv_HomMat2DScale, hv_Angle.TupleSelect(
hv_Match), 0, 0, out hv_HomMat2DRotate);
HOperatorSet.HomMat2dTranslate(hv_HomMat2DRotate, hv_Row.TupleSelect(
hv_Match), hv_Column.TupleSelect(hv_Match), out hv_HomMat2DTranslate);
ho_ContoursAffinTrans.Dispose();
HOperatorSet.AffineTransContourXld(ho_ModelContours, out ho_ContoursAffinTrans,
hv_HomMat2DTranslate);
HOperatorSet.DispObj(ho_ContoursAffinTrans, hv_WindowHandle);
}
}
}
}
ho_ModelContours.Dispose();
ho_ContoursAffinTrans.Dispose();
return;
}
catch (HalconException HDevExpDefaultException)
{
ho_ModelContours.Dispose();
ho_ContoursAffinTrans.Dispose();
throw HDevExpDefaultException;
}
}
public MeasureResult Action()
{
#region 輸出結果
CircleResult mResult = null;
#endregion
// Local iconic variables
HObject ho_R17_Circle = null;
HObject ho_R17_ROI_Image = null, ho_R17_Region = null, ho_R17_ImageReduced = null;
HObject ho_R17_Edges = null, ho_R17_ContoursSplit = null, ho_R17_SingleSegment = null;
HObject ho_R17_ContEllipse = null;
// Local control variables
HTuple hv_msgOffsetY, hv_msgOffsetX;
HTuple hv_STD_Row;
HTuple hv_STD_Col, hv_Img_Row, hv_Img_Col, hv_Img_Rotate_Angle;
HTuple hv_OffsetRow, hv_OffsetCol, hv_STD_R17_Row, hv_STD_R17_Col;
HTuple hv_STD_R17_V_Row, hv_STD_R17_V_Col, hv_R17_X, hv_R17_Y;
HTuple hv_R17_Pos_Row, hv_R17_Pos_Col, hv_R17_R;
HTuple hv_alpha = new HTuple(), hv_R17_low = new HTuple();
HTuple hv_R17_high = new HTuple(), hv_R17_NumSegments = new HTuple();
HTuple hv_NumCircles = new HTuple(), hv_Num_Circle_Point = new HTuple();
HTuple hv_R17 = new HTuple(), hv_i = new HTuple(), hv_Attrib = new HTuple();
HTuple hv_R17_Row = new HTuple(), hv_R17_Column = new HTuple();
HTuple hv_R17_Radius = new HTuple(), hv_R17_StartPhi = new HTuple();
HTuple hv_R17_EndPhi = new HTuple(), hv_R17_PointOrder = new HTuple();
HTuple hv_R17_MinDist = new HTuple(), hv_R17_MaxDist = new HTuple();
HTuple hv_R17_AvgDist = new HTuple(), hv_R17_SigmaDist = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_R17_Circle);
HOperatorSet.GenEmptyObj(out ho_R17_ROI_Image);
HOperatorSet.GenEmptyObj(out ho_R17_Region);
HOperatorSet.GenEmptyObj(out ho_R17_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_R17_Edges);
HOperatorSet.GenEmptyObj(out ho_R17_ContoursSplit);
HOperatorSet.GenEmptyObj(out ho_R17_SingleSegment);
HOperatorSet.GenEmptyObj(out ho_R17_ContEllipse);
//Measure: SDMS_R17
//Author: John Hsieh
//Date: 2012
// dev_update_off(...); only in hdevelop
HOperatorSet.SetSystem("border_shape_models", "false");
//****Message Args
hv_msgOffsetY = 100;
hv_msgOffsetX = 100;
//****Model Args
//STD 中心點
hv_STD_Row = 772;
hv_STD_Col = 1003;
//目前圖形 中心點
hv_Img_Row = hv_AllModelRow.Clone();
hv_Img_Col = hv_AllModelColumn.Clone();
//目前圖形 Rotate Angle
hv_Img_Rotate_Angle = hv_AllModelAngle.Clone();
//目前圖形偏移量
hv_OffsetRow = hv_Img_Row - hv_STD_Row;
hv_OffsetCol = hv_Img_Col - hv_STD_Col;
//****Display
if (HDevWindowStack.IsOpen())
{
HOperatorSet.ClearWindow(HDevWindowStack.GetActive());
}
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_Image, HDevWindowStack.GetActive());
}
//*****R17
//STD R17_ 位置
hv_STD_R17_Row = 802;
hv_STD_R17_Col = 660;
//STD 向量 STD_R17_
hv_STD_R17_V_Row = hv_STD_R17_Row - hv_STD_Row;
hv_STD_R17_V_Col = hv_STD_R17_Col - hv_STD_Col;
//R17_X, R17_Y 分量
hv_R17_X = (hv_STD_R17_V_Col * (hv_Img_Rotate_Angle.TupleCos())) + (hv_STD_R17_V_Row * (hv_Img_Rotate_Angle.TupleSin()
));
hv_R17_Y = (hv_STD_R17_V_Row * (hv_Img_Rotate_Angle.TupleCos())) - (hv_STD_R17_V_Col * (hv_Img_Rotate_Angle.TupleSin()
));
//目前圖形 R17_ 位置
hv_R17_Pos_Row = (hv_STD_Row + hv_R17_Y) + hv_OffsetRow;
hv_R17_Pos_Col = (hv_STD_Col + hv_R17_X) + hv_OffsetCol;
hv_R17_R = 17;
ho_R17_Circle.Dispose();
HOperatorSet.GenCircle(out ho_R17_Circle, hv_R17_Pos_Row, hv_R17_Pos_Col, hv_R17_R);
if (HDevWindowStack.IsOpen())
{
//dev_display (R17_Circle)
}
//stop ()
ho_R17_ROI_Image.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_R17_Circle, out ho_R17_ROI_Image);
ho_R17_Region.Dispose();
HOperatorSet.FastThreshold(ho_R17_ROI_Image, out ho_R17_Region, 100, 255, 15);
ho_R17_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_R17_ROI_Image, ho_R17_Region, out ho_R17_ImageReduced
);
//stop ()
//sobel_fast 具有較寬的選擇範圍，搭配 alpha 參數 (alpha 越大, 容錯範圍大)
hv_alpha = 0.9;
hv_R17_low = 10;
hv_R17_high = 60;
ho_R17_Edges.Dispose();
HOperatorSet.EdgesSubPix(ho_R17_ImageReduced, out ho_R17_Edges, "sobel_fast",
hv_alpha, hv_R17_low, hv_R17_high);
//stop ()
//*所有的數值越小，表示容錯範圍大，反之亦然
ho_R17_ContoursSplit.Dispose();
HOperatorSet.SegmentContoursXld(ho_R17_Edges, out ho_R17_ContoursSplit, "lines_circles",
17, 1, 1);
//Display the results
//===========================================================
HOperatorSet.CountObj(ho_R17_ContoursSplit, out hv_R17_NumSegments);
hv_NumCircles = 0;
hv_Num_Circle_Point = 0;
hv_R17 = 999;
for (hv_i = 1; hv_i.Continue(hv_R17_NumSegments, 1); hv_i = hv_i.TupleAdd(1))
{
ho_R17_SingleSegment.Dispose();
HOperatorSet.SelectObj(ho_R17_ContoursSplit, out ho_R17_SingleSegment, hv_i);
HOperatorSet.GetContourGlobalAttribXld(ho_R17_SingleSegment, "cont_approx",
out hv_Attrib);
if ((int)(new HTuple(hv_Attrib.TupleEqual(1))) != 0)
{
HOperatorSet.FitCircleContourXld(ho_R17_SingleSegment, "atukey", -1, 2,
hv_Num_Circle_Point, 5, 2, out hv_R17_Row, out hv_R17_Column, out hv_R17_Radius,
out hv_R17_StartPhi, out hv_R17_EndPhi, out hv_R17_PointOrder);
ho_R17_ContEllipse.Dispose();
HOperatorSet.GenEllipseContourXld(out ho_R17_ContEllipse, hv_R17_Row, hv_R17_Column,
0, hv_R17_Radius, hv_R17_Radius, 0, (new HTuple(360)).TupleRad(), "positive",
1.0);
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_R17_ContEllipse, HDevWindowStack.GetActive());
}
HOperatorSet.DistEllipseContourXld(ho_R17_SingleSegment, "algebraic", -1,
0, hv_R17_Row, hv_R17_Column, 0, hv_R17_Radius, hv_R17_Radius, out hv_R17_MinDist,
out hv_R17_MaxDist, out hv_R17_AvgDist, out hv_R17_SigmaDist);
hv_NumCircles = hv_NumCircles + 1;
if ((int)(new HTuple(hv_R17.TupleGreater(hv_R17_Radius))) != 0)
{
hv_R17 = hv_R17_Radius.Clone();
mResult = new CircleResult()
{
Row = new HTuple(hv_R17_Row),
Col = new HTuple(hv_R17_Column),
Radius = new HTuple(hv_R17_Radius),
StartPhi = new HTuple(hv_R17_StartPhi),
EndPhi = new HTuple(hv_R17_EndPhi),
PointOrder = new HTuple(hv_R17_PointOrder),
};
}
//stop ()
}
}
ho_R17_Circle.Dispose();
ho_R17_ROI_Image.Dispose();
ho_R17_Region.Dispose();
ho_R17_ImageReduced.Dispose();
ho_R17_Edges.Dispose();
ho_R17_ContoursSplit.Dispose();
ho_R17_SingleSegment.Dispose();
ho_R17_ContEllipse.Dispose();
return(mResult);
}
/// <summary>
/// 传入原图 传出分离通道后concat一起的图
/// </summary>
/// <param name="ho_i_Image"></param>
/// <param name="ho_o_Image"></param>
/// <returns></returns>
public static HObject Separat_Image(HObject ho_i_Image, out HObject ho_o_Image)
{
HObject ho_ObjectSelected = null, ho_Image1 = null;
HObject ho_Image2 = null, ho_Image3 = null, ho_ObjectsConcat = null;
// Local control variables
HTuple hv_Number = null, hv_Index = null, hv_Channels = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_o_Image);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected);
HOperatorSet.GenEmptyObj(out ho_Image1);
HOperatorSet.GenEmptyObj(out ho_Image2);
HOperatorSet.GenEmptyObj(out ho_Image3);
HOperatorSet.GenEmptyObj(out ho_ObjectsConcat);
HOperatorSet.CountObj(ho_i_Image, out hv_Number);
ho_o_Image.Dispose();
HOperatorSet.GenEmptyObj(out ho_o_Image);
HTuple end_val3 = hv_Number;
HTuple step_val3 = 1;
for (hv_Index = 1; hv_Index.Continue(end_val3, step_val3); hv_Index = hv_Index.TupleAdd(step_val3))
{
ho_ObjectSelected.Dispose();
HOperatorSet.SelectObj(ho_i_Image, out ho_ObjectSelected, hv_Index);
HOperatorSet.CountChannels(ho_ObjectSelected, out hv_Channels);
if ((int)(new HTuple(hv_Channels.TupleEqual(3))) != 0)
{
ho_Image1.Dispose(); ho_Image2.Dispose(); ho_Image3.Dispose();
HOperatorSet.Decompose3(ho_ObjectSelected, out ho_Image1, out ho_Image2,
out ho_Image3);
ho_ObjectsConcat.Dispose();
HOperatorSet.ConcatObj(ho_Image1, ho_Image2, out ho_ObjectsConcat);
{
HObject ExpTmpOutVar_0;
HOperatorSet.ConcatObj(ho_ObjectsConcat, ho_Image3, out ExpTmpOutVar_0);
ho_ObjectsConcat.Dispose();
ho_ObjectsConcat = ExpTmpOutVar_0;
}
}
else
{
ho_ObjectsConcat.Dispose();
ho_ObjectsConcat = ho_ObjectSelected.CopyObj(1, -1);
}
{
HObject ExpTmpOutVar_0;
HOperatorSet.ConcatObj(ho_o_Image, ho_ObjectsConcat, out ExpTmpOutVar_0);
ho_o_Image.Dispose();
ho_o_Image = ExpTmpOutVar_0;
}
}
ho_ObjectSelected.Dispose();
ho_Image1.Dispose();
ho_Image2.Dispose();
ho_Image3.Dispose();
ho_ObjectsConcat.Dispose();
return(ho_o_Image);
}
// Main procedure
private void RunPick(bool leftpallet, bool lastlayer)
{
// Stack for temporary objects
HObject[] OTemp = new HObject[20];
// Local iconic variables
HObject ho_Image, ho_ImageRectified = null, ho_FOV;
HObject ho_Box, ho_ImageReduced, ho_Objects, ho_Cross = null;
HObject ho_GripPoint = null, ho_ImageReducedGripPoint = null;
HObject ho_ImageMedian = null, ho_ObjectGripPoint = null, ho_Cross1 = null;
HObject ho_Arrow = null, ho_Cross2 = null, ho_ContCircle;
// Local control variables
HTuple hv_AcqHandle = null, hv_pi = null, hv_angle = null;
HTuple hv_CamParam = null, hv_CamPose = null, hv_GMMHandle = null;
HTuple hv_Width = null, hv_Height = null, hv_CamParamOut = null;
HTuple hv_Classes1 = null, hv_Row1 = null, hv_Column1 = null;
HTuple hv_Row2 = null, hv_Column2 = null, hv_Diameter = null;
HTuple hv_Area1 = null, hv_Row3 = null, hv_Column3 = null;
HTuple hv_len_area = null, hv_MAX = new HTuple(), hv_index = new HTuple();
HTuple hv_out = new HTuple(), hv_Length = new HTuple();
HTuple hv_i = new HTuple(), hv_INDEX = new HTuple(), hv_j = new HTuple();
HTuple hv_pom = new HTuple(), hv_DevDia = new HTuple();
HTuple hv_joint = new HTuple(), hv_x_ = new HTuple(), hv_y_ = new HTuple();
HTuple hv_w_ = new HTuple(), hv_a = new HTuple(), hv_b = new HTuple();
HTuple hv_k = new HTuple(), hv_x_cross = new HTuple();
HTuple hv_y_cross = new HTuple(), hv_WorldPose = new HTuple();
HTuple hv_HomMat3D = new HTuple(), hv_HomMat3DRotate = new HTuple();
HTuple hv_Area2 = new HTuple();
HTuple hv_Row5 = new HTuple(), hv_Column5 = new HTuple();
HTuple hv_SumX = new HTuple(), hv_SumY = new HTuple();
HTuple hv_GripPointX = new HTuple(), hv_GripPointY = new HTuple();
HTuple hv_maxdist = new HTuple(), hv_distgrippoints = new HTuple();
HTuple hv_indexgrip = new HTuple(), hv_distgrip = new HTuple();
HTuple hv_OrientX = new HTuple(), hv_OrientY = new HTuple();
HTuple hv_maxX = new HTuple(), hv_diff01 = new HTuple();
HTuple hv_diff02 = new HTuple(), hv_diff12 = new HTuple();
HTuple hv_mindiff = new HTuple(), hv_GX = new HTuple();
HTuple hv_GY = new HTuple(), hv_OX = new HTuple(), hv_OY = new HTuple();
HTuple hv_DY = new HTuple(), hv_DX = new HTuple(), hv_theta = new HTuple();
HTuple hv_anglerad = new HTuple();
//
HTuple hv_Pixel1Y = new HTuple(), hv_Pixel2X = new HTuple(), hv_Pixel1X = new HTuple();
HTuple hv_Pixel2Y = new HTuple(), hv_distance = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Image);
HOperatorSet.GenEmptyObj(out ho_ImageRectified);
HOperatorSet.GenEmptyObj(out ho_FOV);
HOperatorSet.GenEmptyObj(out ho_Box);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Objects);
HOperatorSet.GenEmptyObj(out ho_Cross);
HOperatorSet.GenEmptyObj(out ho_GripPoint);
HOperatorSet.GenEmptyObj(out ho_ImageReducedGripPoint);
HOperatorSet.GenEmptyObj(out ho_ImageMedian);
HOperatorSet.GenEmptyObj(out ho_ObjectGripPoint);
HOperatorSet.GenEmptyObj(out ho_Cross1);
HOperatorSet.GenEmptyObj(out ho_Arrow);
HOperatorSet.GenEmptyObj(out ho_Cross2);
HOperatorSet.GenEmptyObj(out ho_ContCircle);
// Set Default Variables
hv_angledeg = 0;
// Wait for CAM4 thread to be closed
_waitHandleCam1.WaitOne();
// Close te thread DOOR
_waitHandleCam1.Reset();
//Image Acquisition
try
{
HOperatorSet.OpenFramegrabber("GigEVision", 0, 0, 0, 0, 0, 0, "default", -1, "default", -1, "false", "default", "RobotPick", 0, -1, out hv_AcqHandleCam1);
HOperatorSet.SetFramegrabberParam(hv_AcqHandleCam1, "ExposureAuto", "Continuous");
}
catch (HalconException exceptionCameraNotConnected)
{
}
// Constants
hv_pi = 3.14159265359;
hv_angle = (0 * hv_pi) / 180;
// Pallet calibration selection
if (leftpallet)
{
// Relative path to file
string IntrinsicsFileName = "CamParametersLeft.cal";
string IntrinsicsPath = Path.Combine(Environment.CurrentDirectory, @"CamPar", IntrinsicsFileName);
//
string ExtrinsicsFileName = "CamPoseLeft.dat";
string ExtrinsicsPath = Path.Combine(Environment.CurrentDirectory, @"CamPar", ExtrinsicsFileName);
HOperatorSet.ReadCamPar(IntrinsicsPath, out hv_CamParam);
HOperatorSet.ReadPose(ExtrinsicsPath, out hv_CamPose);
}
else
{
// Relative path to file
string IntrinsicsFileName = "CamParametersRight.cal";
string IntrinsicsPath = Path.Combine(Environment.CurrentDirectory, @"CamPar", IntrinsicsFileName);
//
string ExtrinsicsFileName = "CamPoseRight.dat";
string ExtrinsicsPath = Path.Combine(Environment.CurrentDirectory, @"CamPar", ExtrinsicsFileName);
HOperatorSet.ReadCamPar(IntrinsicsPath, out hv_CamParam);
HOperatorSet.ReadPose(ExtrinsicsPath, out hv_CamPose);
}
//
string TrainegGmmFileName = "traineg_gmm_pick_1.4.ggc";
string TrainegGmmPath = Path.Combine(Environment.CurrentDirectory, @"Train", TrainegGmmFileName);
// Camera intrinsics and extrinsics call
HOperatorSet.ReadClassGmm(TrainegGmmPath, out hv_GMMHandle);
// Grab operator
ho_Image.Dispose();
HOperatorSet.GrabImage(out ho_Image, hv_AcqHandleCam1);
HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
ho_FOV.Dispose();
HOperatorSet.GenRectangle1(out ho_FOV, 0, 0, hv_Height, hv_Width);
ho_Box.Dispose();
if (leftpallet)
{
HOperatorSet.GenRectangle1(out ho_Box, 190, 160, 870, 1130);
}
else
{
HOperatorSet.GenRectangle1(out ho_Box, 190, 160, 870, 1130);
}
HOperatorSet.ChangeRadialDistortionCamPar("adaptive", hv_CamParam, 0, out hv_CamParamOut);
ho_ImageRectified.Dispose();
HOperatorSet.ChangeRadialDistortionImage(ho_Image, ho_FOV, out ho_ImageRectified, hv_CamParam, hv_CamParamOut);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_ImageRectified, ho_Box, out ho_ImageReduced);
ho_ImageRectified.Dispose();
HOperatorSet.Illuminate(ho_ImageReduced, out ho_ImageRectified, 230, 230, 1.15);
ho_ImageMedian.Dispose();
HOperatorSet.MedianImage(ho_ImageRectified, out ho_ImageRectified, "circle", 3, "mirrored");
ho_ObjectGripPoint.Dispose();
//segmentacija i klasifikacija
ho_Objects.Dispose();
segment(ho_ImageRectified, out ho_Objects);
classify(ho_Objects, hv_GMMHandle, out hv_Classes1);
disp_obj_class(ho_Objects, hv_Classes1);
{
HObject ExpTmpOutVar_0;
HOperatorSet.Connection(ho_Objects, out ExpTmpOutVar_0);
ho_Objects.Dispose();
ho_Objects = ExpTmpOutVar_0;
}
//prefiltriranje klasificiranih predmeta
{
HObject ExpTmpOutVar_0;
HOperatorSet.SelectShape(ho_Objects, out ExpTmpOutVar_0, "circularity", "and", 0.5, 1.0);
ho_Objects.Dispose();
ho_Objects = ExpTmpOutVar_0;
}
{
HObject ExpTmpOutVar_0;
HOperatorSet.SelectShape(ho_Objects, out ExpTmpOutVar_0, "area", "and", 1000, 100000);
ho_Objects.Dispose();
ho_Objects = ExpTmpOutVar_0;
}
//** Carolija ***
HOperatorSet.DiameterRegion(ho_Objects, out hv_Row1, out hv_Column1, out hv_Row2, out hv_Column2, out hv_Diameter);
HOperatorSet.AreaCenter(ho_Objects, out hv_Area1, out hv_Row3, out hv_Column3);
HOperatorSet.TupleLength(hv_Area1, out hv_len_area);
//* If objects exist sort them and find their 2D position
if ((int)(new HTuple(hv_len_area.TupleGreater(0))) != 0)
{
hv_MAX = 0;
hv_index = 0;
hv_out = 0;
HOperatorSet.TupleLength(hv_Diameter, out hv_Length);
HOperatorSet.DispObj(ho_ImageRectified, hv_ExpDefaultWinHandle);
HOperatorSet.DispLine(hv_ExpDefaultWinHandle, hv_Height / 2, 0, hv_Height / 2, hv_Width);
HOperatorSet.DispLine(hv_ExpDefaultWinHandle, 0, hv_Width / 2, hv_Height, hv_Width / 2);
hv_i = 1;
HOperatorSet.TupleGenSequence(0, hv_Length - 1, 1, out hv_INDEX);
while ((int)(new HTuple(hv_i.TupleLess(hv_Length))) != 0)
{
hv_j = hv_i.Clone();
while ((int)(new HTuple(((hv_Diameter.TupleSelect(hv_j - 1))).TupleLess(hv_Diameter.TupleSelect(hv_j)))) != 0)
{
hv_pom = hv_Diameter.TupleSelect(hv_j);
if (hv_Diameter == null)
{
hv_Diameter = new HTuple();
}
hv_Diameter[hv_j] = hv_Diameter.TupleSelect(hv_j - 1);
if (hv_Diameter == null)
{
hv_Diameter = new HTuple();
}
hv_Diameter[hv_j - 1] = hv_pom;
hv_pom = hv_INDEX.TupleSelect(hv_j);
if (hv_INDEX == null)
{
hv_INDEX = new HTuple();
}
hv_INDEX[hv_j] = hv_INDEX.TupleSelect(hv_j - 1);
if (hv_INDEX == null)
{
hv_INDEX = new HTuple();
}
hv_INDEX[hv_j - 1] = hv_pom;
hv_j = hv_j - 1;
if ((int)(new HTuple(hv_j.TupleEqual(0))) != 0)
{
break;
}
}
hv_i = hv_i + 1;
}
HOperatorSet.TupleMedian(hv_Diameter, out hv_MAX);
HOperatorSet.TupleDeviation(hv_Diameter, out hv_DevDia);
HTuple end_val75 = hv_Length;
HTuple step_val75 = 1;
for (hv_i = 1; hv_i.Continue(end_val75, step_val75); hv_i = hv_i.TupleAdd(step_val75))
{
if ((int)((new HTuple(((hv_Diameter.TupleSelect(hv_i - 1))).TupleGreaterEqual(
hv_MAX - (5 * hv_DevDia)))).TupleAnd(new HTuple(((hv_Diameter.TupleSelect(
hv_i - 1))).TupleLessEqual(hv_MAX + (5 * hv_DevDia))))) != 0)
{
if ((int)(new HTuple(hv_MAX.TupleGreaterEqual(2 * 300))) != 0)
{
hv_joint = 1;
}
hv_index = hv_index + 1;
}
}
//* w_ => weight factor for L1 norm **
//* row component weighting a => sort by column **
//* column component weighting b => sort by row **
hv_x_ = new HTuple();
hv_y_ = new HTuple();
hv_w_ = new HTuple();
hv_a = 0.2;
hv_b = 1.0;
HTuple end_val93 = hv_index;
HTuple step_val93 = 1;
for (hv_k = 1; hv_k.Continue(end_val93, step_val93); hv_k = hv_k.TupleAdd(step_val93))
{
if (hv_x_ == null)
{
hv_x_ = new HTuple();
}
hv_x_[hv_k - 1] = hv_Row3.TupleSelect(hv_k - 1);
if (hv_y_ == null)
{
hv_y_ = new HTuple();
}
hv_y_[hv_k - 1] = hv_Column3.TupleSelect(hv_k - 1);
if (hv_w_ == null)
{
hv_w_ = new HTuple();
}
hv_w_[hv_k - 1] = ((hv_x_.TupleSelect(hv_k - 1)) * hv_a) + ((hv_y_.TupleSelect(hv_k - 1)) * hv_b);
}
//* Sort objects by cost value **
hv_i = 1;
while ((int)(new HTuple(hv_i.TupleLess(hv_index))) != 0)
{
hv_j = hv_i.Clone();
while ((int)(new HTuple(((hv_w_.TupleSelect(hv_j - 1))).TupleGreater(hv_w_.TupleSelect(hv_j)))) != 0)
{
hv_pom = hv_x_.TupleSelect(hv_j);
if (hv_x_ == null)
{
hv_x_ = new HTuple();
}
hv_x_[hv_j] = hv_x_.TupleSelect(hv_j - 1);
if (hv_x_ == null)
{
hv_x_ = new HTuple();
}
hv_x_[hv_j - 1] = hv_pom;
hv_pom = hv_y_.TupleSelect(hv_j);
if (hv_y_ == null)
{
hv_y_ = new HTuple();
}
hv_y_[hv_j] = hv_y_.TupleSelect(hv_j - 1);
if (hv_y_ == null)
{
hv_y_ = new HTuple();
}
hv_y_[hv_j - 1] = hv_pom;
hv_pom = hv_w_.TupleSelect(hv_j);
if (hv_w_ == null)
{
hv_w_ = new HTuple();
}
hv_w_[hv_j] = hv_w_.TupleSelect(hv_j - 1);
if (hv_w_ == null)
{
hv_w_ = new HTuple();
}
hv_w_[hv_j - 1] = hv_pom;
hv_j = hv_j - 1;
if ((int)(new HTuple(hv_j.TupleEqual(0))) != 0)
{
break;
}
}
hv_i = hv_i + 1;
}
//* Display detected objects **
HTuple end_val124 = hv_index;
HTuple step_val124 = 1;
for (hv_k = 1; hv_k.Continue(end_val124, step_val124); hv_k = hv_k.TupleAdd(step_val124))
{
hv_x_cross = hv_x_.TupleSelect(hv_k - 1);
hv_y_cross = hv_y_.TupleSelect(hv_k - 1);
HOperatorSet.SetColor(hv_ExpDefaultWinHandle, "green");
ho_Cross.Dispose();
HOperatorSet.GenCrossContourXld(out ho_Cross, hv_x_cross, hv_y_cross, 200, 0);
HOperatorSet.DispObj(ho_Cross, hv_ExpDefaultWinHandle);
HOperatorSet.SetColor(hv_ExpDefaultWinHandle, "red");
HOperatorSet.SetTposition(hv_ExpDefaultWinHandle, hv_x_cross, hv_y_cross);
HOperatorSet.WriteString(hv_ExpDefaultWinHandle, hv_k);
}
HOperatorSet.SetOriginPose(hv_CamPose, 0, 0, 0.00, out hv_WorldPose);
HOperatorSet.PoseToHomMat3d(hv_WorldPose, out hv_HomMat3D);
HOperatorSet.HomMat3dRotateLocal(hv_HomMat3D, hv_angle, "z", out hv_HomMat3DRotate);
HOperatorSet.HomMat3dToPose(hv_HomMat3DRotate, out hv_WorldPose);
HOperatorSet.ImagePointsToWorldPlane(hv_CamParamOut, hv_WorldPose, hv_x_.TupleSelect(0), hv_y_.TupleSelect(0), "mm", out hv_X, out hv_Y);
// Diameter check // Still not working
//HOperatorSet.ImagePointsToWorldPlane(hv_CamParamOut, hv_WorldPose, hv_Row1, hv_Column1, "mm", out hv_Pixel1X, out hv_Pixel1Y);
//HOperatorSet.ImagePointsToWorldPlane(hv_CamParamOut, hv_WorldPose, hv_Row2, hv_Column2, "mm", out hv_Pixel2X, out hv_Pixel2Y);
//HOperatorSet.DistancePp(hv_Pixel1X, hv_Pixel1Y, hv_Pixel2X, hv_Pixel2Y, out hv_distance);
//HOperatorSet.TupleMean(hv_distance, out hv_distance_mean);
HOperatorSet.SetTposition(hv_ExpDefaultWinHandle, 100, 100);
HOperatorSet.WriteString(hv_ExpDefaultWinHandle, hv_a);
HOperatorSet.WriteString(hv_ExpDefaultWinHandle, ", ");
HOperatorSet.WriteString(hv_ExpDefaultWinHandle, hv_b);
HOperatorSet.SetTposition(hv_ExpDefaultWinHandle, 20, 20);
HOperatorSet.WriteString(hv_ExpDefaultWinHandle, hv_Length);
}
//* If objects not found check for layer holes
else if ((int)(new HTuple(hv_len_area.TupleGreater(0))) == 0 && lastlayer)
{
hv_X = 0;
hv_Y = 0;
hv_angledeg = 0;
HOperatorSet.ClearWindow(hv_ExpDefaultWinHandle);
HOperatorSet.DispObj(ho_ImageReduced, hv_ExpDefaultWinHandle);
HOperatorSet.SetColor(hv_ExpDefaultWinHandle, "red");
HOperatorSet.SetTposition(hv_ExpDefaultWinHandle, 120, 450);
HOperatorSet.WriteString(hv_ExpDefaultWinHandle, "NA ZADNJEM SLOJU NISU PRONADENI KOMADI! ROBOT IDE NA IDUCU ULAZNU PALETU");
App.PaletaPrazna();
}
else
{
try
{
ho_GripPoint.Dispose();
HOperatorSet.GenRectangle1(out ho_GripPoint, 420, 520, 620, 770);
ho_ImageReducedGripPoint.Dispose();
HOperatorSet.ReduceDomain(ho_ImageRectified, ho_GripPoint, out ho_ImageReducedGripPoint);
ho_ImageMedian.Dispose();
HOperatorSet.MedianImage(ho_ImageReducedGripPoint, out ho_ImageMedian, "circle", 3, "mirrored");
ho_ObjectGripPoint.Dispose();
segment(ho_ImageMedian, out ho_ObjectGripPoint);
{
HObject ExpTmpOutVar_0;
HOperatorSet.Connection(ho_ObjectGripPoint, out ExpTmpOutVar_0);
ho_ObjectGripPoint.Dispose();
ho_ObjectGripPoint = ExpTmpOutVar_0;
}
{
HObject ExpTmpOutVar_0;
HOperatorSet.SelectShape(ho_ObjectGripPoint, out ExpTmpOutVar_0, "circularity", "and", 0.5,
1.0);
ho_ObjectGripPoint.Dispose();
ho_ObjectGripPoint = ExpTmpOutVar_0;
}
{
HObject ExpTmpOutVar_0;
HOperatorSet.SelectShape(ho_ObjectGripPoint, out ExpTmpOutVar_0, "area", "and", 100, 1000);
ho_ObjectGripPoint.Dispose();
ho_ObjectGripPoint = ExpTmpOutVar_0;
}
HOperatorSet.AreaCenter(ho_ObjectGripPoint, out hv_Area2, out hv_Row5, out hv_Column5);
HOperatorSet.TupleSum(hv_Row5, out hv_SumX);
HOperatorSet.TupleSum(hv_Column5, out hv_SumY);
hv_GripPointX = hv_SumX / 9;
hv_GripPointY = hv_SumY / 9;
ho_Cross1.Dispose();
HOperatorSet.GenCrossContourXld(out ho_Cross1, hv_GripPointX, hv_GripPointY, 10, 0);
hv_maxdist = 0;
hv_distgrippoints = new HTuple();
hv_indexgrip = 0;
for (hv_i = 1; (int)hv_i <= 9; hv_i = (int)hv_i + 1)
{
HOperatorSet.DistancePp(hv_Row5.TupleSelect(hv_i - 1), hv_Column5.TupleSelect(hv_i - 1),
hv_GripPointX, hv_GripPointY, out hv_distgrip);
HOperatorSet.TupleConcat(hv_distgrippoints, hv_distgrip, out hv_distgrippoints);
if ((int)(new HTuple(hv_distgrip.TupleGreater(hv_maxdist))) != 0)
{
hv_indexgrip = hv_i - 1;
hv_maxdist = hv_distgrip.Clone();
}
}
hv_indexgrip = new HTuple();
for (hv_i = 1; (int)hv_i <= 9; hv_i = (int)hv_i + 1)
{
if ((int)(new HTuple(
((hv_distgrippoints.TupleSelect(hv_i - 1))).TupleGreater(0.9 * hv_maxdist))) != 0)
{
HOperatorSet.TupleConcat(hv_indexgrip, hv_i - 1, out hv_indexgrip);
}
}
hv_OrientX = 0;
hv_OrientY = 0;
hv_maxX = 0;
HOperatorSet.TupleAbs(
(hv_Row5.TupleSelect(hv_indexgrip.TupleSelect(0))) -
(hv_Row5.TupleSelect(hv_indexgrip.TupleSelect(1))), out hv_diff01);
HOperatorSet.TupleAbs(
(hv_Row5.TupleSelect(hv_indexgrip.TupleSelect(0))) -
(hv_Row5.TupleSelect(hv_indexgrip.TupleSelect(2))), out hv_diff02);
HOperatorSet.TupleAbs(
(hv_Row5.TupleSelect(hv_indexgrip.TupleSelect(1))) -
(hv_Row5.TupleSelect(hv_indexgrip.TupleSelect(2))), out hv_diff12);
HOperatorSet.TupleMin(((hv_diff01.TupleConcat(hv_diff02))).TupleConcat(hv_diff12), out hv_mindiff);
if ((int)(new HTuple(hv_mindiff.TupleEqual(hv_diff01))) != 0)
{
hv_OrientX = hv_Row5.TupleSelect(hv_indexgrip.TupleSelect(2));
hv_OrientY = hv_Column5.TupleSelect(hv_indexgrip.TupleSelect(2));
}
else if ((int)(new HTuple(hv_mindiff.TupleEqual(hv_diff02))) != 0)
{
hv_OrientX = hv_Row5.TupleSelect(hv_indexgrip.TupleSelect(1));
hv_OrientY = hv_Column5.TupleSelect(hv_indexgrip.TupleSelect(1));
}
else if ((int)(new HTuple(hv_mindiff.TupleEqual(hv_diff12))) != 0)
{
hv_OrientX = hv_Row5.TupleSelect(hv_indexgrip.TupleSelect(0));
hv_OrientY = hv_Column5.TupleSelect(hv_indexgrip.TupleSelect(0));
}
HOperatorSet.DispObj(ho_ImageReduced, hv_ExpDefaultWinHandle);
HOperatorSet.SetColor(hv_ExpDefaultWinHandle, "red");
ho_Arrow.Dispose();
gen_arrow_contour_xld(out ho_Arrow, hv_GripPointX, hv_GripPointY, hv_OrientX, hv_OrientY, 15, 15);
HOperatorSet.DispObj(ho_Arrow, hv_ExpDefaultWinHandle);
HOperatorSet.SetColor(hv_ExpDefaultWinHandle, "green");
ho_Cross2.Dispose();
HOperatorSet.GenCrossContourXld(out ho_Cross2, hv_GripPointX, hv_GripPointY, 30, 0);
//HOperatorSet.DispObj(ho_Cross2, hv_ExpDefaultWinHandle);
HOperatorSet.SetOriginPose(hv_CamPose, 0, 0, 0.00, out hv_WorldPose);
HOperatorSet.ImagePointsToWorldPlane(hv_CamParamOut, hv_WorldPose, hv_GripPointX, hv_GripPointY, "mm", out hv_GX, out hv_GY);
HOperatorSet.ImagePointsToWorldPlane(hv_CamParamOut, hv_WorldPose, hv_OrientX, hv_OrientY, "mm", out hv_OX, out hv_OY);
hv_DY = hv_OY - hv_GY;
hv_DX = hv_OX - hv_GX;
HOperatorSet.TupleAtan2(hv_DY, hv_DX, out hv_theta);
hv_theta = hv_theta.Clone();
hv_X = hv_GX;
hv_Y = hv_GY;
hv_angledeg = (hv_theta * 180) / hv_pi;
}
catch (HalconException exceptionLayerNotFound)
{
hv_X = 0;
hv_Y = 0;
hv_angledeg = 0;
HOperatorSet.ClearWindow(hv_ExpDefaultWinHandle);
HOperatorSet.DispObj(ho_ImageReduced, hv_ExpDefaultWinHandle);
HOperatorSet.SetColor(hv_ExpDefaultWinHandle, "red");
HOperatorSet.SetTposition(hv_ExpDefaultWinHandle, 120, 512);
HOperatorSet.WriteString(hv_ExpDefaultWinHandle, "NA PALETI NISU PRONADENI KOMADI NI SLOJEVI!!!");
App.LayerNijePronaden();
}
}
// HOperatorSet.ClearWindow(hv_ExpDefaultWinHandle);
HOperatorSet.SetColor(hv_ExpDefaultWinHandle, "red");
ho_ContCircle.Dispose();
HOperatorSet.GenCircleContourXld(out ho_ContCircle, hv_Height / 2, hv_Width / 2, 100, 0, 6.28318, "positive", 10);
ho_Image.Dispose();
ho_ImageRectified.Dispose();
ho_FOV.Dispose();
ho_Box.Dispose();
ho_ImageReduced.Dispose();
ho_Objects.Dispose();
ho_Cross.Dispose();
ho_GripPoint.Dispose();
ho_ImageReducedGripPoint.Dispose();
ho_ImageMedian.Dispose();
ho_ObjectGripPoint.Dispose();
ho_Cross1.Dispose();
ho_Arrow.Dispose();
ho_Cross2.Dispose();
ho_ContCircle.Dispose();
HOperatorSet.CloseFramegrabber(hv_AcqHandleCam1);
// Open the thread DOOR
_waitHandleCam1.Set();
}
// Chapter: Graphics / Text
// Short Description: This procedure writes a text message.
public void disp_message(HTuple hv_WindowHandle, HTuple hv_String, HTuple hv_CoordSystem,
HTuple hv_Row, HTuple hv_Column, HTuple hv_Color, HTuple hv_Box)
{
// Local iconic variables
// Local control variables
HTuple hv_M = null, hv_N = null, hv_Red = null;
HTuple hv_Green = null, hv_Blue = null, hv_RowI1Part = null;
HTuple hv_ColumnI1Part = null, hv_RowI2Part = null, hv_ColumnI2Part = null;
HTuple hv_RowIWin = null, hv_ColumnIWin = null, hv_WidthWin = null;
HTuple hv_HeightWin = null, hv_I = null, hv_RowI = new HTuple();
HTuple hv_ColumnI = new HTuple(), hv_StringI = new HTuple();
HTuple hv_MaxAscent = new HTuple(), hv_MaxDescent = new HTuple();
HTuple hv_MaxWidth = new HTuple(), hv_MaxHeight = new HTuple();
HTuple hv_R1 = new HTuple(), hv_C1 = new HTuple(), hv_FactorRowI = new HTuple();
HTuple hv_FactorColumnI = new HTuple(), hv_UseShadow = new HTuple();
HTuple hv_ShadowColor = new HTuple(), hv_Exception = new HTuple();
HTuple hv_Width = new HTuple(), hv_Index = new HTuple();
HTuple hv_Ascent = new HTuple(), hv_Descent = new HTuple();
HTuple hv_W = new HTuple(), hv_H = new HTuple(), hv_FrameHeight = new HTuple();
HTuple hv_FrameWidth = new HTuple(), hv_R2 = new HTuple();
HTuple hv_C2 = new HTuple(), hv_DrawMode = new HTuple();
HTuple hv_CurrentColor = new HTuple();
HTuple hv_Box_COPY_INP_TMP = hv_Box.Clone();
HTuple hv_Color_COPY_INP_TMP = hv_Color.Clone();
HTuple hv_Column_COPY_INP_TMP = hv_Column.Clone();
HTuple hv_Row_COPY_INP_TMP = hv_Row.Clone();
HTuple hv_String_COPY_INP_TMP = hv_String.Clone();
// Initialize local and output iconic variables
//This procedure displays text in a graphics window.
//
//Input parameters:
//WindowHandle: The WindowHandle of the graphics window, where
// the message should be displayed
//String: A tuple of strings containing the text message to be displayed
//CoordSystem: If set to 'window', the text position is given
// with respect to the window coordinate system.
// If set to 'image', image coordinates are used.
// (This may be useful in zoomed images.)
//Row: The row coordinate of the desired text position
// If set to -1, a default value of 12 is used.
// A tuple of values is allowed to display text at different
// positions.
//Column: The column coordinate of the desired text position
// If set to -1, a default value of 12 is used.
// A tuple of values is allowed to display text at different
// positions.
//Color: defines the color of the text as string.
// If set to [], '' or 'auto' the currently set color is used.
// If a tuple of strings is passed, the colors are used cyclically...
// - if |Row| == |Column| == 1: for each new textline
// = else for each text position.
//Box: If Box[0] is set to 'true', the text is written within an orange box.
// If set to' false', no box is displayed.
// If set to a color string (e.g. 'white', '#FF00CC', etc.),
// the text is written in a box of that color.
// An optional second value for Box (Box[1]) controls if a shadow is displayed:
// 'true' -> display a shadow in a default color
// 'false' -> display no shadow
// otherwise -> use given string as color string for the shadow color
//
//It is possible to display multiple text strings in a single call.
//In this case, some restrictions apply:
//- Multiple text positions can be defined by specifying a tuple
// with multiple Row and/or Column coordinates, i.e.:
// - |Row| == n, |Column| == n
// - |Row| == n, |Column| == 1
// - |Row| == 1, |Column| == n
//- If |Row| == |Column| == 1,
// each element of String is display in a new textline.
//- If multiple positions or specified, the number of Strings
// must match the number of positions, i.e.:
// - Either |String| == n (each string is displayed at the
// corresponding position),
// - or |String| == 1 (The string is displayed n times).
//
if ((int)(new HTuple(hv_Color_COPY_INP_TMP.TupleEqual(new HTuple()))) != 0)
{
hv_Color_COPY_INP_TMP = "";
}
if ((int)(new HTuple(hv_Box_COPY_INP_TMP.TupleEqual(new HTuple()))) != 0)
{
hv_Box_COPY_INP_TMP = "false";
}
//
//
//Check conditions
//
hv_M = (new HTuple(hv_Row_COPY_INP_TMP.TupleLength())) * (new HTuple(hv_Column_COPY_INP_TMP.TupleLength()
));
hv_N = new HTuple(hv_Row_COPY_INP_TMP.TupleLength());
if ((int)((new HTuple(hv_M.TupleEqual(0))).TupleOr(new HTuple(hv_String_COPY_INP_TMP.TupleEqual(
new HTuple())))) != 0)
{
return;
}
if ((int)(new HTuple(hv_M.TupleNotEqual(1))) != 0)
{
//Multiple positions
//
//Expand single parameters
if ((int)(new HTuple((new HTuple(hv_Row_COPY_INP_TMP.TupleLength())).TupleEqual(
1))) != 0)
{
hv_N = new HTuple(hv_Column_COPY_INP_TMP.TupleLength());
HOperatorSet.TupleGenConst(hv_N, hv_Row_COPY_INP_TMP, out hv_Row_COPY_INP_TMP);
}
else if ((int)(new HTuple((new HTuple(hv_Column_COPY_INP_TMP.TupleLength()
)).TupleEqual(1))) != 0)
{
HOperatorSet.TupleGenConst(hv_N, hv_Column_COPY_INP_TMP, out hv_Column_COPY_INP_TMP);
}
else if ((int)(new HTuple((new HTuple(hv_Column_COPY_INP_TMP.TupleLength()
)).TupleNotEqual(new HTuple(hv_Row_COPY_INP_TMP.TupleLength())))) != 0)
{
throw new HalconException("Number of elements in Row and Column does not match.");
}
if ((int)(new HTuple((new HTuple(hv_String_COPY_INP_TMP.TupleLength())).TupleEqual(
1))) != 0)
{
HOperatorSet.TupleGenConst(hv_N, hv_String_COPY_INP_TMP, out hv_String_COPY_INP_TMP);
}
else if ((int)(new HTuple((new HTuple(hv_String_COPY_INP_TMP.TupleLength()
)).TupleNotEqual(hv_N))) != 0)
{
throw new HalconException("Number of elements in Strings does not match number of positions.");
}
//
}
//
//Prepare window
HOperatorSet.GetRgb(hv_WindowHandle, out hv_Red, out hv_Green, out hv_Blue);
HOperatorSet.GetPart(hv_WindowHandle, out hv_RowI1Part, out hv_ColumnI1Part,
out hv_RowI2Part, out hv_ColumnI2Part);
HOperatorSet.GetWindowExtents(hv_WindowHandle, out hv_RowIWin, out hv_ColumnIWin,
out hv_WidthWin, out hv_HeightWin);
HOperatorSet.SetPart(hv_WindowHandle, 0, 0, hv_HeightWin - 1, hv_WidthWin - 1);
//
//Loop over all positions
HTuple end_val89 = hv_N - 1;
HTuple step_val89 = 1;
for (hv_I = 0; hv_I.Continue(end_val89, step_val89); hv_I = hv_I.TupleAdd(step_val89))
{
hv_RowI = hv_Row_COPY_INP_TMP.TupleSelect(hv_I);
hv_ColumnI = hv_Column_COPY_INP_TMP.TupleSelect(hv_I);
//Allow multiple strings for a single position.
if ((int)(new HTuple(hv_N.TupleEqual(1))) != 0)
{
hv_StringI = hv_String_COPY_INP_TMP.Clone();
}
else
{
//In case of multiple positions, only single strings
//are allowed per position.
//For line breaks, use \n in this case.
hv_StringI = hv_String_COPY_INP_TMP.TupleSelect(hv_I);
}
//Default settings
//-1 is mapped to 12.
if ((int)(new HTuple(hv_RowI.TupleEqual(-1))) != 0)
{
hv_RowI = 12;
}
if ((int)(new HTuple(hv_ColumnI.TupleEqual(-1))) != 0)
{
hv_ColumnI = 12;
}
//
//Split string into one string per line.
hv_StringI = ((("" + hv_StringI) + "")).TupleSplit("\n");
//
//Estimate extentions of text depending on font size.
HOperatorSet.GetFontExtents(hv_WindowHandle, out hv_MaxAscent, out hv_MaxDescent,
out hv_MaxWidth, out hv_MaxHeight);
if ((int)(new HTuple(hv_CoordSystem.TupleEqual("window"))) != 0)
{
hv_R1 = hv_RowI.Clone();
hv_C1 = hv_ColumnI.Clone();
}
else
{
//Transform image to window coordinates.
hv_FactorRowI = (1.0 * hv_HeightWin) / ((hv_RowI2Part - hv_RowI1Part) + 1);
hv_FactorColumnI = (1.0 * hv_WidthWin) / ((hv_ColumnI2Part - hv_ColumnI1Part) + 1);
hv_R1 = (((hv_RowI - hv_RowI1Part) + 0.5) * hv_FactorRowI) - 0.5;
hv_C1 = (((hv_ColumnI - hv_ColumnI1Part) + 0.5) * hv_FactorColumnI) - 0.5;
}
//
//Display text box depending on text size.
hv_UseShadow = 1;
hv_ShadowColor = "gray";
if ((int)(new HTuple(((hv_Box_COPY_INP_TMP.TupleSelect(0))).TupleEqual("true"))) != 0)
{
if (hv_Box_COPY_INP_TMP == null)
{
hv_Box_COPY_INP_TMP = new HTuple();
}
hv_Box_COPY_INP_TMP[0] = "#fce9d4";
hv_ShadowColor = "#f28d26";
}
if ((int)(new HTuple((new HTuple(hv_Box_COPY_INP_TMP.TupleLength())).TupleGreater(
1))) != 0)
{
if ((int)(new HTuple(((hv_Box_COPY_INP_TMP.TupleSelect(1))).TupleEqual("true"))) != 0)
{
//Use default ShadowColor set above
}
else if ((int)(new HTuple(((hv_Box_COPY_INP_TMP.TupleSelect(1))).TupleEqual(
"false"))) != 0)
{
hv_UseShadow = 0;
}
else
{
hv_ShadowColor = hv_Box_COPY_INP_TMP.TupleSelect(1);
//Valid color?
try
{
HOperatorSet.SetColor(hv_WindowHandle, hv_Box_COPY_INP_TMP.TupleSelect(
1));
}
// catch (Exception)
catch (HalconException HDevExpDefaultException1)
{
HDevExpDefaultException1.ToHTuple(out hv_Exception);
hv_Exception = new HTuple("Wrong value of control parameter Box[1] (must be a 'true', 'false', or a valid color string)");
throw new HalconException(hv_Exception);
}
}
}
if ((int)(new HTuple(((hv_Box_COPY_INP_TMP.TupleSelect(0))).TupleNotEqual("false"))) != 0)
{
//Valid color?
try
{
HOperatorSet.SetColor(hv_WindowHandle, hv_Box_COPY_INP_TMP.TupleSelect(
0));
}
// catch (Exception)
catch (HalconException HDevExpDefaultException1)
{
HDevExpDefaultException1.ToHTuple(out hv_Exception);
hv_Exception = new HTuple("Wrong value of control parameter Box[0] (must be a 'true', 'false', or a valid color string)");
throw new HalconException(hv_Exception);
}
//Calculate box extents
hv_StringI = (" " + hv_StringI) + " ";
hv_Width = new HTuple();
for (hv_Index = 0; (int)hv_Index <= (int)((new HTuple(hv_StringI.TupleLength()
)) - 1); hv_Index = (int)hv_Index + 1)
{
HOperatorSet.GetStringExtents(hv_WindowHandle, hv_StringI.TupleSelect(hv_Index),
out hv_Ascent, out hv_Descent, out hv_W, out hv_H);
hv_Width = hv_Width.TupleConcat(hv_W);
}
hv_FrameHeight = hv_MaxHeight * (new HTuple(hv_StringI.TupleLength()));
hv_FrameWidth = (((new HTuple(0)).TupleConcat(hv_Width))).TupleMax();
hv_R2 = hv_R1 + hv_FrameHeight;
hv_C2 = hv_C1 + hv_FrameWidth;
//Display rectangles
HOperatorSet.GetDraw(hv_WindowHandle, out hv_DrawMode);
HOperatorSet.SetDraw(hv_WindowHandle, "fill");
//Set shadow color
HOperatorSet.SetColor(hv_WindowHandle, hv_ShadowColor);
if ((int)(hv_UseShadow) != 0)
{
HOperatorSet.DispRectangle1(hv_WindowHandle, hv_R1 + 1, hv_C1 + 1, hv_R2 + 1,
hv_C2 + 1);
}
//Set box color
HOperatorSet.SetColor(hv_WindowHandle, hv_Box_COPY_INP_TMP.TupleSelect(0));
HOperatorSet.DispRectangle1(hv_WindowHandle, hv_R1, hv_C1, hv_R2, hv_C2);
HOperatorSet.SetDraw(hv_WindowHandle, hv_DrawMode);
}
//Write text.
for (hv_Index = 0; (int)hv_Index <= (int)((new HTuple(hv_StringI.TupleLength())) - 1); hv_Index = (int)hv_Index + 1)
{
//Set color
if ((int)(new HTuple(hv_N.TupleEqual(1))) != 0)
{
//Wiht a single text position, each text line
//may get a different color.
hv_CurrentColor = hv_Color_COPY_INP_TMP.TupleSelect(hv_Index % (new HTuple(hv_Color_COPY_INP_TMP.TupleLength()
)));
}
else
{
//With multiple text positions, each position
//gets a single color for all text lines.
hv_CurrentColor = hv_Color_COPY_INP_TMP.TupleSelect(hv_I % (new HTuple(hv_Color_COPY_INP_TMP.TupleLength()
)));
}
if ((int)((new HTuple(hv_CurrentColor.TupleNotEqual(""))).TupleAnd(new HTuple(hv_CurrentColor.TupleNotEqual(
"auto")))) != 0)
{
//Valid color?
try
{
HOperatorSet.SetColor(hv_WindowHandle, hv_CurrentColor);
}
// catch (Exception)
catch (HalconException HDevExpDefaultException1)
{
HDevExpDefaultException1.ToHTuple(out hv_Exception);
hv_Exception = ((("Wrong value of control parameter Color[" + (hv_Index % (new HTuple(hv_Color_COPY_INP_TMP.TupleLength()
)))) + "] == '") + hv_CurrentColor) + "' (must be a valid color string)";
throw new HalconException(hv_Exception);
}
}
else
{
HOperatorSet.SetRgb(hv_WindowHandle, hv_Red, hv_Green, hv_Blue);
}
//Finally display text
hv_RowI = hv_R1 + (hv_MaxHeight * hv_Index);
HOperatorSet.SetTposition(hv_WindowHandle, hv_RowI, hv_C1);
HOperatorSet.WriteString(hv_WindowHandle, hv_StringI.TupleSelect(hv_Index));
}
}
//Reset changed window settings
HOperatorSet.SetRgb(hv_WindowHandle, hv_Red, hv_Green, hv_Blue);
HOperatorSet.SetPart(hv_WindowHandle, hv_RowI1Part, hv_ColumnI1Part, hv_RowI2Part,
hv_ColumnI2Part);
return;
}
private void action()
{
HObject ho_Rectangle, ho_ImageReduced;
HTuple hv_Number = null;
HObject ho_ImageCED = null, ho_Edges = null;
HObject ho_ContoursSplit1 = null, ho_EmptyObject = null, ho_ObjectSelected = null;
HObject ho_Region = null;
HTuple hv_i = new HTuple();
HTuple hv_Attrib = new HTuple(), hv_Row1 = new HTuple(), hv_Number1 = new HTuple();
HTuple hv_Column = new HTuple(), hv_Radius = new HTuple();
HTuple hv_StartPhi = new HTuple(), hv_EndPhi = new HTuple();
HTuple hv_PointOrder = new HTuple(), hv_Row = new HTuple();
HTuple hv_Col = new HTuple(), RR = new HTuple(), CC = new HTuple();
HOperatorSet.GenEmptyObj(out ho_Rectangle);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_ImageCED);
HOperatorSet.GenEmptyObj(out ho_Edges);
HOperatorSet.GenEmptyObj(out ho_ContoursSplit1);
HOperatorSet.GenEmptyObj(out ho_EmptyObject);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected);
HOperatorSet.GenEmptyObj(out ho_Region);
HOperatorSet.Union1(algorithm.Region, out RegionToDisp);
try
{
ho_Rectangle.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle, hv_centerRowm, hv_centerColumnm, hv_Phim, hv_Length1m,
hv_Length2m);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(Image, ho_Rectangle, out ho_ImageReduced);
ho_ImageCED.Dispose();
HOperatorSet.CoherenceEnhancingDiff(ho_ImageReduced, out ho_ImageCED, 0.1,
3, 0.5, 2);
ho_Edges.Dispose();
HOperatorSet.EdgesSubPix(ho_ImageCED, out ho_Edges, "canny", 1, 5, 20);
ho_ContoursSplit1.Dispose();
HOperatorSet.SegmentContoursXld(ho_Edges, out ho_ContoursSplit1, "lines_circles",
7, 7, 2);
HOperatorSet.CountObj(ho_ContoursSplit1, out hv_Number1);
hv_Number = 0;
ho_EmptyObject.Dispose();
HOperatorSet.GenEmptyObj(out ho_EmptyObject);
HTuple end_val13 = hv_Number1;
HTuple step_val13 = 1;
for (hv_i = 1; hv_i.Continue(end_val13, step_val13); hv_i = hv_i.TupleAdd(step_val13))
{
ho_ObjectSelected.Dispose();
HOperatorSet.SelectObj(ho_ContoursSplit1, out ho_ObjectSelected, hv_i);
HOperatorSet.GetContourGlobalAttribXld(ho_ObjectSelected, "cont_approx",
out hv_Attrib);
if ((int)(new HTuple(hv_Attrib.TupleGreater(-1))) != 0)
{
HOperatorSet.FitCircleContourXld(ho_ObjectSelected, "algebraic", -1, 0,
0, 3, 2, out hv_Row1, out hv_Column, out hv_Radius, out hv_StartPhi,
out hv_EndPhi, out hv_PointOrder);
if ((int)((new HTuple(hv_Column.TupleLess(hv_centerRowm - hv_Length1m / 10))).TupleAnd(new HTuple(hv_Radius.TupleGreater(
hv_Length1m * 0.3)))) != 0)
{
HOperatorSet.GetContourXld(ho_ObjectSelected, out RR, out CC);
hv_Number = hv_Number + RR.TupleLength();
HOperatorSet.GetContourXld(ho_ObjectSelected, out hv_Row, out hv_Col);
ho_Region.Dispose();
HOperatorSet.GenRegionPoints(out ho_Region, hv_Row, hv_Col);
{
HObject ExpTmpOutVar_0;
HOperatorSet.ConcatObj(ho_EmptyObject, ho_Region, out ExpTmpOutVar_0);
ho_EmptyObject.Dispose();
ho_EmptyObject = ExpTmpOutVar_0;
}
}
}
}
HOperatorSet.Union1(ho_EmptyObject, out RegionToDisp);
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("螺纹数量");
hv_result = hv_result.TupleConcat(hv_Number.I);
result = hv_result.Clone();
}
catch
{
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("螺纹数量");
hv_result = hv_result.TupleConcat(0);
result = hv_result.Clone();
}
finally
{
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_ImageCED.Dispose();
ho_Edges.Dispose();
ho_ContoursSplit1.Dispose();
ho_EmptyObject.Dispose();
ho_ObjectSelected.Dispose();
ho_Region.Dispose();
algorithm.Region.Dispose();
}
}
public void scale_image_range(HObject ho_Image, out HObject ho_ImageScaled, HTuple hv_Min,
HTuple hv_Max)
{
// Stack for temporary objects
HObject[] OTemp = new HObject[20];
// Local iconic variables
HObject ho_SelectedChannel = null, ho_LowerRegion = null;
HObject ho_UpperRegion = null;
// Local copy input parameter variables
HObject ho_Image_COPY_INP_TMP;
ho_Image_COPY_INP_TMP = ho_Image.CopyObj(1, -1);
HTuple hv_LowerLimit = new HTuple(), hv_UpperLimit = new HTuple();
HTuple hv_Mult = null, hv_Add = null, hv_Channels = null;
HTuple hv_Index = null, hv_MinGray = new HTuple(), hv_MaxGray = new HTuple();
HTuple hv_Range = new HTuple();
HTuple hv_Max_COPY_INP_TMP = hv_Max.Clone();
HTuple hv_Min_COPY_INP_TMP = hv_Min.Clone();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_ImageScaled);
HOperatorSet.GenEmptyObj(out ho_SelectedChannel);
HOperatorSet.GenEmptyObj(out ho_LowerRegion);
HOperatorSet.GenEmptyObj(out ho_UpperRegion);
//
if ((int)(new HTuple((new HTuple(hv_Min_COPY_INP_TMP.TupleLength())).TupleEqual(
2))) != 0)
{
hv_LowerLimit = hv_Min_COPY_INP_TMP[1];
hv_Min_COPY_INP_TMP = hv_Min_COPY_INP_TMP[0];
}
else
{
hv_LowerLimit = 0.0;
}
if ((int)(new HTuple((new HTuple(hv_Max_COPY_INP_TMP.TupleLength())).TupleEqual(
2))) != 0)
{
hv_UpperLimit = hv_Max_COPY_INP_TMP[1];
hv_Max_COPY_INP_TMP = hv_Max_COPY_INP_TMP[0];
}
else
{
hv_UpperLimit = 255.0;
}
//
//Calculate scaling parameters
hv_Mult = (((hv_UpperLimit - hv_LowerLimit)).TupleReal()) / (hv_Max_COPY_INP_TMP - hv_Min_COPY_INP_TMP);
hv_Add = ((-hv_Mult) * hv_Min_COPY_INP_TMP) + hv_LowerLimit;
//
//Scale image
{
HObject ExpTmpOutVar_0;
HOperatorSet.ScaleImage(ho_Image_COPY_INP_TMP, out ExpTmpOutVar_0, hv_Mult, hv_Add);
ho_Image_COPY_INP_TMP.Dispose();
ho_Image_COPY_INP_TMP = ExpTmpOutVar_0;
}
//
//Clip gray values if necessary
//This must be done for each channel separately
HOperatorSet.CountChannels(ho_Image_COPY_INP_TMP, out hv_Channels);
HTuple end_val48 = hv_Channels;
HTuple step_val48 = 1;
for (hv_Index = 1; hv_Index.Continue(end_val48, step_val48); hv_Index = hv_Index.TupleAdd(step_val48))
{
ho_SelectedChannel.Dispose();
HOperatorSet.AccessChannel(ho_Image_COPY_INP_TMP, out ho_SelectedChannel, hv_Index);
HOperatorSet.MinMaxGray(ho_SelectedChannel, ho_SelectedChannel, 0, out hv_MinGray,
out hv_MaxGray, out hv_Range);
ho_LowerRegion.Dispose();
HOperatorSet.Threshold(ho_SelectedChannel, out ho_LowerRegion, ((hv_MinGray.TupleConcat(
hv_LowerLimit))).TupleMin(), hv_LowerLimit);
ho_UpperRegion.Dispose();
HOperatorSet.Threshold(ho_SelectedChannel, out ho_UpperRegion, hv_UpperLimit,
((hv_UpperLimit.TupleConcat(hv_MaxGray))).TupleMax());
{
HObject ExpTmpOutVar_0;
HOperatorSet.PaintRegion(ho_LowerRegion, ho_SelectedChannel, out ExpTmpOutVar_0,
hv_LowerLimit, "fill");
ho_SelectedChannel.Dispose();
ho_SelectedChannel = ExpTmpOutVar_0;
}
{
HObject ExpTmpOutVar_0;
HOperatorSet.PaintRegion(ho_UpperRegion, ho_SelectedChannel, out ExpTmpOutVar_0,
hv_UpperLimit, "fill");
ho_SelectedChannel.Dispose();
ho_SelectedChannel = ExpTmpOutVar_0;
}
if ((int)(new HTuple(hv_Index.TupleEqual(1))) != 0)
{
ho_ImageScaled.Dispose();
HOperatorSet.CopyObj(ho_SelectedChannel, out ho_ImageScaled, 1, 1);
}
else
{
{
HObject ExpTmpOutVar_0;
HOperatorSet.AppendChannel(ho_ImageScaled, ho_SelectedChannel, out ExpTmpOutVar_0
);
ho_ImageScaled.Dispose();
ho_ImageScaled = ExpTmpOutVar_0;
}
}
}
ho_Image_COPY_INP_TMP.Dispose();
ho_SelectedChannel.Dispose();
ho_LowerRegion.Dispose();
ho_UpperRegion.Dispose();
return;
}
// Procedures
#if !NO_EXPORT_MAIN
// Main procedure
private void action()
{
// Local iconic variables
HObject ho_Image, ho_ImageRotate, ho_ROI_0;
HObject ho_ImageReduced, ho_Regions, ho_RegionFillUp, ho_ConnectedRegions;
HObject ho_SelectedRegions, ho_BinImage, ho_Characters;
HObject ho_Image2, ho_ImageRotate2, ho_ROI_02, ho_ImageReduced2;
HObject ho_Regions2, ho_RegionFillUp2, ho_ConnectedRegions2;
HObject ho_SelectedRegions2, ho_BinImage2, ho_Characters2;
// Local control variables
HTuple hv_AcqHandle = null, hv_Width = null;
HTuple hv_Height = null, hv_TextModel = null, hv_TextResultID = null;
HTuple hv_ResultValue = null, hv_Width2 = null, hv_Height2 = null;
HTuple hv_TextModel2 = null, hv_TextResultID2 = null, hv_ResultValue2 = null;
HTuple hv_license = null, hv_container = null, hv_licLength = null;
HTuple hv_i = null, hv_conLength = null;
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Image);
HOperatorSet.GenEmptyObj(out ho_ImageRotate);
HOperatorSet.GenEmptyObj(out ho_ROI_0);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Regions);
HOperatorSet.GenEmptyObj(out ho_RegionFillUp);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions);
HOperatorSet.GenEmptyObj(out ho_BinImage);
HOperatorSet.GenEmptyObj(out ho_Characters);
HOperatorSet.GenEmptyObj(out ho_Image2);
HOperatorSet.GenEmptyObj(out ho_ImageRotate2);
HOperatorSet.GenEmptyObj(out ho_ROI_02);
HOperatorSet.GenEmptyObj(out ho_ImageReduced2);
HOperatorSet.GenEmptyObj(out ho_Regions2);
HOperatorSet.GenEmptyObj(out ho_RegionFillUp2);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions2);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions2);
HOperatorSet.GenEmptyObj(out ho_BinImage2);
HOperatorSet.GenEmptyObj(out ho_Characters2);
//open_framegrabber ('GenICamTL', 0, 0, 0, 0, 0, 0, 'progressive', -1, 'default', -1, 'false', 'default', '0x305316d5c4', 0, -1, AcqHandle)
//Image Acquisition 01: Code generated by Image Acquisition 01
//Image Acquisition 01: Code generated by Image Acquisition 01
HOperatorSet.OpenFramegrabber("GigEVision2", 0, 0, 0, 0, 0, 0, "progressive",
-1, "default", -1, "false", "default", "licenseCam", 0, -1, out hv_AcqHandle);
//open_framegrabber ('GigEVision', 0, 0, 0, 0, 0, 0, 'default', -1, 'default', -1, 'false', 'default', 'licenseCam', 0, -1, AcqHandle)
HOperatorSet.SetFramegrabberParam(hv_AcqHandle, "AcquisitionMode", "SingleFrame");
//set_framegrabber_param (AcqHandle, 'ExposureTimeAbs', 55555.0)
HOperatorSet.GrabImageStart(hv_AcqHandle, -1);
//
ho_Image.Dispose();
HOperatorSet.GrabImageAsync(out ho_Image, hv_AcqHandle, -1);
HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
ho_ImageRotate.Dispose();
HOperatorSet.RotateImage(ho_Image, out ho_ImageRotate, 0, "constant");
ho_Image.Dispose();
HOperatorSet.AccessChannel(ho_ImageRotate, out ho_Image, 1);
//OLD
//gen_rectangle1 (ROI_0, 431.688, 468.25, 607.938, 1265.75)
//gen_rectangle1 (ROI_0, 442.63, 403.582, 632.248, 1275.42)
ho_ROI_0.Dispose();
HOperatorSet.GenRectangle1(out ho_ROI_0, 490.034, 428.071, 681.714, 1339.09);
//Remove large blobs
//gray_closing_rect (Image, ImageClosing, 10, 10)
//sub_image (Image, ImageClosing, ImageSub, 3, 0)
//
//Preprocessing to enhance contrast
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_ROI_0, out ho_ImageReduced);
ho_Regions.Dispose();
HOperatorSet.Threshold(ho_ImageReduced, out ho_Regions, 0, 80);
ho_RegionFillUp.Dispose();
HOperatorSet.FillUpShape(ho_Regions, out ho_RegionFillUp, "area", 0, 40);
ho_ConnectedRegions.Dispose();
HOperatorSet.Connection(ho_RegionFillUp, out ho_ConnectedRegions);
ho_SelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_ConnectedRegions, out ho_SelectedRegions, "area",
"and", 150, 99999);
ho_BinImage.Dispose();
HOperatorSet.RegionToBin(ho_SelectedRegions, out ho_BinImage, 0, 255, hv_Width,
hv_Height);
//
//Perform OCR using the automatic text model reader
HOperatorSet.CreateTextModelReader("auto", "Industrial_0-9+_Rej.omc", out hv_TextModel);
//set_text_model_param (TextModel, 'max_char_height', 200)
//set_text_model_param (TextModel, 'min_char_height', 20)
//set_text_model_param (TextModel, 'min_char_width', 5)
//set_text_model_param (TextModel, 'max_char_width', 175)
//set_text_model_param (TextModel, 'return_separators', 'false')
//set_text_model_param (TextModel, 'min_contrast', 30)
HOperatorSet.FindText(ho_BinImage, hv_TextModel, out hv_TextResultID);
//
//Get the results from the OCR
ho_Characters.Dispose();
HOperatorSet.GetTextObject(out ho_Characters, hv_TextResultID, "all_lines");
HOperatorSet.GetTextResult(hv_TextResultID, "class", out hv_ResultValue);
//
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_Image, HDevWindowStack.GetActive());
}
if (HDevWindowStack.IsOpen())
{
HOperatorSet.SetColor(HDevWindowStack.GetActive(), "green");
}
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_Characters, HDevWindowStack.GetActive());
}
//do memory cleanup here
if (HDevWindowStack.IsOpen())
{
HOperatorSet.ClearWindow(HDevWindowStack.GetActive());
}
dev_update_on();
HOperatorSet.CloseFramegrabber(hv_AcqHandle);
//********************************************second camera
//Image Acquisition 02: Code generated by Image Acquisition 02
//open_framegrabber ('GigEVision', 0, 0, 0, 0, 0, 0, 'default', -1, 'default', -1, 'false', 'default', 'containerCam', 0, -1, AcqHandle)
//Image Acquisition 02: Code generated by Image Acquisition 02
HOperatorSet.OpenFramegrabber("GigEVision2", 0, 0, 0, 0, 0, 0, "progressive",
-1, "default", -1, "false", "default", "containerCam", 0, -1, out hv_AcqHandle);
//open_framegrabber ('GenICamTL', 0, 0, 0, 0, 0, 0, 'progressive', -1, 'default', -1, 'false', 'default', '0x3053228741', 0, -1, AcqHandle)
//set_framegrabber_param (AcqHandle, 'ExposureTimeAbs', 55555.0)
HOperatorSet.GrabImageStart(hv_AcqHandle, -1);
//
ho_Image2.Dispose();
HOperatorSet.GrabImageAsync(out ho_Image2, hv_AcqHandle, -1);
HOperatorSet.GetImageSize(ho_Image2, out hv_Width2, out hv_Height2);
ho_ImageRotate2.Dispose();
HOperatorSet.RotateImage(ho_Image2, out ho_ImageRotate2, 180, "constant");
ho_Image2.Dispose();
HOperatorSet.AccessChannel(ho_ImageRotate2, out ho_Image2, 1);
//OLD
//gen_rectangle1 (ROI_02, 330.438, 690.75, 459.813, 1548.25)
//gen_rectangle1 (ROI_02, 30.416, 658.276, 199.424, 1564.4)
ho_ROI_02.Dispose();
HOperatorSet.GenRectangle1(out ho_ROI_02, -4.62214, 670.52, 114.92, 1527.66);
//Remove large blobs
//gray_closing_rect (Image2, ImageClosing2, 10, 10)
//sub_image (Image2, ImageClosing2, ImageSub2, 3, 180)
//
//Preprocessing to enhance contrast
ho_ImageReduced2.Dispose();
HOperatorSet.ReduceDomain(ho_Image2, ho_ROI_02, out ho_ImageReduced2);
ho_Regions2.Dispose();
HOperatorSet.Threshold(ho_ImageReduced2, out ho_Regions2, 0, 120);
ho_RegionFillUp2.Dispose();
HOperatorSet.FillUpShape(ho_Regions2, out ho_RegionFillUp2, "area", 0, 40);
ho_ConnectedRegions2.Dispose();
HOperatorSet.Connection(ho_RegionFillUp2, out ho_ConnectedRegions2);
ho_SelectedRegions2.Dispose();
HOperatorSet.SelectShape(ho_ConnectedRegions2, out ho_SelectedRegions2, "area",
"and", 150, 99999);
ho_BinImage2.Dispose();
HOperatorSet.RegionToBin(ho_SelectedRegions2, out ho_BinImage2, 255, 0, hv_Width2,
hv_Height2);
//
//Perform OCR using the automatic text model reader
HOperatorSet.CreateTextModelReader("auto", "Industrial_0-9A-Z_Rej.omc", out hv_TextModel2);
//set_text_model_param (TextModel2, 'max_char_height', 200)
//set_text_model_param (TextModel2, 'min_char_height', 1)
//set_text_model_param (TextModel2, 'min_char_width', 1)
//set_text_model_param (TextModel2, 'max_char_width', 175)
//set_text_model_param (TextModel2, 'return_separators', 'false')
//set_text_model_param (TextModel2, 'min_contrast', 30)
HOperatorSet.FindText(ho_BinImage2, hv_TextModel2, out hv_TextResultID2);
//
//Get the results from the OCR
ho_Characters2.Dispose();
HOperatorSet.GetTextObject(out ho_Characters2, hv_TextResultID2, "all_lines");
HOperatorSet.GetTextResult(hv_TextResultID2, "class", out hv_ResultValue2);
//
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_Image2, HDevWindowStack.GetActive());
}
if (HDevWindowStack.IsOpen())
{
HOperatorSet.SetColor(HDevWindowStack.GetActive(), "green");
}
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_Characters2, HDevWindowStack.GetActive());
}
//do memory cleanup here
if (HDevWindowStack.IsOpen())
{
HOperatorSet.ClearWindow(HDevWindowStack.GetActive());
}
dev_update_on();
HOperatorSet.CloseFramegrabber(hv_AcqHandle);
hv_license = "";
hv_container = "";
HOperatorSet.TupleStrlen(hv_ResultValue, out hv_licLength);
HOperatorSet.TupleSum(hv_licLength, out hv_licLength);
HTuple end_val117 = hv_licLength - 1;
HTuple step_val117 = 1;
for (hv_i = 0; hv_i.Continue(end_val117, step_val117); hv_i = hv_i.TupleAdd(step_val117))
{
hv_license = hv_license + (hv_ResultValue.TupleSelect(hv_i));
}
HOperatorSet.TupleStrlen(hv_ResultValue2, out hv_conLength);
HOperatorSet.TupleSum(hv_conLength, out hv_conLength);
HTuple end_val122 = hv_conLength - 1;
HTuple step_val122 = 1;
for (hv_i = 0; hv_i.Continue(end_val122, step_val122); hv_i = hv_i.TupleAdd(step_val122))
{
hv_container = hv_container + (hv_ResultValue2.TupleSelect(hv_i));
}
hv_license = hv_license.TupleSelect(0);
ho_Image.Dispose();
ho_ImageRotate.Dispose();
ho_ROI_0.Dispose();
ho_ImageReduced.Dispose();
ho_Regions.Dispose();
ho_RegionFillUp.Dispose();
ho_ConnectedRegions.Dispose();
ho_SelectedRegions.Dispose();
ho_BinImage.Dispose();
ho_Characters.Dispose();
ho_Image2.Dispose();
ho_ImageRotate2.Dispose();
ho_ROI_02.Dispose();
ho_ImageReduced2.Dispose();
ho_Regions2.Dispose();
ho_RegionFillUp2.Dispose();
ho_ConnectedRegions2.Dispose();
ho_SelectedRegions2.Dispose();
ho_BinImage2.Dispose();
ho_Characters2.Dispose();
}
public int myOcrSplit(HObject ho_inImage, HObject ho_inRegion, HTuple hv_ocrClassifier,
HTuple hv_standardText, HTuple hv_charCount, HTuple hv_returnPunctuation, HTuple hv_lightOnDark,
out HTuple hv_Word)
{
// Local iconic variables
HObject ho_Timg1 = null, ho_ImageReduced, ho_Region = null;
HObject ho_Characters = null;
// Local control variables
HTuple hv_step = null, hv_stepMax = null, hv_useEnhanced = null;
HTuple hv_TextModel = null, hv_OCRHandle = null, hv_RegularExpression = null;
HTuple hv_UsedThreshold = new HTuple(), hv_Area = new HTuple();
HTuple hv_Row = new HTuple(), hv_Column = new HTuple();
HTuple hv_Area1 = new HTuple(), hv_Row1 = new HTuple();
HTuple hv_Column1 = new HTuple(), hv_findText = new HTuple();
HTuple hv_bufferCount = new HTuple(), hv_bufferMincontrast = new HTuple();
HTuple hv_Index = new HTuple(), hv_add = new HTuple();
HTuple hv_TextResultID = new HTuple(), hv_Class = new HTuple();
HTuple hv_Confidence = new HTuple(), hv_Score = new HTuple();
HTuple hv_Number = new HTuple(), hv_ScoreSum = new HTuple();
HTuple hv_Index1 = new HTuple(), hv_Length = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Timg1);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Region);
HOperatorSet.GenEmptyObj(out ho_Characters);
hv_Word = new HTuple();
ho_Timg1.Dispose();
ho_Timg1 = ho_inImage.CopyObj(1, -1);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_Timg1, ho_inRegion, out ho_ImageReduced);
hv_step = 3;
hv_stepMax = 25;
hv_useEnhanced = 1;
HOperatorSet.CreateTextModelReader("auto", hv_ocrClassifier, out hv_TextModel);
HOperatorSet.ReadOcrClassCnn(hv_ocrClassifier, out hv_OCRHandle);
HOperatorSet.SetTextModelParam(hv_TextModel, "separate_touching_chars", "enhanced");
HOperatorSet.SetTextModelParam(hv_TextModel, "return_separators", "true");
HOperatorSet.SetTextModelParam(hv_TextModel, "add_fragments", "true");
HOperatorSet.SetTextModelParam(hv_TextModel, "return_punctuation", hv_returnPunctuation == 0 ? "false" : "true");
//RegularExpression := ''
//字符串转正则表达式
myStringToRegular(hv_standardText, out hv_RegularExpression);
hv_RegularExpression = ("(" + hv_RegularExpression) + ")";
//判断是否需要反转颜色
if ((int)(new HTuple(hv_lightOnDark.TupleEqual(1))) != 0)
{
HObject ExpTmpOutVar_0;
HOperatorSet.InvertImage(ho_ImageReduced, out ExpTmpOutVar_0);
ho_ImageReduced.Dispose();
ho_ImageReduced = ExpTmpOutVar_0;
}
else if ((int)(new HTuple(hv_lightOnDark.TupleEqual(2))) != 0)
{
//自动判断是否反转颜色，金工之前的项目中并未使用该功能
ho_Region.Dispose();
HOperatorSet.BinaryThreshold(ho_ImageReduced, out ho_Region, "max_separability",
"dark", out hv_UsedThreshold);
HOperatorSet.AreaCenter(ho_ImageReduced, out hv_Area, out hv_Row, out hv_Column);
HOperatorSet.AreaCenter(ho_Region, out hv_Area1, out hv_Row1, out hv_Column1);
if ((int)(new HTuple(hv_Area1.TupleGreater(hv_Area / 2))) != 0)
{
{
HObject ExpTmpOutVar_0;
HOperatorSet.InvertImage(ho_ImageReduced, out ExpTmpOutVar_0);
ho_ImageReduced.Dispose();
ho_ImageReduced = ExpTmpOutVar_0;
}
}
}
//以置信度最高为分割目标
if ((int)(new HTuple(hv_charCount.TupleEqual(0))) != 0)
{
hv_findText = 0;
hv_bufferCount = 0;
hv_bufferMincontrast = 5;
HTuple end_val52 = hv_stepMax;
HTuple step_val52 = 1;
for (hv_Index = 1; hv_Index.Continue(end_val52, step_val52); hv_Index = hv_Index.TupleAdd(step_val52))
{
hv_add = hv_step * hv_Index;
HOperatorSet.SetTextModelParam(hv_TextModel, "min_contrast", hv_add);
HOperatorSet.FindText(ho_ImageReduced, hv_TextModel, out hv_TextResultID);
ho_Characters.Dispose();
HOperatorSet.GetTextObject(out ho_Characters, hv_TextResultID, "all_lines");
HOperatorSet.DoOcrWordCnn(ho_Characters, ho_ImageReduced, hv_OCRHandle, hv_RegularExpression,
3, 10, out hv_Class, out hv_Confidence, out hv_Word, out hv_Score);
HOperatorSet.CountObj(ho_Characters, out hv_Number);
HOperatorSet.TupleSum(hv_Confidence, out hv_ScoreSum);
HOperatorSet.TupleFindFirst(hv_Class, "\x1A", out hv_Index1);
if ((int)((new HTuple(hv_bufferCount.TupleLess(hv_ScoreSum))).TupleAnd(new HTuple(hv_Index1.TupleEqual(
-1)))) != 0)
{
hv_findText = 1;
hv_bufferCount = hv_ScoreSum.Clone();
hv_bufferMincontrast = hv_add.Clone();
}
}
HOperatorSet.SetTextModelParam(hv_TextModel, "min_contrast", hv_bufferMincontrast);
HOperatorSet.FindText(ho_ImageReduced, hv_TextModel, out hv_TextResultID);
ho_Characters.Dispose();
HOperatorSet.GetTextObject(out ho_Characters, hv_TextResultID, "all_lines");
HOperatorSet.DoOcrWordCnn(ho_Characters, ho_ImageReduced, hv_OCRHandle, hv_RegularExpression,
3, 10, out hv_Class, out hv_Confidence, out hv_Word, out hv_Score);
}
//以识别字符为固定长度为分割目标
if ((int)(new HTuple(hv_charCount.TupleGreater(0))) != 0)
{
hv_findText = 0;
hv_bufferCount = 0;
hv_bufferMincontrast = 5;
HTuple end_val86 = hv_stepMax;
HTuple step_val86 = 1;
for (hv_Index = 1; hv_Index.Continue(end_val86, step_val86); hv_Index = hv_Index.TupleAdd(step_val86))
{
hv_add = hv_step * hv_Index;
HOperatorSet.SetTextModelParam(hv_TextModel, "min_contrast", hv_add);
HOperatorSet.FindText(ho_ImageReduced, hv_TextModel, out hv_TextResultID);
ho_Characters.Dispose();
HOperatorSet.GetTextObject(out ho_Characters, hv_TextResultID, "all_lines");
HOperatorSet.CountObj(ho_Characters, out hv_Number);
if ((int)(new HTuple(hv_charCount.TupleEqual(hv_Number))) != 0)
{
hv_findText = 1;
//
HOperatorSet.DoOcrWordCnn(ho_Characters, ho_ImageReduced, hv_OCRHandle,
hv_RegularExpression, 3, 10, out hv_Class, out hv_Confidence, out hv_Word,
out hv_Score);
HOperatorSet.TupleSum(hv_Confidence, out hv_ScoreSum);
HOperatorSet.TupleFindFirst(hv_Class, "\x1A", out hv_Index1);
if ((int)((new HTuple(hv_bufferCount.TupleLess(hv_ScoreSum))).TupleAnd(
new HTuple(hv_Index1.TupleEqual(-1)))) != 0)
{
hv_findText = 1;
hv_bufferCount = hv_ScoreSum.Clone();
hv_bufferMincontrast = hv_add.Clone();
}
}
}
//以置信度最高为分割目标 再识别一次
//if (findText == 0)
HOperatorSet.SetTextModelParam(hv_TextModel, "min_contrast", hv_bufferMincontrast);
HOperatorSet.FindText(ho_ImageReduced, hv_TextModel, out hv_TextResultID);
ho_Characters.Dispose();
HOperatorSet.GetTextObject(out ho_Characters, hv_TextResultID, "all_lines");
HOperatorSet.DoOcrWordCnn(ho_Characters, ho_ImageReduced, hv_OCRHandle, hv_RegularExpression,
3, 10, out hv_Class, out hv_Confidence, out hv_Word, out hv_Score);
//endif
}
//使用标准文本对比
if ((int)(new HTuple(hv_charCount.TupleLess(0))) != 0)
{
//判断是否和标准文本一致
hv_findText = 0;
hv_bufferCount = 0;
hv_bufferMincontrast = 5;
HTuple end_val130 = hv_stepMax;
HTuple step_val130 = 1;
for (hv_Index = 1; hv_Index.Continue(end_val130, step_val130); hv_Index = hv_Index.TupleAdd(step_val130))
{
hv_add = hv_step * hv_Index;
HOperatorSet.SetTextModelParam(hv_TextModel, "min_contrast", hv_add);
HOperatorSet.FindText(ho_ImageReduced, hv_TextModel, out hv_TextResultID);
ho_Characters.Dispose();
HOperatorSet.GetTextObject(out ho_Characters, hv_TextResultID, "all_lines");
HOperatorSet.CountObj(ho_Characters, out hv_Number);
HOperatorSet.TupleStrlen(hv_standardText, out hv_Length);
if ((int)(new HTuple(hv_Length.TupleNotEqual(hv_Number))) != 0)
{
continue;
}
HOperatorSet.DoOcrWordCnn(ho_Characters, ho_ImageReduced, hv_OCRHandle, hv_RegularExpression,
5, 10, out hv_Class, out hv_Confidence, out hv_Word, out hv_Score);
if ((int)(new HTuple(hv_Word.TupleEqual(hv_standardText))) != 0)
{
hv_findText = 1;
break;
}
HOperatorSet.TupleSum(hv_Confidence, out hv_ScoreSum);
HOperatorSet.TupleFindFirst(hv_Class, "\x1A", out hv_Index1);
if ((int)((new HTuple(hv_bufferCount.TupleLess(hv_ScoreSum))).TupleAnd(new HTuple(hv_Index1.TupleEqual(
-1)))) != 0)
{
hv_bufferCount = hv_ScoreSum.Clone();
hv_bufferMincontrast = hv_add.Clone();
}
}
//以置信度最高为分割目标 再识别一次
if ((int)(new HTuple(hv_findText.TupleEqual(0))) != 0)
{
HOperatorSet.SetTextModelParam(hv_TextModel, "min_contrast", hv_bufferMincontrast);
HOperatorSet.FindText(ho_ImageReduced, hv_TextModel, out hv_TextResultID);
ho_Characters.Dispose();
HOperatorSet.GetTextObject(out ho_Characters, hv_TextResultID, "all_lines");
HOperatorSet.DoOcrWordCnn(ho_Characters, ho_ImageReduced, hv_OCRHandle, hv_RegularExpression,
5, 10, out hv_Class, out hv_Confidence, out hv_Word, out hv_Score);
}
}
HOperatorSet.ClearTextModel(hv_TextModel);
HOperatorSet.ClearOcrClassCnn(hv_OCRHandle);
ho_Timg1.Dispose();
ho_ImageReduced.Dispose();
ho_Region.Dispose();
ho_Characters.Dispose();
int nRet = 1;
if (hv_findText == 1)
{
nRet = 0;
}
return(nRet);
}
// Chapter: Filters / Arithmetic
// Short Description: Scale the gray values of an image from the interval [Min,Max] to [0,255]
public void scale_image_range(HObject ho_Image, out HObject ho_ImageScaled, HTuple hv_Min,
HTuple hv_Max)
{
// Stack for temporary objects
HObject[] OTemp = new HObject[20];
// Local iconic variables
HObject ho_ImageSelected = null, ho_SelectedChannel = null;
HObject ho_LowerRegion = null, ho_UpperRegion = null, ho_ImageSelectedScaled = null;
// Local copy input parameter variables
HObject ho_Image_COPY_INP_TMP;
ho_Image_COPY_INP_TMP = ho_Image.CopyObj(1, -1);
// Local control variables
HTuple hv_LowerLimit = new HTuple(), hv_UpperLimit = new HTuple();
HTuple hv_Mult = null, hv_Add = null, hv_NumImages = null;
HTuple hv_ImageIndex = null, hv_Channels = new HTuple();
HTuple hv_ChannelIndex = new HTuple(), hv_MinGray = new HTuple();
HTuple hv_MaxGray = new HTuple(), hv_Range = new HTuple();
HTuple hv_Max_COPY_INP_TMP = hv_Max.Clone();
HTuple hv_Min_COPY_INP_TMP = hv_Min.Clone();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_ImageScaled);
HOperatorSet.GenEmptyObj(out ho_ImageSelected);
HOperatorSet.GenEmptyObj(out ho_SelectedChannel);
HOperatorSet.GenEmptyObj(out ho_LowerRegion);
HOperatorSet.GenEmptyObj(out ho_UpperRegion);
HOperatorSet.GenEmptyObj(out ho_ImageSelectedScaled);
//Convenience procedure to scale the gray values of the
//input image Image from the interval [Min,Max]
//to the interval [0,255] (default).
//Gray values < 0 or > 255 (after scaling) are clipped.
//
//If the image shall be scaled to an interval different from [0,255],
//this can be achieved by passing tuples with 2 values [From, To]
//as Min and Max.
//Example:
//scale_image_range(Image:ImageScaled:[100,50],[200,250])
//maps the gray values of Image from the interval [100,200] to [50,250].
//All other gray values will be clipped.
//
//input parameters:
//Image: the input image
//Min: the minimum gray value which will be mapped to 0
// If a tuple with two values is given, the first value will
// be mapped to the second value.
//Max: The maximum gray value which will be mapped to 255
// If a tuple with two values is given, the first value will
// be mapped to the second value.
//
//Output parameter:
//ImageScale: the resulting scaled image.
//
if ((int)(new HTuple((new HTuple(hv_Min_COPY_INP_TMP.TupleLength())).TupleEqual(
2))) != 0)
{
hv_LowerLimit = hv_Min_COPY_INP_TMP.TupleSelect(1);
hv_Min_COPY_INP_TMP = hv_Min_COPY_INP_TMP.TupleSelect(0);
}
else
{
hv_LowerLimit = 0.0;
}
if ((int)(new HTuple((new HTuple(hv_Max_COPY_INP_TMP.TupleLength())).TupleEqual(
2))) != 0)
{
hv_UpperLimit = hv_Max_COPY_INP_TMP.TupleSelect(1);
hv_Max_COPY_INP_TMP = hv_Max_COPY_INP_TMP.TupleSelect(0);
}
else
{
hv_UpperLimit = 255.0;
}
//
//Calculate scaling parameters.
hv_Mult = (((hv_UpperLimit - hv_LowerLimit)).TupleReal()) / (hv_Max_COPY_INP_TMP - hv_Min_COPY_INP_TMP);
hv_Add = ((-hv_Mult) * hv_Min_COPY_INP_TMP) + hv_LowerLimit;
//
//Scale image.
{
HObject ExpTmpOutVar_0;
HOperatorSet.ScaleImage(ho_Image_COPY_INP_TMP, out ExpTmpOutVar_0, hv_Mult, hv_Add);
ho_Image_COPY_INP_TMP.Dispose();
ho_Image_COPY_INP_TMP = ExpTmpOutVar_0;
}
//
//Clip gray values if necessary.
//This must be done for each image and channel separately.
ho_ImageScaled.Dispose();
HOperatorSet.GenEmptyObj(out ho_ImageScaled);
HOperatorSet.CountObj(ho_Image_COPY_INP_TMP, out hv_NumImages);
HTuple end_val49 = hv_NumImages;
HTuple step_val49 = 1;
for (hv_ImageIndex = 1; hv_ImageIndex.Continue(end_val49, step_val49); hv_ImageIndex = hv_ImageIndex.TupleAdd(step_val49))
{
ho_ImageSelected.Dispose();
HOperatorSet.SelectObj(ho_Image_COPY_INP_TMP, out ho_ImageSelected, hv_ImageIndex);
HOperatorSet.CountChannels(ho_ImageSelected, out hv_Channels);
HTuple end_val52 = hv_Channels;
HTuple step_val52 = 1;
for (hv_ChannelIndex = 1; hv_ChannelIndex.Continue(end_val52, step_val52); hv_ChannelIndex = hv_ChannelIndex.TupleAdd(step_val52))
{
ho_SelectedChannel.Dispose();
HOperatorSet.AccessChannel(ho_ImageSelected, out ho_SelectedChannel, hv_ChannelIndex);
HOperatorSet.MinMaxGray(ho_SelectedChannel, ho_SelectedChannel, 0, out hv_MinGray,
out hv_MaxGray, out hv_Range);
ho_LowerRegion.Dispose();
HOperatorSet.Threshold(ho_SelectedChannel, out ho_LowerRegion, ((hv_MinGray.TupleConcat(
hv_LowerLimit))).TupleMin(), hv_LowerLimit);
ho_UpperRegion.Dispose();
HOperatorSet.Threshold(ho_SelectedChannel, out ho_UpperRegion, hv_UpperLimit,
((hv_UpperLimit.TupleConcat(hv_MaxGray))).TupleMax());
{
HObject ExpTmpOutVar_0;
HOperatorSet.PaintRegion(ho_LowerRegion, ho_SelectedChannel, out ExpTmpOutVar_0,
hv_LowerLimit, "fill");
ho_SelectedChannel.Dispose();
ho_SelectedChannel = ExpTmpOutVar_0;
}
{
HObject ExpTmpOutVar_0;
HOperatorSet.PaintRegion(ho_UpperRegion, ho_SelectedChannel, out ExpTmpOutVar_0,
hv_UpperLimit, "fill");
ho_SelectedChannel.Dispose();
ho_SelectedChannel = ExpTmpOutVar_0;
}
if ((int)(new HTuple(hv_ChannelIndex.TupleEqual(1))) != 0)
{
ho_ImageSelectedScaled.Dispose();
HOperatorSet.CopyObj(ho_SelectedChannel, out ho_ImageSelectedScaled, 1,
1);
}
else
{
{
HObject ExpTmpOutVar_0;
HOperatorSet.AppendChannel(ho_ImageSelectedScaled, ho_SelectedChannel,
out ExpTmpOutVar_0);
ho_ImageSelectedScaled.Dispose();
ho_ImageSelectedScaled = ExpTmpOutVar_0;
}
}
}
{
HObject ExpTmpOutVar_0;
HOperatorSet.ConcatObj(ho_ImageScaled, ho_ImageSelectedScaled, out ExpTmpOutVar_0
);
ho_ImageScaled.Dispose();
ho_ImageScaled = ExpTmpOutVar_0;
}
}
ho_Image_COPY_INP_TMP.Dispose();
ho_ImageSelected.Dispose();
ho_SelectedChannel.Dispose();
ho_LowerRegion.Dispose();
ho_UpperRegion.Dispose();
ho_ImageSelectedScaled.Dispose();
return;
}
// Main procedure
private void action()
{
// Local iconic variables
HObject ho_Bond, ho_Bright = null, ho_Die = null;
HObject ho_DieGrey = null, ho_Wires = null, ho_WiresFilled = null;
HObject ho_Balls = null, ho_SingleBalls = null, ho_Rect = null;
HObject ho_IntermediateBalls = null, ho_Forbidden = null, ho_RegionExpand = null;
HObject ho_RoundBalls = null, ho_FinalBalls = null;
// Local control variables
HTuple hv_ImageNames = null, hv_Width = null;
HTuple hv_Height = null, hv_WindowHandle = new HTuple();
HTuple hv_NumImages = null, hv_I = null, hv_Min = new HTuple();
HTuple hv_Max = new HTuple(), hv_Range = new HTuple();
HTuple hv_Row = new HTuple(), hv_Column = new HTuple();
HTuple hv_Radius = new HTuple(), hv_NumBalls = new HTuple();
HTuple hv_Diameter = new HTuple(), hv_meanDiameter = new HTuple();
HTuple hv_mimDiameter = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Bond);
HOperatorSet.GenEmptyObj(out ho_Bright);
HOperatorSet.GenEmptyObj(out ho_Die);
HOperatorSet.GenEmptyObj(out ho_DieGrey);
HOperatorSet.GenEmptyObj(out ho_Wires);
HOperatorSet.GenEmptyObj(out ho_WiresFilled);
HOperatorSet.GenEmptyObj(out ho_Balls);
HOperatorSet.GenEmptyObj(out ho_SingleBalls);
HOperatorSet.GenEmptyObj(out ho_Rect);
HOperatorSet.GenEmptyObj(out ho_IntermediateBalls);
HOperatorSet.GenEmptyObj(out ho_Forbidden);
HOperatorSet.GenEmptyObj(out ho_RegionExpand);
HOperatorSet.GenEmptyObj(out ho_RoundBalls);
HOperatorSet.GenEmptyObj(out ho_FinalBalls);
try
{
//ball_seq.hdev: Inspection of Ball Bonding
//
dev_update_off();
hv_ImageNames = new HTuple("die/") + (((new HTuple("die_02")).TupleConcat("die_03")).TupleConcat(
"die_04")).TupleConcat("die_07");
HOperatorSet.SetColored(hv_ExpDefaultWinHandle, 12);
ho_Bond.Dispose();
HOperatorSet.ReadImage(out ho_Bond, hv_ImageNames.TupleSelect(0));
HOperatorSet.GetImageSize(ho_Bond, out hv_Width, out hv_Height);
//dev_close_window(...);
//dev_open_window(...);
set_display_font(hv_ExpDefaultWinHandle, 16, "mono", "true", "false");
HOperatorSet.SetDraw(hv_ExpDefaultWinHandle, "margin");
HOperatorSet.SetLineWidth(hv_ExpDefaultWinHandle, 3);
hv_NumImages = new HTuple(hv_ImageNames.TupleLength());
HTuple end_val13 = hv_NumImages - 1;
HTuple step_val13 = 1;
for (hv_I = 0; hv_I.Continue(end_val13, step_val13); hv_I = hv_I.TupleAdd(step_val13))
{
ho_Bond.Dispose();
HOperatorSet.ReadImage(out ho_Bond, hv_ImageNames.TupleSelect(hv_I));
HOperatorSet.DispObj(ho_Bond, hv_ExpDefaultWinHandle);
HOperatorSet.MinMaxGray(ho_Bond, ho_Bond, 0, out hv_Min, out hv_Max, out hv_Range);
ho_Bright.Dispose();
HOperatorSet.Threshold(ho_Bond, out ho_Bright, hv_Max - 80, 255);
ho_Die.Dispose();
HOperatorSet.ShapeTrans(ho_Bright, out ho_Die, "rectangle2");
HOperatorSet.DispObj(ho_Die, hv_ExpDefaultWinHandle);
ho_DieGrey.Dispose();
HOperatorSet.ReduceDomain(ho_Bond, ho_Die, out ho_DieGrey);
HOperatorSet.MinMaxGray(ho_Die, ho_Bond, 0, out hv_Min, out hv_Max, out hv_Range);
ho_Wires.Dispose();
HOperatorSet.Threshold(ho_DieGrey, out ho_Wires, 0, hv_Min + 30);
ho_WiresFilled.Dispose();
HOperatorSet.FillUpShape(ho_Wires, out ho_WiresFilled, "area", 1, 100);
ho_Balls.Dispose();
HOperatorSet.OpeningCircle(ho_WiresFilled, out ho_Balls, 9.5);
ho_SingleBalls.Dispose();
HOperatorSet.Connection(ho_Balls, out ho_SingleBalls);
ho_Rect.Dispose();
HOperatorSet.SelectShapeStd(ho_SingleBalls, out ho_Rect, "rectangle1", 90);
ho_IntermediateBalls.Dispose();
HOperatorSet.Difference(ho_SingleBalls, ho_Rect, out ho_IntermediateBalls
);
ho_Forbidden.Dispose();
HOperatorSet.GenEmptyRegion(out ho_Forbidden);
ho_RegionExpand.Dispose();
HOperatorSet.ExpandGray(ho_IntermediateBalls, ho_Bond, ho_Forbidden, out ho_RegionExpand,
4, "image", 6);
ho_RoundBalls.Dispose();
HOperatorSet.OpeningCircle(ho_RegionExpand, out ho_RoundBalls, 15.5);
ho_FinalBalls.Dispose();
HOperatorSet.SortRegion(ho_RoundBalls, out ho_FinalBalls, "first_point",
"true", "column");
HOperatorSet.SmallestCircle(ho_FinalBalls, out hv_Row, out hv_Column, out hv_Radius);
hv_NumBalls = new HTuple(hv_Radius.TupleLength());
hv_Diameter = 2 * hv_Radius;
hv_meanDiameter = (hv_Diameter.TupleSum()) / hv_NumBalls;
hv_mimDiameter = hv_Diameter.TupleMin();
HOperatorSet.DispObj(ho_RoundBalls, hv_ExpDefaultWinHandle);
if ((int)(new HTuple(hv_I.TupleNotEqual(hv_NumImages))) != 0)
{
disp_continue_message(hv_ExpDefaultWinHandle, "black", "true");
}
HDevelopStop();
}
}
catch (HalconException HDevExpDefaultException)
{
ho_Bond.Dispose();
ho_Bright.Dispose();
ho_Die.Dispose();
ho_DieGrey.Dispose();
ho_Wires.Dispose();
ho_WiresFilled.Dispose();
ho_Balls.Dispose();
ho_SingleBalls.Dispose();
ho_Rect.Dispose();
ho_IntermediateBalls.Dispose();
ho_Forbidden.Dispose();
ho_RegionExpand.Dispose();
ho_RoundBalls.Dispose();
ho_FinalBalls.Dispose();
throw HDevExpDefaultException;
}
ho_Bond.Dispose();
ho_Bright.Dispose();
ho_Die.Dispose();
ho_DieGrey.Dispose();
ho_Wires.Dispose();
ho_WiresFilled.Dispose();
ho_Balls.Dispose();
ho_SingleBalls.Dispose();
ho_Rect.Dispose();
ho_IntermediateBalls.Dispose();
ho_Forbidden.Dispose();
ho_RegionExpand.Dispose();
ho_RoundBalls.Dispose();
ho_FinalBalls.Dispose();
}
/// <summary>
/// 初始化後才能叫用 Action
/// </summary>
public MeasureResult Action()
{
#region 輸出結果， CircleResult or Distance Result
CircleResult mResult = null;
#endregion
// Local iconic variables
HObject ho_R1_Circle = null;
HObject ho_R1_ROI_Image = null, ho_R1_Region = null, ho_R1_ImageReduced = null;
HObject ho_R1_Edges = null, ho_R1_ContoursSplit = null, ho_R1_SingleSegment = null;
//HObject ho_R1_ContEllipse = null;
// Local control variables
HTuple hv_msgOffsetY, hv_msgOffsetX;
//HTuple hv_AllModelId;
HTuple hv_STD_Row;
HTuple hv_STD_Col, hv_Img_Row, hv_Img_Col, hv_Img_Rotate_Angle;
HTuple hv_OffsetRow, hv_OffsetCol, hv_STD_R1_Row, hv_STD_R1_Col;
HTuple hv_STD_R1_V_Row, hv_STD_R1_V_Col, hv_R1_X, hv_R1_Y;
HTuple hv_R1_Pos_Row, hv_R1_Pos_Col, hv_R1_R;
HTuple hv_alpha = new HTuple(), hv_R1_low = new HTuple(), hv_R1_high = new HTuple();
HTuple hv_R1_NumSegments = new HTuple(), hv_NumCircles = new HTuple();
HTuple hv_Num_Circle_Point = new HTuple(), hv_R1 = new HTuple();
HTuple hv_R1_limit = new HTuple(), hv_i = new HTuple(), hv_Attrib = new HTuple();
HTuple hv_R1_Row = new HTuple(), hv_R1_Column = new HTuple();
HTuple hv_R1_Radius = new HTuple(), hv_R1_StartPhi = new HTuple();
HTuple hv_R1_EndPhi = new HTuple(), hv_R1_PointOrder = new HTuple();
HTuple hv_R1_MinDist = new HTuple(), hv_R1_MaxDist = new HTuple();
HTuple hv_R1_AvgDist = new HTuple(), hv_R1_SigmaDist = new HTuple();
HTuple hv_ResultText = new HTuple(), hv_MeasureReasult;
// Initialize local and output iconic variables
//HOperatorSet.GenEmptyObj(out ho_Image);
HOperatorSet.GenEmptyObj(out ho_R1_Circle);
HOperatorSet.GenEmptyObj(out ho_R1_ROI_Image);
HOperatorSet.GenEmptyObj(out ho_R1_Region);
HOperatorSet.GenEmptyObj(out ho_R1_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_R1_Edges);
HOperatorSet.GenEmptyObj(out ho_R1_ContoursSplit);
HOperatorSet.GenEmptyObj(out ho_R1_SingleSegment);
//HOperatorSet.GenEmptyObj(out ho_R1_ContEllipse);
//Measure: SDMS_R1
//Author: John Hsieh
//Date: 2012
//ho_Image.Dispose();
//HOperatorSet.ReadImage(out ho_Image, "D:/Projects/Halcon/SDMS/SDMS_Measure/Images/E-1/E1-1.bmp");
//dev_open_window_fit_image(ho_Image, 0, 0, -1, -1, out hv_WindowHandle);
//dev_update_off ()
// dev_update_window(...); only in hdevelop
HOperatorSet.SetSystem("border_shape_models", "false");
//****Message Args
hv_msgOffsetY = 100;
hv_msgOffsetX = 100;
//****Model All
//HOperatorSet.ReadShapeModel("D:/Projects/Halcon/SDMS/SDMS_Measure/Model/MatchingAll.shm",
// out hv_AllModelId);
//ho_AllModelContours.Dispose();
//HOperatorSet.GetShapeModelContours(out ho_AllModelContours, hv_AllModelId, 1);
//HOperatorSet.FindShapeModel(ho_Image, hv_AllModelId, (new HTuple(0)).TupleRad()
// , (new HTuple(360)).TupleRad(), 0.5, 1, 0.5, "least_squares", 6, 0.75, out hv_AllModelRow,
// out hv_AllModelColumn, out hv_AllModelAngle, out modelScore);
//****Model Args
//STD 中心點
hv_STD_Row = 772;
hv_STD_Col = 1003;
//目前圖形 中心點
hv_Img_Row = hv_AllModelRow.Clone();
hv_Img_Col = hv_AllModelColumn.Clone();
//目前圖形 Rotate Angle
hv_Img_Rotate_Angle = hv_AllModelAngle.Clone();
//目前圖形偏移量
hv_OffsetRow = hv_Img_Row - hv_STD_Row;
hv_OffsetCol = hv_Img_Col - hv_STD_Col;
//****R1
//STD R1_ 位置
hv_STD_R1_Row = 589;
hv_STD_R1_Col = 705;
//STD 向量 STD_R1_
hv_STD_R1_V_Row = hv_STD_R1_Row - hv_STD_Row;
hv_STD_R1_V_Col = hv_STD_R1_Col - hv_STD_Col;
//R1_X, R1_Y 分量
hv_R1_X = (hv_STD_R1_V_Col * (hv_Img_Rotate_Angle.TupleCos())) + (hv_STD_R1_V_Row * (hv_Img_Rotate_Angle.TupleSin()
));
hv_R1_Y = (hv_STD_R1_V_Row * (hv_Img_Rotate_Angle.TupleCos())) - (hv_STD_R1_V_Col * (hv_Img_Rotate_Angle.TupleSin()
));
//目前圖形 R1_ 位置
hv_R1_Pos_Row = (hv_STD_Row + hv_R1_Y) + hv_OffsetRow;
hv_R1_Pos_Col = (hv_STD_Col + hv_R1_X) + hv_OffsetCol;
hv_R1_R = 20;
//*ROI
ho_R1_Circle.Dispose();
HOperatorSet.GenCircle(out ho_R1_Circle, hv_R1_Pos_Row, hv_R1_Pos_Col, hv_R1_R);
ho_R1_ROI_Image.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_R1_Circle, out ho_R1_ROI_Image);
ho_R1_Region.Dispose();
HOperatorSet.FastThreshold(ho_R1_ROI_Image, out ho_R1_Region, 100, 255, 20);
ho_R1_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_R1_ROI_Image, ho_R1_Region, out ho_R1_ImageReduced
);
//sobel_fast 具有較寬的選擇範圍，搭配 alpha 參數 (alpha 越大, 容錯範圍大)
hv_alpha = 0.9;
hv_R1_low = 20;
hv_R1_high = 40;
ho_R1_Edges.Dispose();
HOperatorSet.EdgesSubPix(ho_R1_ImageReduced, out ho_R1_Edges, "sobel_fast",
hv_alpha, hv_R1_low, hv_R1_high);
//stop ()
//*所有的數值越小，表示容錯範圍大，反之亦然
ho_R1_ContoursSplit.Dispose();
HOperatorSet.SegmentContoursXld(ho_R1_Edges, out ho_R1_ContoursSplit, "lines_circles",
17, 1, 1);
//Display the results
//===========================================================
HOperatorSet.CountObj(ho_R1_ContoursSplit, out hv_R1_NumSegments);
hv_NumCircles = 0;
hv_Num_Circle_Point = 5;
hv_R1 = 999;
hv_R1_limit = 10;
for (hv_i = 1; hv_i.Continue(hv_R1_NumSegments, 1); hv_i = hv_i.TupleAdd(1))
{
ho_R1_SingleSegment.Dispose();
HOperatorSet.SelectObj(ho_R1_ContoursSplit, out ho_R1_SingleSegment, hv_i);
HOperatorSet.GetContourGlobalAttribXld(ho_R1_SingleSegment, "cont_approx", out hv_Attrib);
if ((int)(new HTuple(hv_Attrib.TupleEqual(1))) != 0)
{
HOperatorSet.FitCircleContourXld(ho_R1_SingleSegment, "atukey", -1, 2,
hv_Num_Circle_Point, 5, 2, out hv_R1_Row, out hv_R1_Column, out hv_R1_Radius,
out hv_R1_StartPhi, out hv_R1_EndPhi, out hv_R1_PointOrder);
//ho_R1_ContEllipse.Dispose();
//HOperatorSet.GenEllipseContourXld(out ho_R1_ContEllipse, hv_R1_Row, hv_R1_Column,
// 0, hv_R1_Radius, hv_R1_Radius, 0, (new HTuple(360)).TupleRad(), "positive",
// 1.0);
//HOperatorSet.DistEllipseContourXld(ho_R1_SingleSegment, "algebraic", -1,
// 0, hv_R1_Row, hv_R1_Column, 0, hv_R1_Radius, hv_R1_Radius, out hv_R1_MinDist,
// out hv_R1_MaxDist, out hv_R1_AvgDist, out hv_R1_SigmaDist);
hv_NumCircles = hv_NumCircles + 1;
if ((int)(new HTuple(hv_R1.TupleGreater(hv_R1_Radius))) != 0)
{
hv_R1 = hv_R1_Radius.Clone();
//hv_ResultText = (((("C" + hv_NumCircles) + ": Radius = ") + (hv_R1_Radius.TupleString(
// ".3"))) + " / MaxDeviation: ") + (hv_R1_MaxDist.TupleString(".3"));
//HOperatorSet.SetTposition(hv_WindowHandle, hv_R1_Pos_Row - hv_msgOffsetY,
// hv_R1_Pos_Col - hv_msgOffsetX);
//HOperatorSet.WriteString(hv_WindowHandle, "R1");
#region 組合結果
mResult = new CircleResult(new HTuple(hv_R1_Row)
, new HTuple(hv_R1_Column)
, new HTuple(hv_R1_Radius)
, new HTuple(hv_R1_StartPhi)
, new HTuple(hv_R1_EndPhi)
, new HTuple(hv_R1_PointOrder))
{
};
#endregion
}
}
}
hv_MeasureReasult = hv_R1.Clone();
//****R1 End
//ho_Image.Dispose();
ho_R1_Circle.Dispose();
ho_R1_ROI_Image.Dispose();
ho_R1_Region.Dispose();
ho_R1_ImageReduced.Dispose();
ho_R1_Edges.Dispose();
ho_R1_ContoursSplit.Dispose();
ho_R1_SingleSegment.Dispose();
//ho_R1_ContEllipse.Dispose();
return(mResult);
}
// Procedures
public void image_judge_sign_judge(HObject ho_RoiSign, HObject ho_OriImage, out HObject ho_SignFeat,
out HTuple hv_sign)
{
// Stack for temporary objects
HObject[] OTemp = new HObject[20];
// Local iconic variables
HObject ho_GrayImage, ho_ObjectSelected = null;
HObject ho_ImageReduced = null, ho_Edges = null;
// Local control variables
HTuple hv_SignNum = new HTuple(), hv_SignThreshold = new HTuple();
HTuple hv_Index = new HTuple(), hv_Length = new HTuple();
HTuple hv_Length1 = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_SignFeat);
HOperatorSet.GenEmptyObj(out ho_GrayImage);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Edges);
hv_sign = new HTuple();
//** Porg
//* Pre
ho_GrayImage.Dispose();
HOperatorSet.Rgb1ToGray(ho_OriImage, out ho_GrayImage);
//get_region_convex (ROI_0, Rows, Columns)
//* Judgement
ho_SignFeat.Dispose();
HOperatorSet.GenEmptyObj(out ho_SignFeat);
//SignNum := 4
hv_SignNum.Dispose();
HOperatorSet.CountObj(ho_RoiSign, out hv_SignNum);
hv_SignThreshold.Dispose();
hv_SignThreshold = 5.0;
HTuple end_val12 = hv_SignNum;
HTuple step_val12 = 1;
for (hv_Index = 1; hv_Index.Continue(end_val12, step_val12); hv_Index = hv_Index.TupleAdd(step_val12))
{
ho_ObjectSelected.Dispose();
HOperatorSet.SelectObj(ho_RoiSign, out ho_ObjectSelected, hv_Index);
//截取对应区域图片
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_GrayImage, ho_ObjectSelected, out ho_ImageReduced
);
//区域图片映射为轮廓
ho_Edges.Dispose();
HOperatorSet.EdgesSubPix(ho_ImageReduced, out ho_Edges, "canny", 1, 20, 40);
{
HObject ExpTmpOutVar_0;
HOperatorSet.ConcatObj(ho_Edges, ho_SignFeat, out ExpTmpOutVar_0);
ho_SignFeat.Dispose();
ho_SignFeat = ExpTmpOutVar_0;
}
//得到轮廓长度数组
hv_Length.Dispose();
HOperatorSet.LengthXld(ho_Edges, out hv_Length);
//云团数目大于五则有签字
hv_Length1.Dispose();
HOperatorSet.TupleLength(hv_Length, out hv_Length1);
if ((int)(new HTuple(hv_Length1.TupleGreater(hv_SignThreshold))) != 0)
{
if (hv_sign == null)
{
hv_sign = new HTuple();
}
hv_sign[hv_Index - 1] = 1;
}
else
{
if (hv_sign == null)
{
hv_sign = new HTuple();
}
hv_sign[hv_Index - 1] = 0;
}
}
ho_GrayImage.Dispose();
ho_ObjectSelected.Dispose();
ho_ImageReduced.Dispose();
ho_Edges.Dispose();
hv_SignNum.Dispose();
hv_SignThreshold.Dispose();
hv_Index.Dispose();
hv_Length.Dispose();
hv_Length1.Dispose();
return;
}
private void train_classifier(HTuple hv_DLClassifierHandle, HTuple hv_FileName,
HTuple hv_NumEpochs, HTuple hv_TrainingImages, HTuple hv_TrainingLabels, HTuple hv_ValidationImages,
HTuple hv_ValidationLabels, HTuple hv_LearningRateStepEveryNthEpoch, HTuple hv_LearningRateStepRatio,
HTuple hv_PlotEveryNthEpoch, HTuple hv_WindowHandle)
{
// Stack for temporary objects
HObject[] OTemp = new HObject[20];
// Local iconic variables
HObject ho_BatchImages = null;
// Local control variables
HTuple hv_TrainingErrors = new HTuple(), hv_ValidationErrors = new HTuple();
HTuple hv_LearningRates = new HTuple(), hv_Epochs = new HTuple();
HTuple hv_LossByIteration = new HTuple(), hv_BatchSize = new HTuple();
HTuple hv_MinValidationError = new HTuple(), hv_NumBatchesInEpoch = new HTuple();
HTuple hv_NumTotalIterations = new HTuple(), hv_PlottedIterations = new HTuple();
HTuple hv_TrainSequence = new HTuple(), hv_SelectPercentageTrainingImages = new HTuple();
HTuple hv_TrainingImagesSelected = new HTuple(), hv_TrainingLabelsSelected = new HTuple();
HTuple hv_Epoch = new HTuple(), hv_Iteration = new HTuple();
HTuple hv_BatchStart = new HTuple(), hv_BatchEnd = new HTuple();
HTuple hv_BatchIndices = new HTuple(), hv_BatchImageFiles = new HTuple();
HTuple hv_BatchLabels = new HTuple(), hv_GenParamName = new HTuple();
HTuple hv_GenParamValue = new HTuple(), hv_DLClassifierTrainResultHandle = new HTuple();
HTuple hv_Loss = new HTuple(), hv_CurrentIteration = new HTuple();
HTuple hv_TrainingDLClassifierResultIDs = new HTuple();
HTuple hv_ValidationDLClassifierResultIDs = new HTuple();
HTuple hv_TrainingTop1Error = new HTuple(), hv_ValidationTop1Error = new HTuple();
HTuple hv_LearningRate = new HTuple();
HTupleVector hvec_TrainingPredictedLabels = new HTupleVector(1);
HTupleVector hvec_TrainingConfidences = new HTupleVector(1);
HTupleVector hvec_ValidationPredictedLabels = new HTupleVector(1);
HTupleVector hvec_ValidationConfidences = new HTupleVector(1);
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_BatchImages);
try
{
//For the plot during training,
//we need to concatenate some intermediate results.
hv_TrainingErrors.Dispose();
hv_TrainingErrors = new HTuple();
hv_ValidationErrors.Dispose();
hv_ValidationErrors = new HTuple();
hv_LearningRates.Dispose();
hv_LearningRates = new HTuple();
hv_Epochs.Dispose();
hv_Epochs = new HTuple();
hv_LossByIteration.Dispose();
hv_LossByIteration = new HTuple();
hv_BatchSize.Dispose();
HOperatorSet.GetDlClassifierParam(hv_DLClassifierHandle, "batch_size", out hv_BatchSize);
hv_MinValidationError.Dispose();
hv_MinValidationError = 1;
//
//Create a tuple that includes all the iterations
//where the plot should be computed (including the last ieration).
hv_NumBatchesInEpoch.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_NumBatchesInEpoch = (((((new HTuple(hv_TrainingImages.TupleLength()
)) / (hv_BatchSize.TupleReal()))).TupleFloor())).TupleInt();
}
hv_NumTotalIterations.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_NumTotalIterations = (hv_NumBatchesInEpoch * hv_NumEpochs) - 1;
}
hv_PlottedIterations.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_PlottedIterations = ((((hv_NumBatchesInEpoch * HTuple.TupleGenSequence(
0, hv_NumEpochs - 1, hv_PlotEveryNthEpoch))).TupleConcat(hv_NumTotalIterations))).TupleRound()
;
}
//
//TrainSequence is used for easier indexing of the training data.
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_TrainSequence.Dispose();
HOperatorSet.TupleGenSequence(0, (new HTuple(hv_TrainingImages.TupleLength()
)) - 1, 1, out hv_TrainSequence);
}
//
//Select a subset of the training data set
//in order to obtain a fast approximation
//of the training error during training (plotting).
hv_SelectPercentageTrainingImages.Dispose();
hv_SelectPercentageTrainingImages = 100;
hv_TrainingImagesSelected.Dispose(); hv_TrainingLabelsSelected.Dispose();
select_percentage_dl_classifier_data(hv_TrainingImages, hv_TrainingLabels,
hv_SelectPercentageTrainingImages, out hv_TrainingImagesSelected, out hv_TrainingLabelsSelected);
//
HTuple end_val25 = hv_NumEpochs - 1;
HTuple step_val25 = 1;
#region
for (hv_Epoch = 0; hv_Epoch.Continue(end_val25, step_val25); hv_Epoch = hv_Epoch.TupleAdd(step_val25))
{
//In order to get randomness in each epoch,
//the training set is shuffled every epoch.
{
HTuple ExpTmpOutVar_0;
tuple_shuffle(hv_TrainSequence, out ExpTmpOutVar_0);
hv_TrainSequence.Dispose();
hv_TrainSequence = ExpTmpOutVar_0;
}
HTuple end_val29 = hv_NumBatchesInEpoch - 1;
HTuple step_val29 = 1;
for (hv_Iteration = 0; hv_Iteration.Continue(end_val29, step_val29); hv_Iteration = hv_Iteration.TupleAdd(step_val29))
{
//Select a batch from the training data set.
hv_BatchStart.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_BatchStart = hv_Iteration * hv_BatchSize;
}
hv_BatchEnd.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_BatchEnd = hv_BatchStart + (hv_BatchSize - 1);
}
hv_BatchIndices.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_BatchIndices = hv_TrainSequence.TupleSelectRange(
hv_BatchStart, hv_BatchEnd);
}
hv_BatchImageFiles.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_BatchImageFiles = hv_TrainingImages.TupleSelect(
hv_BatchIndices);
}
hv_BatchLabels.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_BatchLabels = hv_TrainingLabels.TupleSelect(
hv_BatchIndices);
}
//
//Read the image of the current batch.
ho_BatchImages.Dispose();
HOperatorSet.ReadImage(out ho_BatchImages, hv_BatchImageFiles);
//Augment the images to get a better variety of training images.
hv_GenParamName.Dispose();
hv_GenParamName = "mirror";
hv_GenParamValue.Dispose();
hv_GenParamValue = "rc";
{
HObject ExpTmpOutVar_0;
augment_images(ho_BatchImages, out ExpTmpOutVar_0, hv_GenParamName, hv_GenParamValue);
ho_BatchImages.Dispose();
ho_BatchImages = ExpTmpOutVar_0;
}
//
//Train the network with these images and ground truth labels.
hv_DLClassifierTrainResultHandle.Dispose();
HOperatorSet.TrainDlClassifierBatch(ho_BatchImages, hv_DLClassifierHandle,
hv_BatchLabels, out hv_DLClassifierTrainResultHandle);
//You can access the current value of the loss function,
//which should decrease during the training.
hv_Loss.Dispose();
HOperatorSet.GetDlClassifierTrainResult(hv_DLClassifierTrainResultHandle,
"loss", out hv_Loss);
//Store the loss in a tuple .
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
{
HTuple
ExpTmpLocalVar_LossByIteration = hv_LossByIteration.TupleConcat(
hv_Loss);
hv_LossByIteration.Dispose();
hv_LossByIteration = ExpTmpLocalVar_LossByIteration;
}
}
//
//In regular intervals, we want to evaluate
//how well our classifier performs.
hv_CurrentIteration.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_CurrentIteration = ((hv_Iteration + (hv_NumBatchesInEpoch * hv_Epoch))).TupleInt()
;
}
if ((int)(((hv_CurrentIteration.TupleEqualElem(hv_PlottedIterations))).TupleSum()
) != 0)
{
//Plot the progress regularly.
//Evaluate the current classifier on the training and validation set.
hv_TrainingDLClassifierResultIDs.Dispose(); hvec_TrainingPredictedLabels.Dispose(); hvec_TrainingConfidences.Dispose();
apply_dl_classifier_batchwise(hv_TrainingImagesSelected, hv_DLClassifierHandle,
out hv_TrainingDLClassifierResultIDs, out hvec_TrainingPredictedLabels,
out hvec_TrainingConfidences);
hv_ValidationDLClassifierResultIDs.Dispose(); hvec_ValidationPredictedLabels.Dispose(); hvec_ValidationConfidences.Dispose();
apply_dl_classifier_batchwise(hv_ValidationImages, hv_DLClassifierHandle,
out hv_ValidationDLClassifierResultIDs, out hvec_ValidationPredictedLabels,
out hvec_ValidationConfidences);
//Evaluate the top-1 error on each dataset.
hv_TrainingTop1Error.Dispose();
evaluate_dl_classifier(hv_TrainingLabelsSelected, hv_DLClassifierHandle,
hv_TrainingDLClassifierResultIDs, "top1_error", "global", out hv_TrainingTop1Error);
hv_ValidationTop1Error.Dispose();
evaluate_dl_classifier(hv_ValidationLabels, hv_DLClassifierHandle, hv_ValidationDLClassifierResultIDs,
"top1_error", "global", out hv_ValidationTop1Error);
//Concatenate the values for the plot.
hv_LearningRate.Dispose();
HOperatorSet.GetDlClassifierParam(hv_DLClassifierHandle, "learning_rate",
out hv_LearningRate);
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
{
HTuple
ExpTmpLocalVar_TrainingErrors = hv_TrainingErrors.TupleConcat(
hv_TrainingTop1Error);
hv_TrainingErrors.Dispose();
hv_TrainingErrors = ExpTmpLocalVar_TrainingErrors;
}
}
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
{
HTuple
ExpTmpLocalVar_ValidationErrors = hv_ValidationErrors.TupleConcat(
hv_ValidationTop1Error);
hv_ValidationErrors.Dispose();
hv_ValidationErrors = ExpTmpLocalVar_ValidationErrors;
}
}
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
{
HTuple
ExpTmpLocalVar_LearningRates = hv_LearningRates.TupleConcat(
hv_LearningRate);
hv_LearningRates.Dispose();
hv_LearningRates = ExpTmpLocalVar_LearningRates;
}
}
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
{
HTuple
ExpTmpLocalVar_Epochs = hv_Epochs.TupleConcat(
(hv_PlottedIterations.TupleSelect(new HTuple(hv_Epochs.TupleLength()
))) / (hv_NumBatchesInEpoch.TupleReal()));
hv_Epochs.Dispose();
hv_Epochs = ExpTmpLocalVar_Epochs;
}
}
//Plot validation and error against the epochs in order to
//observe the progress of the training.
plot_dl_classifier_training_progress(hv_TrainingErrors, hv_ValidationErrors, hv_LearningRates, hv_Epochs, hv_NumEpochs, hv_WindowHandle);
//如果上面绘制坐标系到窗体过程报错，搞不定的话就用下面这句代替，直接显示训练数据到窗体
//disp_training_progress_datas(hv_TrainingErrors, hv_ValidationErrors, hv_LearningRates, hv_Epochs, hv_NumEpochs, hv_WindowHandle);
if ((int)(new HTuple(hv_ValidationTop1Error.TupleLessEqual(hv_MinValidationError))) != 0)
{
HOperatorSet.WriteDlClassifier(hv_DLClassifierHandle, hv_FileName);
hv_MinValidationError.Dispose();
hv_MinValidationError = new HTuple(hv_ValidationTop1Error);
}
}
}
//Reduce the learning rate every nth epoch.
if ((int)(new HTuple((((hv_Epoch + 1) % hv_LearningRateStepEveryNthEpoch)).TupleEqual(
0))) != 0)
{
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
HOperatorSet.SetDlClassifierParam(hv_DLClassifierHandle, "learning_rate",
hv_LearningRate * hv_LearningRateStepRatio);
}
hv_LearningRate.Dispose();
HOperatorSet.GetDlClassifierParam(hv_DLClassifierHandle, "learning_rate",
out hv_LearningRate);
}
}
#endregion
// stop(...); only in hdevelop
ho_BatchImages.Dispose();
hv_TrainingErrors.Dispose();
hv_ValidationErrors.Dispose();
hv_LearningRates.Dispose();
hv_Epochs.Dispose();
hv_LossByIteration.Dispose();
hv_BatchSize.Dispose();
hv_MinValidationError.Dispose();
hv_NumBatchesInEpoch.Dispose();
hv_NumTotalIterations.Dispose();
hv_PlottedIterations.Dispose();
hv_TrainSequence.Dispose();
hv_SelectPercentageTrainingImages.Dispose();
hv_TrainingImagesSelected.Dispose();
hv_TrainingLabelsSelected.Dispose();
hv_Epoch.Dispose();
hv_Iteration.Dispose();
hv_BatchStart.Dispose();
hv_BatchEnd.Dispose();
hv_BatchIndices.Dispose();
hv_BatchImageFiles.Dispose();
hv_BatchLabels.Dispose();
hv_GenParamName.Dispose();
hv_GenParamValue.Dispose();
hv_DLClassifierTrainResultHandle.Dispose();
hv_Loss.Dispose();
hv_CurrentIteration.Dispose();
hv_TrainingDLClassifierResultIDs.Dispose();
hv_ValidationDLClassifierResultIDs.Dispose();
hv_TrainingTop1Error.Dispose();
hv_ValidationTop1Error.Dispose();
hv_LearningRate.Dispose();
hvec_TrainingPredictedLabels.Dispose();
hvec_TrainingConfidences.Dispose();
hvec_ValidationPredictedLabels.Dispose();
hvec_ValidationConfidences.Dispose();
return;
}
catch (HalconException HDevExpDefaultException)
{
ho_BatchImages.Dispose();
hv_TrainingErrors.Dispose();
hv_ValidationErrors.Dispose();
hv_LearningRates.Dispose();
hv_Epochs.Dispose();
hv_LossByIteration.Dispose();
hv_BatchSize.Dispose();
hv_MinValidationError.Dispose();
hv_NumBatchesInEpoch.Dispose();
hv_NumTotalIterations.Dispose();
hv_PlottedIterations.Dispose();
hv_TrainSequence.Dispose();
hv_SelectPercentageTrainingImages.Dispose();
hv_TrainingImagesSelected.Dispose();
hv_TrainingLabelsSelected.Dispose();
hv_Epoch.Dispose();
hv_Iteration.Dispose();
hv_BatchStart.Dispose();
hv_BatchEnd.Dispose();
hv_BatchIndices.Dispose();
hv_BatchImageFiles.Dispose();
hv_BatchLabels.Dispose();
hv_GenParamName.Dispose();
hv_GenParamValue.Dispose();
hv_DLClassifierTrainResultHandle.Dispose();
hv_Loss.Dispose();
hv_CurrentIteration.Dispose();
hv_TrainingDLClassifierResultIDs.Dispose();
hv_ValidationDLClassifierResultIDs.Dispose();
hv_TrainingTop1Error.Dispose();
hv_ValidationTop1Error.Dispose();
hv_LearningRate.Dispose();
hvec_TrainingPredictedLabels.Dispose();
hvec_TrainingConfidences.Dispose();
hvec_ValidationPredictedLabels.Dispose();
hvec_ValidationConfidences.Dispose();
throw HDevExpDefaultException;
}
}
// Main procedure
private void action()
{
// Local iconic variables
HObject ho_Image, ho_GrayImage3, ho_ImageGauss;
HObject ho_ModelContours = null, ho_TransContours = null, ho_Rectangle = null;
HObject ho_ImageReduced = null;
// Local control variables
HTuple hv_T1 = null, hv_CheckNO = null, hv_GODS = null;
HTuple hv_Minspec = null, hv_Setnumber = null, hv_ocvgod = null;
HTuple hv_RowPlus = null, hv_ColPlus = null, hv_path = null;
HTuple hv_FileHandle = null, hv_OutLine = null, hv_IsEOF = null;
HTuple hv_CheckNumber = null, hv_GreedinessNumber = null;
HTuple hv_Index = null, hv_checkNO = new HTuple(), hv_gods = new HTuple();
HTuple hv_Mins = new HTuple(), hv_Setn = new HTuple();
HTuple hv_ocvgodfile = new HTuple(), hv_Setocvchar = new HTuple();
HTuple hv_ocvchar = new HTuple(), hv_Setrowplus = new HTuple();
HTuple hv_Setcolplus = new HTuple(), hv_ModelID1 = null;
HTuple hv_ModelID2 = null, hv_ModelID3 = null, hv_ModelID4 = null;
HTuple hv_ModelID5 = null, hv_ModelID6 = null, hv_ModelIDs = null;
HTuple hv_Width = null, hv_Height = null, hv_WindowHandle = new HTuple();
HTuple hv_Index2 = null, hv_Row1 = new HTuple(), hv_Column1 = new HTuple();
HTuple hv_Row2 = new HTuple(), hv_Column2 = new HTuple();
HTuple hv_RefRow = new HTuple(), hv_RefColumn = new HTuple();
HTuple hv_HomMat2D = new HTuple(), hv_Row = new HTuple();
HTuple hv_Column = new HTuple(), hv_Angle = new HTuple();
HTuple hv_Score = new HTuple(), hv_I = new HTuple(), hv_OCVHandle = new HTuple();
HTuple hv_Quality = new HTuple(), hv_Index1 = new HTuple();
HTuple hv_T2 = null;
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Image);
HOperatorSet.GenEmptyObj(out ho_GrayImage3);
HOperatorSet.GenEmptyObj(out ho_ImageGauss);
HOperatorSet.GenEmptyObj(out ho_ModelContours);
HOperatorSet.GenEmptyObj(out ho_TransContours);
HOperatorSet.GenEmptyObj(out ho_Rectangle);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.CountSeconds(out hv_T1);
//**外部控制参数读入***
hv_CheckNO = new HTuple();
hv_GODS = new HTuple();
hv_Minspec = new HTuple();
hv_Setnumber = new HTuple();
hv_ocvgod = new HTuple();
hv_RowPlus = new HTuple();
hv_ColPlus = new HTuple();
hv_path = "matchingpara_fengwu_hougai.txt";
HOperatorSet.OpenFile(hv_path, "input", out hv_FileHandle);
HOperatorSet.FreadLine(hv_FileHandle, out hv_OutLine, out hv_IsEOF);
HOperatorSet.TupleNumber(((hv_OutLine.TupleSplit(new HTuple(",,,")))).TupleSelect(
0), out hv_CheckNumber);
HOperatorSet.TupleNumber(((hv_OutLine.TupleSplit(new HTuple(",,,")))).TupleSelect(
1), out hv_GreedinessNumber);
HTuple end_val15 = hv_CheckNumber - 1;
HTuple step_val15 = 1;
for (hv_Index = 0; hv_Index.Continue(end_val15, step_val15); hv_Index = hv_Index.TupleAdd(step_val15))
{
HOperatorSet.FreadLine(hv_FileHandle, out hv_OutLine, out hv_IsEOF);
HOperatorSet.TupleNumber(((hv_OutLine.TupleSplit(new HTuple(",,,")))).TupleSelect(
0), out hv_checkNO);
if (hv_CheckNO == null)
{
hv_CheckNO = new HTuple();
}
hv_CheckNO[hv_Index] = hv_checkNO;
HOperatorSet.TupleNumber(((hv_OutLine.TupleSplit(new HTuple(",,,")))).TupleSelect(
1), out hv_gods);
if (hv_GODS == null)
{
hv_GODS = new HTuple();
}
hv_GODS[hv_Index] = hv_gods;
HOperatorSet.TupleNumber(((hv_OutLine.TupleSplit(new HTuple(",,,")))).TupleSelect(
2), out hv_Mins);
if (hv_Minspec == null)
{
hv_Minspec = new HTuple();
}
hv_Minspec[hv_Index] = hv_Mins;
HOperatorSet.TupleNumber(((hv_OutLine.TupleSplit(new HTuple(",,,")))).TupleSelect(
3), out hv_Setn);
if (hv_Setnumber == null)
{
hv_Setnumber = new HTuple();
}
hv_Setnumber[hv_Index] = hv_Setn;
HOperatorSet.TupleNumber(((hv_OutLine.TupleSplit(new HTuple(",,,")))).TupleSelect(
4), out hv_ocvgodfile);
if (hv_ocvgod == null)
{
hv_ocvgod = new HTuple();
}
hv_ocvgod[hv_Index] = hv_ocvgodfile;
HOperatorSet.TupleNumber(((hv_OutLine.TupleSplit(new HTuple(",,,")))).TupleSelect(
5), out hv_Setocvchar);
if (hv_ocvchar == null)
{
hv_ocvchar = new HTuple();
}
hv_ocvchar[hv_Index] = hv_Setocvchar;
HOperatorSet.TupleNumber(((hv_OutLine.TupleSplit(new HTuple(",,,")))).TupleSelect(
6), out hv_Setrowplus);
if (hv_RowPlus == null)
{
hv_RowPlus = new HTuple();
}
hv_RowPlus[hv_Index] = hv_Setrowplus;
HOperatorSet.TupleNumber(((hv_OutLine.TupleSplit(new HTuple(",,,")))).TupleSelect(
7), out hv_Setcolplus);
if (hv_ColPlus == null)
{
hv_ColPlus = new HTuple();
}
hv_ColPlus[hv_Index] = hv_Setcolplus;
}
HOperatorSet.CloseFile(hv_FileHandle);
//**Log 文件创建***
HOperatorSet.OpenFile("matching_fengwu_result.csv", "output", out hv_FileHandle);
//**模板读入***
HOperatorSet.ReadShapeModel("god_fengwu/01_MOVIE_O.shm", out hv_ModelID1);
HOperatorSet.ReadShapeModel("god_fengwu/02_MENU_M.shm", out hv_ModelID2);
HOperatorSet.ReadShapeModel("god_fengwu/03_MOVIE_E.shm", out hv_ModelID3);
HOperatorSet.ReadShapeModel("god_fengwu/04_jiajian.shm", out hv_ModelID4);
HOperatorSet.ReadShapeModel("god_fengwu/05_C.shm", out hv_ModelID5);
HOperatorSet.ReadShapeModel("god_fengwu/06_MOVIE_V.shm", out hv_ModelID6);
hv_ModelIDs = new HTuple();
hv_ModelIDs = hv_ModelIDs.TupleConcat(hv_ModelID1);
hv_ModelIDs = hv_ModelIDs.TupleConcat(hv_ModelID2);
hv_ModelIDs = hv_ModelIDs.TupleConcat(hv_ModelID3);
hv_ModelIDs = hv_ModelIDs.TupleConcat(hv_ModelID4);
hv_ModelIDs = hv_ModelIDs.TupleConcat(hv_ModelID5);
hv_ModelIDs = hv_ModelIDs.TupleConcat(hv_ModelID6);
ho_Image.Dispose();
HOperatorSet.ReadImage(out ho_Image, "fw10.bmp");
HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
dev_open_window_fit_image(ho_Image, 0, 0, -1, -1, out hv_WindowHandle);
HOperatorSet.DispObj(ho_Image, hv_ExpDefaultWinHandle);
ho_GrayImage3.Dispose();
HOperatorSet.Rgb1ToGray(ho_Image, out ho_GrayImage3);
ho_ImageGauss.Dispose();
HOperatorSet.GaussImage(ho_Image, out ho_ImageGauss, 5);
HTuple end_val61 = hv_CheckNumber - 1;
HTuple step_val61 = 1;
int idx = 0;
for (hv_Index2 = 0; hv_Index2.Continue(end_val61, step_val61); hv_Index2 = hv_Index2.TupleAdd(step_val61))
{
//Matching 01: ************************************************
//Matching 01: BEGIN of generated code for model initialization
//Matching 01: ************************************************
HOperatorSet.SetSystem("border_shape_models", "false");
//
//Matching 01: Read the shape model from file
//
//Matching 01: Get the model contour for transforming it later into the image
ho_ModelContours.Dispose();
HOperatorSet.GetShapeModelContours(out ho_ModelContours, hv_ModelIDs.TupleSelect(
hv_Index2), 1);
//
//Matching 01: Set a reference position to show the model
HOperatorSet.SmallestRectangle1Xld(ho_ModelContours, out hv_Row1, out hv_Column1,
out hv_Row2, out hv_Column2);
hv_RefRow = ((hv_Row2.TupleMax()) - (hv_Row1.TupleMin())) / 2;
hv_RefColumn = ((hv_Column2.TupleMax()) - (hv_Column1.TupleMin())) / 2;
HOperatorSet.VectorAngleToRigid(0, 0, 0, hv_RefRow, hv_RefColumn, 0, out hv_HomMat2D);
ho_TransContours.Dispose();
HOperatorSet.AffineTransContourXld(ho_ModelContours, out ho_TransContours,
hv_HomMat2D);
//
//Matching 01: Display the model contours
HOperatorSet.SetColor(hv_ExpDefaultWinHandle, "green");
HOperatorSet.SetDraw(hv_ExpDefaultWinHandle, "margin");
HOperatorSet.DispObj(ho_TransContours, hv_ExpDefaultWinHandle);
//
//Matching 01: END of generated code for model initialization
//Matching 01: * * * * * * * * * * * * * * * * * * * * * * *
//Matching 01: BEGIN of generated code for model application
//
//Matching 01: Loop over all specified test images
//Matching 01: Find the model
HOperatorSet.FindShapeModel(ho_ImageGauss, hv_ModelIDs.TupleSelect(hv_Index2),
(new HTuple(0)).TupleRad(), (new HTuple(360)).TupleRad(), hv_Minspec.TupleSelect(
hv_Index2), hv_Setnumber.TupleSelect(hv_Index2), 0.5, "least_squares",
(new HTuple(3)).TupleConcat(1), hv_GreedinessNumber, out hv_Row, out hv_Column,
out hv_Angle, out hv_Score);
//
//Matching 01: Transform the model contours into the detected positions
HOperatorSet.DispObj(ho_Image, hv_ExpDefaultWinHandle);
for (hv_I = 0; (int)hv_I <= (int)((new HTuple(hv_Score.TupleLength())) - 1); hv_I = (int)hv_I + 1)
{
HOperatorSet.HomMat2dIdentity(out hv_HomMat2D);
HOperatorSet.HomMat2dRotate(hv_HomMat2D, hv_Angle.TupleSelect(hv_I), 0, 0,
out hv_HomMat2D);
HOperatorSet.HomMat2dTranslate(hv_HomMat2D, hv_Row.TupleSelect(hv_I), hv_Column.TupleSelect(
hv_I), out hv_HomMat2D);
ho_TransContours.Dispose();
HOperatorSet.AffineTransContourXld(ho_ModelContours, out ho_TransContours,
hv_HomMat2D);
//HOperatorSet.SetColor(hv_ExpDefaultWinHandle, "green");
// HOperatorSet.DispObj(ho_TransContours, hv_ExpDefaultWinHandle);
}
//
//Matching 01: Clear model when done
HOperatorSet.ClearShapeModel(hv_ModelIDs.TupleSelect(hv_Index2));
//Matching 01: *******************************************
//Matching 01: END of generated code for model application
//Matching 01: *******************************************
//
//
//**Matching Log数据写入外部文件***
if ((int)(new HTuple(hv_I.TupleEqual(hv_Setnumber.TupleSelect(hv_Index2)))) != 0)
{
HOperatorSet.ReadOcv(hv_ocvgod.TupleSelect(hv_Index2), out hv_OCVHandle);
ho_Rectangle.Dispose();
HOperatorSet.GenRectangle1(out ho_Rectangle, hv_Row - (hv_RowPlus.TupleSelect(
hv_Index2)), hv_Column - (hv_ColPlus.TupleSelect(hv_Index2)), hv_Row + (hv_RowPlus.TupleSelect(
hv_Index2)), hv_Column + (hv_ColPlus.TupleSelect(hv_Index2)));
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_ImageGauss, ho_Rectangle, out ho_ImageReduced
);
HOperatorSet.DoOcvSimple(ho_ImageReduced, hv_OCVHandle, hv_ocvchar.TupleSelect(
hv_Index2), "true", "true", "true", "true", 5, out hv_Quality);
cs_Quality[idx] = hv_Quality;
cs_x[idx] = hv_Column;
cs_y[idx] = hv_Row;
idx++;
HTuple end_val126 = hv_I;
HTuple step_val126 = 1;
for (hv_Index1 = 1; hv_Index1.Continue(end_val126, step_val126); hv_Index1 = hv_Index1.TupleAdd(step_val126))
{
HOperatorSet.FwriteString(hv_FileHandle, ((((((((((((hv_CheckNO.TupleSelect(
hv_Index2)) + new HTuple(",")) + (hv_GODS.TupleSelect(hv_Index2))) + new HTuple(",")) + "OK") + new HTuple(",")) + hv_I) + new HTuple(",")) + (hv_Score.TupleSelect(
hv_Index1 - 1))) + new HTuple(",")) + "Quality") + new HTuple(",")) + hv_Quality);
HOperatorSet.FnewLine(hv_FileHandle);
}
}
else
{
HOperatorSet.FwriteString(hv_FileHandle, ((((((((hv_CheckNO.TupleSelect(hv_Index2)) + new HTuple(",")) + (hv_GODS.TupleSelect(
hv_Index2))) + new HTuple(",")) + "NG") + new HTuple(",")) + hv_I) + new HTuple(",")) + (hv_Setnumber.TupleSelect(
hv_Index2)));
HOperatorSet.FnewLine(hv_FileHandle);
}
}
HOperatorSet.CountSeconds(out hv_T2);
HOperatorSet.FwriteString(hv_FileHandle, ("执行时间：" + (hv_T2 - hv_T1)) + "S");
HOperatorSet.CloseFile(hv_FileHandle);
ho_Image.Dispose();
ho_GrayImage3.Dispose();
ho_ImageGauss.Dispose();
ho_ModelContours.Dispose();
ho_TransContours.Dispose();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
}
//DateTime t1, t2, t3, t4,t5,t6,t7;
private void action()
{
HObject ho_Rectangle, ho_ImageReduced, imagexz, retxz;
HObject ho_Border, ho_Circle, ho_ImageReduced2, ho_Region, ho_RegionLines;
HObject ho_Rectangle1 = null, ho_ImageReduced1 = null, ho_Border1 = null;
HObject ho_SelectedContours = null;
// Local control variables
HTuple hv_Row1 = null, hv_Column1 = null, hv_Angle = null, hv_l1 = null, hv_l2 = null;
HTuple hv_Score = null, hv_zj = null, hv_Area = null, hv_Row3 = null;
HTuple hv_Column2 = null, hv_Phi1 = null, hv_zpj = null;
HTuple hv_zcj = null, hv_zpr = null, hv_zpc = null, hv_zcr = null;
HTuple hv_zcc = null, hv_Tp = null, hv_Tc = null, hv_Length = null;
HTuple hv_dx = null, hv_dn = null, hv_dxr = null, hv_dxc = null;
HTuple hv_dnr = null, hv_dnc = null, hv_i = null;
//HTuple hv_Col = new HTuple(), hv_dis = new HTuple(), hv_dxi = new HTuple(), hv_Row2 = new HTuple();
//HTuple hv_dni = new HTuple(), hv_Ix = new HTuple(), hv_In = new HTuple();
//HTuple hv_Exception = new HTuple(), hv_j = new HTuple(), hv_jh = new HTuple();
HTuple hv_disdxpx = null;
HTuple hv_disdnpx = null;
HTuple hv_djd = null, hv_djdr = null, hv_djdc = null, hv_djx = null;
HTuple hv_djxr = null, hv_djxc = null, hv_xjd = null, hv_xjdr = null;
HTuple hv_xjdc = null, hv_xjx = null, hv_xjxr = null, hv_xjxc = null;
HTuple hv_ljd = null, hv_ljx = null, hv_dj = null, hv_xj = null;
HTuple hv_djn = null, hv_djm = null, hv_xjn = null, hv_xjm = null;
HTuple hv_djzd = null, hv_djzx = null, hv_xjzd = null;
HTuple hv_xjzx = null, hv_ljtd = null, hv_ljtx = null;
HTuple hv_Length3 = null, hv_Length4 = null, hv_ljdx = null;
HTuple hv_ljdn = null, hv_ljxx = null, hv_ljxn = null;
HTuple hv_ljdm = null, hv_ljxm = null, hv_djiaodu = null;
HTuple hv_xjiaodu = null, hv_Length5 = null, hv_Length6 = null;
HTuple hv_djiaodu1 = null, hv_xjiaodu1 = null, hv_jjdd = null;
HTuple hv_jjdx = null, hv_jjxd = null, hv_jjxx = null;
HTuple hv_jjdm = null, hv_jjxm = null;
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Rectangle);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Border);
HOperatorSet.GenEmptyObj(out ho_Circle);
HOperatorSet.GenEmptyObj(out ho_ImageReduced2);
HOperatorSet.GenEmptyObj(out ho_Region);
HOperatorSet.GenEmptyObj(out ho_Rectangle1);
HOperatorSet.GenEmptyObj(out ho_ImageReduced1);
HOperatorSet.GenEmptyObj(out ho_Border1);
HOperatorSet.GenEmptyObj(out ho_SelectedContours);
HOperatorSet.GenEmptyObj(out ho_RegionLines);
HOperatorSet.GenEmptyObj(out imagexz);
HOperatorSet.GenEmptyObj(out retxz);
HOperatorSet.Union1(algorithm.Region, out RegionToDisp);
//t3 = DateTime.Now;
try
{
if (hv_ModelID == null)
{
HOperatorSet.ReadShapeModel(PathHelper.currentProductPath + @"\lwspmd.shm", out hv_ModelID);
}
retxz.Dispose();
HOperatorSet.GenRectangle2(out retxz, hv1_Row, hv1_Column, hv1_Phi, hv1_Length1, hv1_Length2);
imagexz.Dispose();
HOperatorSet.ReduceDomain(Image, retxz, out imagexz);
HOperatorSet.FindShapeModel(imagexz, hv_ModelID, -3.14, 6.29, 0.65, 0, 0.5,
"least_squares", 0, 0.8, out hv_Row1, out hv_Column1, out hv_Angle, out hv_Score);
hv_zj = (((((hv_Row1.TupleMax()) - (hv_Row1.TupleMin())) * ((hv_Row1.TupleMax()
) - (hv_Row1.TupleMin()))) + (((hv_Column1.TupleMax()) - (hv_Column1.TupleMin()
)) * ((hv_Column1.TupleMax()) - (hv_Column1.TupleMin()))))).TupleSqrt();
ho_Circle.Dispose();
HOperatorSet.GenCircle(out ho_Circle, hv_Row1.TupleMean(), hv_Column1.TupleMean()
, hv_zj / 2);
ho_ImageReduced2.Dispose();
HOperatorSet.ReduceDomain(Image, ho_Circle, out ho_ImageReduced2);
ho_Region.Dispose();
HOperatorSet.Threshold(ho_ImageReduced2, out ho_Region, 0, thv);
HOperatorSet.AreaCenter(ho_Region, out hv_Area, out hv_Row3, out hv_Column2);
HOperatorSet.OrientationRegion(ho_Region, out hv_Phi1);
hv_zpj = hv_Phi1.Clone();
hv_zcj = hv_Phi1 + ((new HTuple(90)).TupleRad());
hv_zpr = hv_Row3 + ((hv_zcj.TupleSin()) * hv_zj);
hv_zpc = hv_Column2 - ((hv_zcj.TupleCos()) * hv_zj);
hv_zcr = hv_Row3 + ((hv_zpj.TupleSin()) * hv_zj);
hv_zcc = hv_Row3 - ((hv_zpj.TupleCos()) * hv_zj);
HOperatorSet.TupleTan(hv_zpj, out hv_Tp);
HOperatorSet.TupleTan(hv_zcj, out hv_Tc);
HOperatorSet.TupleLength(hv_Row1, out hv_Length);
hv_dx = new HTuple();
hv_dn = new HTuple();
hv_dxr = new HTuple();
hv_dxc = new HTuple();
hv_dnr = new HTuple();
hv_dnc = new HTuple();
HTuple end_val29 = hv_Length - 1;
HTuple step_val29 = 1;
for (hv_i = 0; hv_i.Continue(end_val29, step_val29); hv_i = hv_i.TupleAdd(step_val29))
{
//try
ho_Rectangle1.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle1, hv_Row1.TupleSelect(hv_i),
hv_Column1.TupleSelect(hv_i), hv_Phi + (hv_Angle.TupleSelect(hv_i)),
hv_Length1, hv_Length2);
ho_ImageReduced1.Dispose();
HOperatorSet.ReduceDomain(Image, ho_Rectangle1, out ho_ImageReduced1
);
ho_Border1.Dispose();
HOperatorSet.ThresholdSubPix(ho_ImageReduced1, out ho_Border1, thv);
ho_SelectedContours.Dispose();
HOperatorSet.SelectContoursXld(ho_Border1, out ho_SelectedContours, "contour_length",
30, 2000000, -0.5, 0.5);
HOperatorSet.UnionAdjacentContoursXld(ho_SelectedContours, out ho_SelectedContours, 10, 1, "attr_keep");
HOperatorSet.GetContourXld(ho_SelectedContours, out hv_Row2, out hv_Col);
hv_dis = ((((((hv_Tp * hv_Col) + hv_Row2) - (hv_Tp * hv_zpc)) - hv_zpr) / (((1 + (hv_Tp * hv_Tp))).TupleSqrt()
))).TupleAbs();
hv_dxi = hv_dis.TupleMax();
hv_dni = hv_dis.TupleMin();
HOperatorSet.TupleFind(hv_dis, hv_dxi, out hv_Ix);
HOperatorSet.TupleFind(hv_dis, hv_dni, out hv_In);
hv_dx = hv_dx.TupleConcat(hv_dxi);
hv_dn = hv_dn.TupleConcat(hv_dni);
hv_dxr = hv_dxr.TupleConcat(hv_Row2.TupleSelect(hv_Ix));
hv_dxc = hv_dxc.TupleConcat(hv_Col.TupleSelect(hv_Ix));
hv_dnr = hv_dnr.TupleConcat(hv_Row2.TupleSelect(hv_In));
hv_dnc = hv_dnc.TupleConcat(hv_Col.TupleSelect(hv_In));
//catch (Exception)
//endtry
//stop ()
}
hv_disdxpx = ((((((hv_Tc * hv_dxc) + hv_dxr) - (hv_Tc * hv_zcc)) - hv_zcr) / (((1 + (hv_Tc * hv_Tc))).TupleSqrt()
))).TupleAbs();
hv_disdnpx = ((((((hv_Tc * hv_dnc) + hv_dnr) - (hv_Tc * hv_zcc)) - hv_zcr) / (((1 + (hv_Tc * hv_Tc))).TupleSqrt()
))).TupleAbs();
HTuple end_val55 = hv_Length - 2;
HTuple step_val55 = 1;
//t1 = DateTime.Now;
for (hv_i = 0; hv_i.Continue(end_val55, step_val55); hv_i = hv_i.TupleAdd(step_val55))
{
//try
HTuple end_val59 = hv_Length - 1;
HTuple step_val59 = 1;
for (hv_j = hv_i + 1; hv_j.Continue(end_val59, step_val59); hv_j = hv_j.TupleAdd(step_val59))
{
if ((int)(new HTuple(((hv_disdxpx.TupleSelect(hv_i))).TupleGreater(hv_disdxpx.TupleSelect(
hv_j)))) != 0)
{
hv_jh = hv_disdxpx.TupleSelect(hv_i);
if (hv_disdxpx == null)
{
hv_disdxpx = new HTuple();
}
hv_disdxpx[hv_i] = hv_disdxpx.TupleSelect(hv_j);
if (hv_disdxpx == null)
{
hv_disdxpx = new HTuple();
}
hv_disdxpx[hv_j] = hv_jh;
hv_jh = hv_dx.TupleSelect(hv_i);
if (hv_dx == null)
{
hv_dx = new HTuple();
}
hv_dx[hv_i] = hv_dx.TupleSelect(hv_j);
if (hv_dx == null)
{
hv_dx = new HTuple();
}
hv_dx[hv_j] = hv_jh;
hv_jh = hv_dxr.TupleSelect(hv_i);
if (hv_dxr == null)
{
hv_dxr = new HTuple();
}
hv_dxr[hv_i] = hv_dxr.TupleSelect(hv_j);
if (hv_dxr == null)
{
hv_dxr = new HTuple();
}
hv_dxr[hv_j] = hv_jh;
hv_jh = hv_dxc.TupleSelect(hv_i);
if (hv_dxc == null)
{
hv_dxc = new HTuple();
}
hv_dxc[hv_i] = hv_dxc.TupleSelect(hv_j);
if (hv_dxc == null)
{
hv_dxc = new HTuple();
}
hv_dxc[hv_j] = hv_jh;
}
if ((int)(new HTuple(((hv_disdnpx.TupleSelect(hv_i))).TupleGreater(hv_disdnpx.TupleSelect(
hv_j)))) != 0)
{
hv_jh = hv_disdnpx.TupleSelect(hv_i);
if (hv_disdnpx == null)
{
hv_disdnpx = new HTuple();
}
hv_disdnpx[hv_i] = hv_disdnpx.TupleSelect(hv_j);
if (hv_disdnpx == null)
{
hv_disdnpx = new HTuple();
}
hv_disdnpx[hv_j] = hv_jh;
hv_jh = hv_dn.TupleSelect(hv_i);
if (hv_dn == null)
{
hv_dn = new HTuple();
}
hv_dn[hv_i] = hv_dn.TupleSelect(hv_j);
if (hv_dn == null)
{
hv_dn = new HTuple();
}
hv_dn[hv_j] = hv_jh;
hv_jh = hv_dnr.TupleSelect(hv_i);
if (hv_dnr == null)
{
hv_dnr = new HTuple();
}
hv_dnr[hv_i] = hv_dnr.TupleSelect(hv_j);
if (hv_dnr == null)
{
hv_dnr = new HTuple();
}
hv_dnr[hv_j] = hv_jh;
hv_jh = hv_dnc.TupleSelect(hv_i);
if (hv_dnc == null)
{
hv_dnc = new HTuple();
}
hv_dnc[hv_i] = hv_dnc.TupleSelect(hv_j);
if (hv_dnc == null)
{
hv_dnc = new HTuple();
}
hv_dnc[hv_j] = hv_jh;
}
}
//catch (Exception)
//endtry
}
//t2 = DateTime.Now;
hv_djd = new HTuple();
hv_djdr = new HTuple();
hv_djdc = new HTuple();
hv_djx = new HTuple();
hv_djxr = new HTuple();
hv_djxc = new HTuple();
hv_xjd = new HTuple();
hv_xjdr = new HTuple();
hv_xjdc = new HTuple();
hv_xjx = new HTuple();
hv_xjxr = new HTuple();
hv_xjxc = new HTuple();
hv_ljd = new HTuple();
hv_ljx = new HTuple();
HTuple end_val107 = hv_Length - 1;
HTuple step_val107 = 1;
for (hv_i = 0; hv_i.Continue(end_val107, step_val107); hv_i = hv_i.TupleAdd(step_val107))
{
if ((int)(new HTuple(((hv_dx.TupleSelect(hv_i))).TupleGreater(hv_zj))) != 0)
{
for (hv_j = -3; (int)hv_j <= 3; hv_j = (int)hv_j + 1)
{
if (((hv_i + hv_j) >= 0) && ((hv_i + hv_j) <= end_val107))
{
if ((int)((new HTuple(((hv_disdnpx.TupleSelect(hv_i + hv_j))).TupleGreater(
hv_disdxpx.TupleSelect(hv_i)))).TupleAnd(new HTuple(((hv_dn.TupleSelect(
hv_i + hv_j))).TupleLess(hv_zj)))) != 0)
{
hv_ljd = hv_ljd.TupleConcat(hv_disdxpx.TupleSelect(hv_i));
hv_djd = hv_djd.TupleConcat(hv_dx.TupleSelect(hv_i));
hv_djdr = hv_djdr.TupleConcat(hv_dxr.TupleSelect(hv_i));
hv_djdc = hv_djdc.TupleConcat(hv_dxc.TupleSelect(hv_i));
hv_djx = hv_djx.TupleConcat(hv_dn.TupleSelect(hv_i + hv_j));
hv_djxr = hv_djxr.TupleConcat(hv_dnr.TupleSelect(hv_i + hv_j));
hv_djxc = hv_djxc.TupleConcat(hv_dnc.TupleSelect(hv_i + hv_j));
break;
}
}
// catch (Exception)
//catch (HalconException)
//{
// //HDevExpDefaultException1.ToHTuple(out hv_Exception);
//}
}
}
if ((int)(new HTuple(((hv_dn.TupleSelect(hv_i))).TupleGreater(hv_zj))) != 0)
{
for (hv_j = -3; (int)hv_j <= 3; hv_j = (int)hv_j + 1)
{
//try
if (((hv_i + hv_j) >= 0) && ((hv_i + hv_j) <= end_val107))
{
if ((int)((new HTuple(((hv_disdxpx.TupleSelect(hv_i + hv_j))).TupleGreater(
hv_disdnpx.TupleSelect(hv_i)))).TupleAnd(new HTuple(((hv_dx.TupleSelect(
hv_i + hv_j))).TupleLess(hv_zj)))) != 0)
{
hv_ljx = hv_ljx.TupleConcat(hv_disdnpx.TupleSelect(hv_i));
hv_xjd = hv_xjd.TupleConcat(hv_dn.TupleSelect(hv_i));
hv_xjdr = hv_xjdr.TupleConcat(hv_dnr.TupleSelect(hv_i));
hv_xjdc = hv_xjdc.TupleConcat(hv_dnc.TupleSelect(hv_i));
hv_xjx = hv_xjx.TupleConcat(hv_dx.TupleSelect(hv_i + hv_j));
hv_xjxr = hv_xjxr.TupleConcat(hv_dxr.TupleSelect(hv_i + hv_j));
hv_xjxc = hv_xjxc.TupleConcat(hv_dxc.TupleSelect(hv_i + hv_j));
break;
}
}
// catch (Exception)
//catch (HalconException)
//{
// //HDevExpDefaultException1.ToHTuple(out hv_Exception);
//}
}
}
}
HOperatorSet.TupleLength(hv_ljd, out hv_l1);
HTuple end_val153 = 1;
HTuple step_val153 = -1;
for (hv_i = hv_l1 - 1; hv_i.Continue(end_val153, step_val153); hv_i = hv_i.TupleAdd(step_val153))
{
if ((int)(new HTuple(((hv_ljd.TupleSelect(hv_i))).TupleEqual(hv_ljd.TupleSelect(
hv_i - 1)))) != 0)
{
HOperatorSet.TupleRemove(hv_ljd, hv_i, out hv_ljd);
HOperatorSet.TupleRemove(hv_djd, hv_i, out hv_djd);
HOperatorSet.TupleRemove(hv_djdr, hv_i, out hv_djdr);
HOperatorSet.TupleRemove(hv_djdc, hv_i, out hv_djdc);
HOperatorSet.TupleRemove(hv_djx, hv_i, out hv_djx);
HOperatorSet.TupleRemove(hv_djxr, hv_i, out hv_djxr);
HOperatorSet.TupleRemove(hv_djxc, hv_i, out hv_djxc);
}
}
HOperatorSet.TupleLength(hv_ljx, out hv_l2);
HTuple end_val165 = 1;
HTuple step_val165 = -1;
for (hv_i = hv_l2 - 1; hv_i.Continue(end_val165, step_val165); hv_i = hv_i.TupleAdd(step_val165))
{
if ((int)(new HTuple(((hv_ljd.TupleSelect(hv_i))).TupleEqual(hv_ljd.TupleSelect(
hv_i - 1)))) != 0)
{
HOperatorSet.TupleRemove(hv_ljx, hv_i, out hv_ljx);
HOperatorSet.TupleRemove(hv_xjd, hv_i, out hv_xjd);
HOperatorSet.TupleRemove(hv_xjdr, hv_i, out hv_xjdr);
HOperatorSet.TupleRemove(hv_xjdc, hv_i, out hv_xjdc);
HOperatorSet.TupleRemove(hv_xjx, hv_i, out hv_xjx);
HOperatorSet.TupleRemove(hv_xjxr, hv_i, out hv_xjxr);
HOperatorSet.TupleRemove(hv_xjxc, hv_i, out hv_xjxc);
}
}
HOperatorSet.TupleLength(hv_ljx, out hv_l2);
HOperatorSet.TupleLength(hv_ljd, out hv_l1);
//t5 = DateTime.Now;
hv_dj = hv_djd - hv_djx;
hv_xj = hv_xjd - hv_xjx;
hv_djx = hv_dj.TupleMax();
hv_djn = hv_dj.TupleMin();
hv_djm = hv_dj.TupleMean();
hv_xjx = hv_xj.TupleMax();
hv_xjn = hv_xj.TupleMin();
hv_xjm = hv_xj.TupleMean();
hv_djzd = (hv_djd.TupleMax()) - (hv_djx.TupleMin());
hv_djzx = (hv_djd.TupleMin()) - (hv_djx.TupleMax());
hv_xjzd = (hv_xjd.TupleMax()) - (hv_xjx.TupleMin());
hv_xjzx = (hv_xjd.TupleMin()) - (hv_xjx.TupleMax());
hv_ljtd = (hv_ljd.TupleConcat(0)) - ((new HTuple(0)).TupleConcat(hv_ljd));
hv_ljtx = (hv_ljx.TupleConcat(0)) - ((new HTuple(0)).TupleConcat(hv_ljx));
HOperatorSet.TupleLength(hv_ljtd, out hv_Length3);
HOperatorSet.TupleLength(hv_ljtx, out hv_Length4);
hv_ljtd = hv_ljtd.TupleSelectRange(1, hv_Length3 - 2);
hv_ljtx = hv_ljtx.TupleSelectRange(1, hv_Length4 - 2);
hv_ljdx = hv_ljtd.TupleMax();
hv_ljdn = hv_ljtd.TupleMin();
hv_ljxx = hv_ljtx.TupleMax();
hv_ljxn = hv_ljtx.TupleMin();
hv_ljdm = hv_ljtd.TupleMean();
hv_ljxm = hv_ljtx.TupleMean();
HOperatorSet.TupleAtan((hv_djxr - hv_djdr) / (hv_djdc - hv_djxc), out hv_djiaodu);
HOperatorSet.TupleAtan((hv_xjxr - hv_xjdr) / (hv_xjdc - hv_xjxc), out hv_xjiaodu);
HOperatorSet.TupleLength(hv_djiaodu, out hv_Length5);
HOperatorSet.TupleLength(hv_xjiaodu, out hv_Length6);
hv_djiaodu1 = ((hv_djiaodu - hv_zcj)).TupleAbs();
hv_xjiaodu1 = ((hv_xjiaodu - hv_zcj)).TupleAbs();
HTuple end_val177 = hv_Length5 - 1;
HTuple step_val177 = 1;
//t6 = DateTime.Now;
for (hv_i = 0; hv_i.Continue(end_val177, step_val177); hv_i = hv_i.TupleAdd(step_val177))
{
while ((int)(new HTuple(hv_djiaodu1.TupleGreater((new HTuple(90)).TupleRad()
))) != 0)
{
hv_djiaodu1 = hv_djiaodu1 - ((new HTuple(90)).TupleRad());
}
if ((int)(new HTuple(hv_djiaodu1.TupleGreater((new HTuple(45)).TupleRad()
))) != 0)
{
hv_djiaodu1 = (-hv_djiaodu1) + ((new HTuple(90)).TupleRad());
}
}
HTuple end_val185 = hv_Length6 - 1;
HTuple step_val185 = 1;
for (hv_i = 0; hv_i.Continue(end_val185, step_val185); hv_i = hv_i.TupleAdd(step_val185))
{
while ((int)(new HTuple(hv_xjiaodu1.TupleGreater((new HTuple(90)).TupleRad()
))) != 0)
{
hv_xjiaodu1 = hv_xjiaodu1 - ((new HTuple(90)).TupleRad());
}
if ((int)(new HTuple(hv_xjiaodu1.TupleGreater((new HTuple(45)).TupleRad()
))) != 0)
{
hv_xjiaodu1 = (-hv_xjiaodu1) + ((new HTuple(90)).TupleRad());
}
}
hv_jjdd = hv_djiaodu1.TupleMax().TupleDeg();
hv_jjdx = hv_djiaodu1.TupleMin().TupleDeg();
hv_jjxd = hv_xjiaodu1.TupleMax().TupleDeg();
hv_jjxx = hv_xjiaodu1.TupleMin().TupleDeg();
hv_jjdm = hv_djiaodu1.TupleMean().TupleDeg();
hv_jjxm = hv_xjiaodu1.TupleMean().TupleDeg();
ho_RegionLines.Dispose();
HOperatorSet.GenRegionLine(out ho_RegionLines, hv_djdr, hv_djdc, hv_djxr, hv_djxc);
HOperatorSet.Union2(ho_RegionLines, ho_RegionLines, out RegionToDisp);
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("螺纹条数1");
hv_result = hv_result.TupleConcat(hv_l1);
hv_result = hv_result.TupleConcat("螺纹条数2");
hv_result = hv_result.TupleConcat(hv_l2);
hv_result = hv_result.TupleConcat("大径最大值");
hv_result = hv_result.TupleConcat(hv_djx.D * pixeldist);
hv_result = hv_result.TupleConcat("大径最小值");
hv_result = hv_result.TupleConcat(hv_djn.D * pixeldist);
hv_result = hv_result.TupleConcat("大径平均值");
hv_result = hv_result.TupleConcat(hv_djm.D * pixeldist);
hv_result = hv_result.TupleConcat("小径最大值");
hv_result = hv_result.TupleConcat(hv_xjx.D * pixeldist);
hv_result = hv_result.TupleConcat("小径最小值");
hv_result = hv_result.TupleConcat(hv_xjn.D * pixeldist);
hv_result = hv_result.TupleConcat("小径平均值");
hv_result = hv_result.TupleConcat(hv_xjm.D * pixeldist);
hv_result = hv_result.TupleConcat("整体大径最大值");
hv_result = hv_result.TupleConcat(hv_djzd.D * pixeldist);
hv_result = hv_result.TupleConcat("整体大径最小值");
hv_result = hv_result.TupleConcat(hv_djzx.D * pixeldist);
hv_result = hv_result.TupleConcat("整体小径最大值");
hv_result = hv_result.TupleConcat(hv_xjzd.D * pixeldist);
hv_result = hv_result.TupleConcat("整体小径最小值");
hv_result = hv_result.TupleConcat(hv_xjzx.D * pixeldist);
hv_result = hv_result.TupleConcat("螺距最大值");
hv_result = hv_result.TupleConcat(hv_ljdx.D * pixeldist);
hv_result = hv_result.TupleConcat("螺距最小值");
hv_result = hv_result.TupleConcat(hv_ljdn.D * pixeldist);
hv_result = hv_result.TupleConcat("螺距平均值");
hv_result = hv_result.TupleConcat(hv_ljdm.D * pixeldist);
hv_result = hv_result.TupleConcat("角度最大值");
hv_result = hv_result.TupleConcat(hv_jjdd.D);
hv_result = hv_result.TupleConcat("角度最大值");
hv_result = hv_result.TupleConcat(hv_jjdx.D);
hv_result = hv_result.TupleConcat("角度平均值");
hv_result = hv_result.TupleConcat(hv_jjdm.D);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Border.Dispose();
ho_Circle.Dispose();
ho_ImageReduced2.Dispose();
ho_Region.Dispose();
ho_Rectangle1.Dispose();
ho_ImageReduced1.Dispose();
ho_Border1.Dispose();
ho_SelectedContours.Dispose();
imagexz.Dispose();
retxz.Dispose();
ho_RegionLines.Dispose();
algorithm.Region.Dispose();
//t4 = DateTime.Now;
}
catch
{
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("螺纹条数1");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("螺纹条数2");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("大径最大值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("大径最小值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("大径平均值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("小径最大值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("小径最小值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("小径平均值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("整体大径最大值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("整体大径最小值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("整体小径最大值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("整体小径最小值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("螺距最大值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("螺距最小值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("螺距平均值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("角度最大值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("角度最大值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("角度平均值");
hv_result = hv_result.TupleConcat(0);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Border.Dispose();
ho_Circle.Dispose();
ho_ImageReduced2.Dispose();
ho_Region.Dispose();
ho_Rectangle1.Dispose();
ho_ImageReduced1.Dispose();
ho_Border1.Dispose();
ho_SelectedContours.Dispose();
imagexz.Dispose();
retxz.Dispose();
ho_RegionLines.Dispose();
algorithm.Region.Dispose();
}
}
private void action()
{
HObject ho_Rectangle, ho_ImageReduced;
HObject ho_Border, ho_Region, ho_RegionUnion;
HTuple hv_RowBegin = null;
HTuple hv_ColBegin = null, hv_RowEnd = null, hv_ColEnd = null;
HTuple hv_Nr = null, hv_Nc = null, hv_Dist = null, hv_dis = null;
HTuple hv_Length = null, hv_i = null, hv_j = new HTuple();
HTuple hv_temp = new HTuple(), hv_dianr = null, hv_dianc = null;
HTuple hv_t = null, hv_jl = null;
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Rectangle);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Border);
HOperatorSet.GenEmptyObj(out ho_Region);
HOperatorSet.GenEmptyObj(out ho_RegionUnion);
try
{
ho_Rectangle.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle, hv_centerRowm, hv_centerColumnm, hv_Phim, hv_Length1m,
hv_Length2m);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(Image, ho_Rectangle, out ho_ImageReduced);
ho_Border.Dispose();
HOperatorSet.ThresholdSubPix(ho_ImageReduced, out ho_Border, thv);
HOperatorSet.FitLineContourXld(ho_Border, "tukey", -1, 0, 5, 2, out hv_RowBegin,
out hv_ColBegin, out hv_RowEnd, out hv_ColEnd, out hv_Nr, out hv_Nc, out hv_Dist);
hv_dis = ((((hv_RowBegin - hv_RowEnd) * (hv_RowBegin - hv_RowEnd)) + ((hv_ColBegin - hv_ColEnd) * (hv_ColBegin - hv_ColEnd)))).TupleSqrt()
;
HOperatorSet.TupleLength(hv_dis, out hv_Length);
if (hv_Length.I >= 2)
{
HTuple end_val8 = hv_Length - 2;
HTuple step_val8 = 1;
for (hv_i = 0; hv_i.Continue(end_val8, step_val8); hv_i = hv_i.TupleAdd(step_val8))
{
HTuple end_val9 = hv_Length - 1;
HTuple step_val9 = 1;
for (hv_j = hv_i + 1; hv_j.Continue(end_val9, step_val9); hv_j = hv_j.TupleAdd(step_val9))
{
if ((int)(new HTuple(((hv_dis.TupleSelect(hv_i))).TupleLess(hv_dis.TupleSelect(
hv_j)))) != 0)
{
hv_temp = hv_dis.TupleSelect(hv_i);
if (hv_dis == null)
{
hv_dis = new HTuple();
}
hv_dis[hv_i] = hv_dis.TupleSelect(hv_j);
if (hv_dis == null)
{
hv_dis = new HTuple();
}
hv_dis[hv_j] = hv_temp;
hv_temp = hv_RowBegin.TupleSelect(hv_i);
if (hv_RowBegin == null)
{
hv_RowBegin = new HTuple();
}
hv_RowBegin[hv_i] = hv_RowBegin.TupleSelect(hv_j);
if (hv_RowBegin == null)
{
hv_RowBegin = new HTuple();
}
hv_RowBegin[hv_j] = hv_temp;
hv_temp = hv_ColBegin.TupleSelect(hv_i);
if (hv_ColBegin == null)
{
hv_ColBegin = new HTuple();
}
hv_ColBegin[hv_i] = hv_ColBegin.TupleSelect(hv_j);
if (hv_ColBegin == null)
{
hv_ColBegin = new HTuple();
}
hv_ColBegin[hv_j] = hv_temp;
hv_temp = hv_RowEnd.TupleSelect(hv_i);
if (hv_RowEnd == null)
{
hv_RowEnd = new HTuple();
}
hv_RowEnd[hv_i] = hv_RowEnd.TupleSelect(hv_j);
if (hv_RowEnd == null)
{
hv_RowEnd = new HTuple();
}
hv_RowEnd[hv_j] = hv_temp;
hv_temp = hv_ColEnd.TupleSelect(hv_i);
if (hv_ColEnd == null)
{
hv_ColEnd = new HTuple();
}
hv_ColEnd[hv_i] = hv_ColEnd.TupleSelect(hv_j);
if (hv_ColEnd == null)
{
hv_ColEnd = new HTuple();
}
hv_ColEnd[hv_j] = hv_temp;
}
}
}
hv_dianr = ((hv_RowBegin.TupleSelect(0)) + (hv_RowEnd.TupleSelect(0))) / 2;
hv_dianc = ((hv_ColBegin.TupleSelect(0)) + (hv_ColEnd.TupleSelect(0))) / 2;
hv_t = ((-(hv_RowBegin.TupleSelect(1))) + (hv_RowEnd.TupleSelect(1))) / ((hv_ColBegin.TupleSelect(
1)) - (hv_ColEnd.TupleSelect(1)));
hv_jl = ((((((hv_t * hv_dianc) + hv_dianr) - (hv_RowBegin.TupleSelect(1))) - ((hv_ColBegin.TupleSelect(
1)) * hv_t)) / ((((hv_t * hv_t) + 1)).TupleSqrt()))).TupleAbs();
ho_Region.Dispose();
HOperatorSet.GenRegionContourXld(ho_Border, out ho_Region, "filled");
ho_RegionUnion.Dispose();
HOperatorSet.Union2(ho_Region, ho_Region, out RegionToDisp);
}
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("ParallelDistance");
hv_result = hv_result.TupleConcat(hv_jl.D * pixeldist);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Border.Dispose();
ho_Region.Dispose();
ho_RegionUnion.Dispose();
}
catch
{
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("ParallelDistance");
hv_result = hv_result.TupleConcat(0);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Border.Dispose();
ho_Region.Dispose();
ho_RegionUnion.Dispose();
}
}
private void porosityVertical()
{
// Local iconic variables
HObject ho_Image = null, ho_Rectangle = null, ho_Circle = null;
HObject ho_RegionUnion = null, ho_ImageReduced = null, ho_ImageMean = null;
HObject ho_Region = null, ho_ConnectedRegions = null, ho_RegionClosing = null;
HObject ho_SmallConnection = null, ho_ContCircle = null;
// Local control variables
HTuple hv_AcqHandle = null, hv_found = null;
HTuple hv_cnt = null, hv_bol = null, hv_porosity_area_px = null;
HTuple hv_porosity_area_mm = null;
HTuple hv_UsedThreshold = new HTuple(), hv_Circularity = new HTuple();
HTuple hv_Area = new HTuple(), hv_Row = new HTuple(), hv_Column = new HTuple();
HTuple hv_Length = new HTuple(), hv_circ_min = new HTuple();
HTuple hv_area_min = new HTuple(), hv_index = new HTuple();
HTuple hv_i = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Image);
HOperatorSet.GenEmptyObj(out ho_Rectangle);
HOperatorSet.GenEmptyObj(out ho_Circle);
HOperatorSet.GenEmptyObj(out ho_RegionUnion);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_ImageMean);
HOperatorSet.GenEmptyObj(out ho_Region);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_RegionClosing);
HOperatorSet.GenEmptyObj(out ho_SmallConnection);
HOperatorSet.GenEmptyObj(out ho_ContCircle);
// Wait for CAM4 thread to be closed
_waitHandleCam2.WaitOne();
// Close te thread DOOR
_waitHandleCam2.Reset();
// Open camera frame
HOperatorSet.OpenFramegrabber("GigEVision", 0, 0, 0, 0, 0, 0, "default", -1, "default", -1, "false", "default", "GC3851MP_CAM_2", 0, -1, out hv_AcqHandle);
HOperatorSet.SetFramegrabberParam(hv_AcqHandle, "ExposureTime", 20000.0); // 20000
// Information for PLC that frame is opened
DetectionStart();
hv_found = 0;
hv_cnt = 0;
hv_bol = 0;
// Detection flag
Porositydetectedver = false;
while (Porositydetectedver == false)
{
ho_Image.Dispose();
HOperatorSet.GrabImage(out ho_Image, hv_AcqHandle);
ho_Rectangle.Dispose();
HOperatorSet.GenRectangle1(out ho_Rectangle, 716, 720, 2200, 1850);
//ho_Circle.Dispose();
//HOperatorSet.GenCircle(out ho_Circle, 900, 2000, 600);
//ho_RegionUnion.Dispose();
//HOperatorSet.Union2(ho_Rectangle, ho_Circle, out ho_RegionUnion);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_Rectangle, out ho_ImageReduced);
ho_ImageMean.Dispose();
HOperatorSet.MeanImage(ho_ImageReduced, out ho_ImageMean, 21, 21);
ho_Region.Dispose();
HOperatorSet.BinaryThreshold(ho_ImageMean, out ho_Region, "max_separability", "dark", out hv_UsedThreshold);
ho_ConnectedRegions.Dispose();
HOperatorSet.Connection(ho_Region, out ho_ConnectedRegions);
ho_RegionClosing.Dispose();
HOperatorSet.ClosingCircle(ho_ConnectedRegions, out ho_RegionClosing, 17);
ho_SmallConnection.Dispose();
HOperatorSet.Connection(ho_RegionClosing, out ho_SmallConnection);
HOperatorSet.Circularity(ho_SmallConnection, out hv_Circularity);
HOperatorSet.AreaCenter(ho_SmallConnection, out hv_Area, out hv_Row, out hv_Column);
HOperatorSet.TupleLength(hv_Row, out hv_Length);
// Criteria for porosity
hv_circ_min = 0.5;
hv_area_min = 1500; //1500; //1000;
hv_index = 0;
HTuple end_val44 = hv_Length;
HTuple step_val44 = 1;
for (hv_i = 1; hv_i.Continue(end_val44, step_val44); hv_i = hv_i.TupleAdd(step_val44))
{
if ((int)((new HTuple(((hv_Circularity.TupleSelect(hv_i - 1))).TupleGreater(
hv_circ_min))).TupleAnd(new HTuple(((hv_Area.TupleSelect(hv_i - 1))).TupleGreater(
hv_area_min)))) != 0)
{
hv_index = hv_i - 1;
hv_found = hv_found + 1;
hv_bol = 1;
break;
}
else
{
hv_bol = 0;
}
}
//HOperatorSet.ClearWindow(hv_porosityWinHandle);
//HOperatorSet.DispObj(ho_Image, hv_porosityWinHandle);
if ((int)((new HTuple(hv_found.TupleGreater(0))).TupleAnd(new HTuple(hv_bol.TupleEqual(
1)))) != 0)
{
PorosityIsDetected();
ho_ContCircle.Dispose();
//HOperatorSet.GenCircleContourXld(out ho_ContCircle, hv_Row.TupleSelect(hv_index), hv_Column.TupleSelect(hv_index), 50, 0, 6.28318, "positive", 1);
//HOperatorSet.DispObj(ho_ContCircle, hv_porosityWinHandle);
hv_found = 0;
hv_cnt = 0;
Porositydetectedver = true;
}
hv_cnt = hv_cnt + 1;
}
//HOperatorSet.ClearWindow(hv_porosityWinHandle);
HOperatorSet.CloseFramegrabber(hv_AcqHandle);
// Open the thread DOOR
_waitHandleCam2.Set();
// Dispose all iconic variables
ho_Image.Dispose();
ho_Rectangle.Dispose();
ho_Circle.Dispose();
ho_RegionUnion.Dispose();
ho_ImageReduced.Dispose();
ho_ImageMean.Dispose();
ho_Region.Dispose();
ho_ConnectedRegions.Dispose();
ho_RegionClosing.Dispose();
ho_SmallConnection.Dispose();
ho_ContCircle.Dispose();
}
private void action()
{
HObject ho_Rectangle, ho_ImageReduced, ho_ConnectedRegions2, ho_ObjectSelected3, ho_cl;
HObject ho_Regions, ho_ObjectSelected, ho_RegionFillUp;
HObject ho_Contours, ho_Rectangle1, ho_Rectangle3, ho_RegionDifference;
HObject ho_ImageReduced1, ho_Border, ho_SelectedContours = null;
HObject ho_ObjectSelected1 = null, ho_ObjectSelected2 = null;
HObject ho_ContoursSplit1 = null, ho_RegionLines = null, ho_Region = null;
HObject ho_RegionIntersection = null, ho_ConnectedRegions = null;
HObject ho_Circle = null, ho_RegionLines1 = null, ho_Region1 = null;
HObject ho_RegionIntersection1 = null, ho_ConnectedRegions1 = null;
HObject ho_Circle1 = null;
// Local control variables
HTuple hv_Row4 = null;
HTuple hv_Column4 = null, hv_Phi2 = null, hv_Length12 = null;
HTuple hv_Length22 = null, hv_Area2 = null, hv_Row5 = null;
HTuple hv_Column5 = null, hv_p = null, hv_fx = new HTuple();
HTuple hv_cz = new HTuple(), hv_dz = new HTuple(), hv_lll = null;
HTuple hv_Mean = null, hv_Deviation1 = null, hv_Length8 = null;
HTuple hv_Number = new HTuple(), hv_Rowo1 = new HTuple();
HTuple hv_Colo1 = new HTuple(), hv_Rowo2 = new HTuple();
HTuple hv_Colo2 = new HTuple(), hv_as = new HTuple(), hv_ac = new HTuple();
HTuple hv_b = new HTuple(), hv_cs = new HTuple(), hv_cc = new HTuple();
HTuple hv_ds1 = new HTuple(), hv_ds2 = new HTuple(), hv_dc1 = new HTuple();
HTuple hv_dc2 = new HTuple(), hv_Length3 = new HTuple();
HTuple hv_dd = new HTuple(), hv_Floor = new HTuple(), hv_Length4 = new HTuple();
HTuple hv_Sequence1 = new HTuple(), hv_Length5 = new HTuple();
HTuple hv_Sequence = new HTuple(), hv_Sequence2 = new HTuple();
HTuple hv_Reduced1 = new HTuple(), hv_Reduced2 = new HTuple();
HTuple hv_Reduced3 = new HTuple(), hv_Reduced4 = new HTuple();
HTuple hv_d1 = new HTuple(), hv_Length6 = new HTuple();
HTuple hv_Sequence3 = new HTuple(), hv_Area = new HTuple();
HTuple hv_Row2 = new HTuple(), hv_Column2 = new HTuple();
HTuple hv_Selectedc = new HTuple(), hv_Selectedr = new HTuple();
HTuple hv_Newtuple = new HTuple(), hv_d2 = new HTuple();
HTuple hv_Length7 = new HTuple(), hv_Sequence4 = new HTuple();
HTuple hv_Area1 = new HTuple(), hv_Row3 = new HTuple();
HTuple hv_Column3 = new HTuple(), hv_Selectedc1 = new HTuple();
HTuple hv_Selectedr1 = new HTuple(), hv_Newtuple5 = new HTuple();
HTuple hv_Selectedds1 = new HTuple(), hv_Selecteddc1 = new HTuple();
HTuple hv_Selectedds2 = new HTuple(), hv_Selecteddc2 = new HTuple();
HTuple hv_hs1 = new HTuple(), hv_hs1r = new HTuple(), hv_hs1c = new HTuple();
HTuple hv_hs2 = new HTuple(), hv_hs2r = new HTuple(), hv_hs2c = new HTuple();
HTuple hv_hc1 = new HTuple(), hv_hc2 = new HTuple(), hv_jdr = new HTuple();
HTuple hv_jdc = new HTuple(), hv_jds = new HTuple(), hv_jdC = new HTuple();
HTuple hv_jxr = new HTuple(), hv_jxc = new HTuple(), hv_jxs = new HTuple();
HTuple hv_jxC = new HTuple(), hv_ydr = new HTuple(), hv_ydc = new HTuple();
HTuple hv_yds = new HTuple(), hv_ydC = new HTuple(), hv_yxr = new HTuple();
HTuple hv_yxc = new HTuple(), hv_yxs = new HTuple(), hv_yxC = new HTuple();
HTuple hv_jin = new HTuple(), hv_yu = new HTuple(), hv_jp = new HTuple(), hv_Indices = new HTuple();
HTuple hv_yp = new HTuple(), hv_j = new HTuple(), hv_luoju1 = new HTuple(), hv_Area3 = new HTuple(), hv_Row1 = new HTuple(), hv_Column1 = new HTuple();
HTuple hv_luoju2 = new HTuple(), hv_dajing = new HTuple();
HTuple hv_xiaojing = new HTuple(), hv_changdu = new HTuple();
HTuple hv_tiaoshu = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Rectangle);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Regions);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected);
HOperatorSet.GenEmptyObj(out ho_RegionFillUp);
HOperatorSet.GenEmptyObj(out ho_Contours);
HOperatorSet.GenEmptyObj(out ho_Rectangle1);
HOperatorSet.GenEmptyObj(out ho_Rectangle3);
HOperatorSet.GenEmptyObj(out ho_RegionDifference);
HOperatorSet.GenEmptyObj(out ho_ImageReduced1);
HOperatorSet.GenEmptyObj(out ho_Border);
HOperatorSet.GenEmptyObj(out ho_SelectedContours);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected1);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected2);
HOperatorSet.GenEmptyObj(out ho_ContoursSplit1);
HOperatorSet.GenEmptyObj(out ho_RegionLines);
HOperatorSet.GenEmptyObj(out ho_Region);
HOperatorSet.GenEmptyObj(out ho_RegionIntersection);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_Circle);
HOperatorSet.GenEmptyObj(out ho_RegionLines1);
HOperatorSet.GenEmptyObj(out ho_Region1);
HOperatorSet.GenEmptyObj(out ho_RegionIntersection1);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions1);
HOperatorSet.GenEmptyObj(out ho_Circle1);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions2);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected3);
HOperatorSet.GenEmptyObj(out ho_cl);
HOperatorSet.Union1(algorithm.Region, out RegionToDisp);
try
{
ho_Rectangle.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle, hv_centerRowm, hv_centerColumnm, hv_Phim, hv_Length1m,
hv_Length2m);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(Image, ho_Rectangle, out ho_ImageReduced);
ho_Regions.Dispose();
HOperatorSet.AutoThreshold(ho_ImageReduced, out ho_Regions, 3);
ho_ObjectSelected.Dispose();
HOperatorSet.SelectObj(ho_Regions, out ho_ObjectSelected, 1);
ho_ObjectSelected.Dispose();
HOperatorSet.SelectObj(ho_Regions, out ho_ObjectSelected, 1);
ho_ConnectedRegions2.Dispose();
HOperatorSet.Connection(ho_ObjectSelected, out ho_ConnectedRegions2);
HOperatorSet.AreaCenter(ho_ConnectedRegions2, out hv_Area3, out hv_Row1, out hv_Column1);
HOperatorSet.TupleFind(hv_Area3, hv_Area3.TupleMax(), out hv_Indices);
ho_ObjectSelected3.Dispose();
HOperatorSet.SelectObj(ho_ConnectedRegions2, out ho_ObjectSelected3, hv_Indices + 1);
ho_cl.Dispose();
HOperatorSet.ClosingCircle(ho_ObjectSelected3, out ho_cl, 3.5);
ho_RegionFillUp.Dispose();
HOperatorSet.FillUp(ho_ObjectSelected3, out ho_RegionFillUp);
ho_Contours.Dispose();
HOperatorSet.GenContourRegionXld(ho_RegionFillUp, out ho_Contours, "border");
HOperatorSet.SmallestRectangle2Xld(ho_Contours, out hv_Row4, out hv_Column4,
out hv_Phi2, out hv_Length12, out hv_Length22);
HOperatorSet.AreaCenter(ho_RegionFillUp, out hv_Area2, out hv_Row5, out hv_Column5);
hv_p = ((hv_Phi2 - hv_Phim)).TupleAbs();
while ((int)(new HTuple(hv_p.TupleGreater((new HTuple(90)).TupleRad()))) != 0)
{
hv_p = ((hv_p - ((new HTuple(180)).TupleRad()))).TupleAbs();
}
if ((int)(new HTuple(hv_p.TupleGreater((new HTuple(45)).TupleRad()))) != 0)
{
hv_fx = hv_Phi2.Clone();
hv_cz = hv_Length12.Clone();
hv_dz = hv_Length22.Clone();
}
else
{
hv_fx = hv_Phi2 + ((new HTuple(90)).TupleRad());
hv_cz = hv_Length22.Clone();
hv_dz = hv_Length12.Clone();
}
hv_lll = ((((hv_cz * hv_dz) * 4) - hv_Area2) / 2) / hv_cz;
ho_Rectangle1.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle1, hv_Row4, hv_Column4, hv_fx, hv_cz,
hv_dz + 5);
ho_Rectangle3.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle3, hv_Row4, hv_Column4, hv_Phi2, hv_Length12 + 200,
hv_lll);
ho_RegionDifference.Dispose();
HOperatorSet.Difference(ho_Rectangle1, ho_Rectangle3, out ho_RegionDifference
);
ho_ImageReduced1.Dispose();
HOperatorSet.ReduceDomain(ho_ImageReduced, ho_RegionDifference, out ho_ImageReduced1
);
HOperatorSet.Intensity(ho_RegionDifference, ho_ImageReduced1, out hv_Mean, out hv_Deviation1);
ho_Border.Dispose();
HOperatorSet.ThresholdSubPix(ho_ImageReduced1, out ho_Border, hv_Mean);
HOperatorSet.LengthXld(ho_Border, out hv_Length8);
if ((int)(new HTuple((new HTuple(hv_Length8.TupleLength())).TupleGreater(1))) != 0)
{
ho_SelectedContours.Dispose();
HOperatorSet.SelectContoursXld(ho_Border, out ho_SelectedContours, "contour_length",
0.5 * (hv_Length8.TupleMax()), 1.5 * (hv_Length8.TupleMax()), -0.5, 0.5);
HOperatorSet.CountObj(ho_SelectedContours, out hv_Number);
if ((int)(new HTuple(hv_Number.TupleEqual(2))) != 0)
{
ho_ObjectSelected1.Dispose();
HOperatorSet.SelectObj(ho_SelectedContours, out ho_ObjectSelected1, 1);
ho_ObjectSelected2.Dispose();
HOperatorSet.SelectObj(ho_SelectedContours, out ho_ObjectSelected2, 2);
HOperatorSet.GetContourXld(ho_ObjectSelected1, out hv_Rowo1, out hv_Colo1);
HOperatorSet.GetContourXld(ho_ObjectSelected2, out hv_Rowo2, out hv_Colo2);
HOperatorSet.TupleTan(hv_fx + ((new HTuple(0.000001)).TupleRad()), out hv_as);
HOperatorSet.TupleTan(hv_fx + ((new HTuple(90.000001)).TupleRad()), out hv_ac);
hv_b = -1;
hv_cs = (-(hv_Row4 + (5000 * (((hv_fx + ((new HTuple(90)).TupleRad()))).TupleSin()
)))) - (hv_as * (hv_Column4 - (5000 * (((hv_fx + ((new HTuple(90)).TupleRad()))).TupleCos()
))));
hv_cc = (-(hv_Row4 + (5000 * (hv_fx.TupleSin())))) - (hv_ac * (hv_Column4 - (5000 * (hv_fx.TupleCos()
))));
hv_ds1 = (((((hv_as * hv_Colo1) + (hv_b * (-hv_Rowo1))) + hv_cs)).TupleAbs()) / (((1 + (hv_as * hv_as))).TupleSqrt()
);
hv_ds2 = (((((hv_as * hv_Colo2) + (hv_b * (-hv_Rowo2))) + hv_cs)).TupleAbs()) / (((1 + (hv_as * hv_as))).TupleSqrt()
);
hv_dc1 = (((((hv_ac * hv_Colo1) + (hv_b * (-hv_Rowo1))) + hv_cc)).TupleAbs()) / (((1 + (hv_ac * hv_ac))).TupleSqrt()
);
hv_dc2 = (((((hv_ac * hv_Colo2) + (hv_b * (-hv_Rowo2))) + hv_cc)).TupleAbs()) / (((1 + (hv_ac * hv_ac))).TupleSqrt()
);
ho_ContoursSplit1.Dispose();
HOperatorSet.SegmentContoursXld(ho_ObjectSelected2, out ho_ContoursSplit1,
"lines_circles", 5, 4, 2);
HOperatorSet.LengthXld(ho_ContoursSplit1, out hv_Length3);
hv_dd = hv_Length3.TupleMean();
HOperatorSet.TupleFloor(hv_dd, out hv_Floor);
HOperatorSet.TupleLength(hv_Colo1, out hv_Length4);
HOperatorSet.TupleGenSequence(hv_Length4 - hv_Floor, hv_Length4 - 1, 1, out hv_Sequence1);
HOperatorSet.TupleLength(hv_Colo2, out hv_Length5);
HOperatorSet.TupleGenSequence(0, hv_Floor - 1, 1, out hv_Sequence);
HOperatorSet.TupleGenSequence(hv_Length5 - hv_Floor, hv_Length5 - 1, 1, out hv_Sequence2);
HOperatorSet.TupleRemove(hv_ds1, hv_Sequence, out hv_Reduced1);
HOperatorSet.TupleRemove(hv_ds1, hv_Sequence1, out hv_Reduced2);
HOperatorSet.TupleRemove(hv_ds2, hv_Sequence, out hv_Reduced3);
HOperatorSet.TupleRemove(hv_ds2, hv_Sequence2, out hv_Reduced4);
hv_d1 = hv_Reduced1 - hv_Reduced2;
HOperatorSet.TupleLength(hv_d1, out hv_Length6);
HOperatorSet.TupleGenSequence(1, hv_Length6, 1, out hv_Sequence3);
ho_RegionLines.Dispose();
HOperatorSet.GenRegionLine(out ho_RegionLines, 0, 0, 0, hv_Length6);
ho_Region.Dispose();
HOperatorSet.GenRegionPoints(out ho_Region, hv_d1, hv_Sequence3);
ho_RegionIntersection.Dispose();
HOperatorSet.Intersection(ho_RegionLines, ho_Region, out ho_RegionIntersection
);
ho_ConnectedRegions.Dispose();
HOperatorSet.Connection(ho_RegionIntersection, out ho_ConnectedRegions);
HOperatorSet.AreaCenter(ho_ConnectedRegions, out hv_Area, out hv_Row2, out hv_Column2);
HOperatorSet.TupleSelect(hv_Colo1, ((hv_Column2 + (hv_dd / 2))).TupleFloor(),
out hv_Selectedc);
HOperatorSet.TupleSelect(hv_Rowo1, ((hv_Column2 + (hv_dd / 2))).TupleFloor(),
out hv_Selectedr);
HOperatorSet.TupleGenConst(new HTuple(hv_Selectedr.TupleLength()), 1, out hv_Newtuple);
ho_Circle.Dispose();
HOperatorSet.GenCircle(out ho_Circle, hv_Selectedr, hv_Selectedc, hv_Newtuple);
hv_d2 = hv_Reduced3 - hv_Reduced4;
HOperatorSet.TupleLength(hv_d2, out hv_Length7);
HOperatorSet.TupleGenSequence(1, hv_Length7, 1, out hv_Sequence4);
ho_RegionLines1.Dispose();
HOperatorSet.GenRegionLine(out ho_RegionLines1, 0, 0, 0, hv_Length7);
ho_Region1.Dispose();
HOperatorSet.GenRegionPoints(out ho_Region1, hv_d2, hv_Sequence4);
ho_RegionIntersection1.Dispose();
HOperatorSet.Intersection(ho_Region1, ho_RegionLines1, out ho_RegionIntersection1
);
ho_ConnectedRegions1.Dispose();
HOperatorSet.Connection(ho_RegionIntersection1, out ho_ConnectedRegions1);
HOperatorSet.AreaCenter(ho_ConnectedRegions1, out hv_Area1, out hv_Row3,
out hv_Column3);
HOperatorSet.TupleSelect(hv_Colo2, ((hv_Column3 + (hv_dd / 2))).TupleFloor(),
out hv_Selectedc1);
HOperatorSet.TupleSelect(hv_Rowo2, ((hv_Column3 + (hv_dd / 2))).TupleFloor(),
out hv_Selectedr1);
HOperatorSet.TupleGenConst(new HTuple(hv_Selectedr1.TupleLength()), 1, out hv_Newtuple5);
ho_Circle1.Dispose();
HOperatorSet.GenCircle(out ho_Circle1, hv_Selectedr1, hv_Selectedc1, hv_Newtuple5);
HOperatorSet.TupleSelect(hv_ds1, ((hv_Column2 + (hv_dd / 2))).TupleFloor(), out hv_Selectedds1);
HOperatorSet.TupleSelect(hv_dc1, ((hv_Column2 + (hv_dd / 2))).TupleFloor(), out hv_Selecteddc1);
HOperatorSet.TupleSelect(hv_ds2, ((hv_Column3 + (hv_dd / 2))).TupleFloor(), out hv_Selectedds2);
HOperatorSet.TupleSelect(hv_dc2, ((hv_Column3 + (hv_dd / 2))).TupleFloor(), out hv_Selecteddc2);
if ((int)(new HTuple((new HTuple(hv_Selectedds1.TupleMean())).TupleLess(hv_Selectedds2.TupleMean()
))) != 0)
{
hv_hs1 = hv_Selectedds1.Clone();
hv_hs1r = hv_Selectedr.Clone();
hv_hs1c = hv_Selectedc.Clone();
hv_hs2 = hv_Selectedds2.Clone();
hv_hs2r = hv_Selectedr1.Clone();
hv_hs2c = hv_Selectedc1.Clone();
hv_hc1 = hv_Selecteddc1.Clone();
hv_hc2 = hv_Selecteddc2.Clone();
}
else
{
hv_hs1 = hv_Selectedds2.Clone();
hv_hs2r = hv_Selectedr.Clone();
hv_hs2c = hv_Selectedc.Clone();
hv_hs2 = hv_Selectedds1.Clone();
hv_hs1r = hv_Selectedr1.Clone();
hv_hs1c = hv_Selectedc1.Clone();
hv_hc2 = hv_Selecteddc1.Clone();
hv_hc1 = hv_Selecteddc2.Clone();
}
hv_jdr = new HTuple();
hv_jdc = new HTuple();
hv_jds = new HTuple();
hv_jdC = new HTuple();
hv_jxr = new HTuple();
hv_jxc = new HTuple();
hv_jxs = new HTuple();
hv_jxC = new HTuple();
hv_ydr = new HTuple();
hv_ydc = new HTuple();
hv_yds = new HTuple();
hv_ydC = new HTuple();
hv_yxr = new HTuple();
hv_yxc = new HTuple();
hv_yxs = new HTuple();
hv_yxC = new HTuple();
hv_jin = new HTuple(hv_hs1.TupleLength());
hv_yu = new HTuple(hv_hs2.TupleLength());
hv_jp = hv_hs1.TupleMean();
hv_yp = hv_hs2.TupleMean();
HTuple end_val128 = hv_jin - 1;
HTuple step_val128 = 1;
for (hv_j = 0; hv_j.Continue(end_val128, step_val128); hv_j = hv_j.TupleAdd(step_val128))
{
if ((int)(new HTuple(((hv_hs1.TupleSelect(hv_j))).TupleLess(hv_jp))) != 0)
{
hv_jdr = hv_jdr.TupleConcat(hv_hs1r.TupleSelect(hv_j));
hv_jdc = hv_jdc.TupleConcat(hv_hs1c.TupleSelect(hv_j));
hv_jds = hv_jds.TupleConcat(hv_hs1.TupleSelect(hv_j));
hv_jdC = hv_jdC.TupleConcat(hv_hc1.TupleSelect(hv_j));
}
else
{
hv_jxr = hv_jxr.TupleConcat(hv_hs1r.TupleSelect(hv_j));
hv_jxc = hv_jxc.TupleConcat(hv_hs1c.TupleSelect(hv_j));
hv_jxs = hv_jxs.TupleConcat(hv_hs1.TupleSelect(hv_j));
hv_jxC = hv_jxC.TupleConcat(hv_hc1.TupleSelect(hv_j));
}
}
HTuple end_val141 = hv_yu - 1;
HTuple step_val141 = 1;
for (hv_j = 0; hv_j.Continue(end_val141, step_val141); hv_j = hv_j.TupleAdd(step_val141))
{
if ((int)(new HTuple(((hv_hs2.TupleSelect(hv_j))).TupleGreater(hv_yp))) != 0)
{
hv_ydr = hv_ydr.TupleConcat(hv_hs2r.TupleSelect(hv_j));
hv_ydc = hv_ydc.TupleConcat(hv_hs2c.TupleSelect(hv_j));
hv_yds = hv_yds.TupleConcat(hv_hs2.TupleSelect(hv_j));
hv_ydC = hv_ydC.TupleConcat(hv_hc2.TupleSelect(hv_j));
}
else
{
hv_yxr = hv_yxr.TupleConcat(hv_hs2r.TupleSelect(hv_j));
hv_yxc = hv_yxc.TupleConcat(hv_hs2c.TupleSelect(hv_j));
hv_yxs = hv_yxs.TupleConcat(hv_hs2.TupleSelect(hv_j));
hv_yxC = hv_yxC.TupleConcat(hv_hc2.TupleSelect(hv_j));
}
}
hv_luoju1 = (((hv_hc1.TupleMax()) - (hv_hc1.TupleMin())) / ((new HTuple(hv_hc1.TupleLength()
)) - 1)) * 2;
hv_luoju2 = (((hv_hc2.TupleMax()) - (hv_hc2.TupleMin())) / ((new HTuple(hv_hc2.TupleLength()
)) - 1)) * 2;
hv_dajing = (hv_yds.TupleMean()) - (hv_jds.TupleMean());
hv_xiaojing = (hv_yxs.TupleMean()) - (hv_jxs.TupleMean());
hv_changdu = (((hv_hc1.TupleConcat(hv_hc2))).TupleMax()) - (((hv_hc1.TupleConcat(
hv_hc2))).TupleMin());
hv_tiaoshu = (((((((new HTuple(hv_jds.TupleLength())).TupleConcat(new HTuple(hv_jxs.TupleLength()
)))).TupleConcat(new HTuple(hv_yds.TupleLength())))).TupleConcat(new HTuple(hv_yxs.TupleLength()
)))).TupleMax();
}
}
HOperatorSet.Union2(ho_Circle, ho_Circle1, out RegionToDisp);
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("大径平均值");
hv_result = hv_result.TupleConcat(hv_dajing.D * pixeldist);
hv_result = hv_result.TupleConcat("螺纹长度");
hv_result = hv_result.TupleConcat(hv_changdu.D * pixeldist);
hv_result = hv_result.TupleConcat("螺纹条数");
hv_result = hv_result.TupleConcat(hv_tiaoshu.D);
hv_result = hv_result.TupleConcat("螺距1");
hv_result = hv_result.TupleConcat(hv_luoju1.D * pixeldist);
hv_result = hv_result.TupleConcat("螺距2");
hv_result = hv_result.TupleConcat(hv_luoju2.D * pixeldist);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Regions.Dispose();
ho_ObjectSelected.Dispose();
ho_RegionFillUp.Dispose();
ho_Contours.Dispose();
ho_Rectangle1.Dispose();
ho_Rectangle3.Dispose();
ho_RegionDifference.Dispose();
ho_ImageReduced1.Dispose();
ho_Border.Dispose();
ho_SelectedContours.Dispose();
ho_ObjectSelected1.Dispose();
ho_ObjectSelected2.Dispose();
ho_ContoursSplit1.Dispose();
ho_RegionLines.Dispose();
ho_Region.Dispose();
ho_RegionIntersection.Dispose();
ho_ConnectedRegions.Dispose();
ho_Circle.Dispose();
ho_RegionLines1.Dispose();
ho_Region1.Dispose();
ho_RegionIntersection1.Dispose();
ho_ConnectedRegions1.Dispose();
ho_Circle1.Dispose();
ho_ConnectedRegions2.Dispose();
ho_ObjectSelected3.Dispose();
ho_cl.Dispose();
algorithm.Region.Dispose();
}
catch
{
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("大径平均值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("螺纹长度");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("螺纹条数");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("螺距1");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("螺距2");
hv_result = hv_result.TupleConcat(0);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Regions.Dispose();
ho_ObjectSelected.Dispose();
ho_RegionFillUp.Dispose();
ho_Contours.Dispose();
ho_Rectangle1.Dispose();
ho_Rectangle3.Dispose();
ho_RegionDifference.Dispose();
ho_ImageReduced1.Dispose();
ho_Border.Dispose();
ho_SelectedContours.Dispose();
ho_ObjectSelected1.Dispose(); ho_cl.Dispose();
ho_ObjectSelected2.Dispose();
ho_ContoursSplit1.Dispose();
ho_RegionLines.Dispose();
ho_Region.Dispose();
ho_RegionIntersection.Dispose();
ho_ConnectedRegions.Dispose();
ho_Circle.Dispose();
ho_RegionLines1.Dispose();
ho_Region1.Dispose();
ho_RegionIntersection1.Dispose();
ho_ConnectedRegions1.Dispose();
ho_Circle1.Dispose();
ho_ConnectedRegions2.Dispose();
ho_ObjectSelected3.Dispose();
algorithm.Region.Dispose();
}
}
private void action()
{
// Local iconic variables
HObject ho_Rectangle, ho_ImageReduced;
HObject ho_Region, ho_Rectangle1, ho_Region1, ho_ConnectedRegions;
HObject ho_RegionFillUp, ho_SelectedRegions, ho_SortedRegions;
HObject ho_ObjectSelected = null, ho_ObjectSelected1;
// Local control variables
HTuple hv_Row1 = null, hv_Column1 = null, hv_Row2 = null;
HTuple hv_Column2 = null, hv_Row11 = null, hv_Column11 = null;
HTuple hv_Row21 = null, hv_Column21 = null, hv_Mean = null;
HTuple hv_Deviation = null, hv_Number = null, hv_a = null;
HTuple hv_l1 = null, hv_l2 = null, hv_i = null, hv_Area = new HTuple();
HTuple hv_Row = new HTuple(), hv_Column = new HTuple();
HTuple hv_Row3 = new HTuple(), hv_Column3 = new HTuple();
HTuple hv_Phi = new HTuple(), hv_Length1 = new HTuple();
HTuple hv_Length2 = new HTuple(), hv_Indices = null, hv_cl0 = null;
HTuple hv_cl1 = null, hv_cl2 = null, hv_cl3 = null, hv_cl4 = null;
HTuple hv_cl5 = null, hv_cl6 = null, hv_cl7 = null, hv_cl8 = null;
HTuple hv_cl9 = null;
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Rectangle);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Region);
HOperatorSet.GenEmptyObj(out ho_Rectangle1);
HOperatorSet.GenEmptyObj(out ho_Region1);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_RegionFillUp);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions);
HOperatorSet.GenEmptyObj(out ho_SortedRegions);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected1);
HOperatorSet.Union1(algorithm.Region, out RegionToDisp);
try
{
HOperatorSet.GenRectangle1(out ho_Rectangle, DRow1m, DCol1m, DRow2m, DCol2m);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(Image, ho_Rectangle, out ho_ImageReduced);
ho_Region.Dispose();
HOperatorSet.Threshold(ho_ImageReduced, out ho_Region, 128, 255);
HOperatorSet.SmallestRectangle1(ho_Region, out hv_Row11, out hv_Column11, out hv_Row21,
out hv_Column21);
ho_Rectangle1.Dispose();
HOperatorSet.GenRectangle1(out ho_Rectangle1, hv_Row11, hv_Column11, hv_Row21,
hv_Column21);
HOperatorSet.Intensity(ho_Rectangle1, ho_ImageReduced, out hv_Mean, out hv_Deviation);
ho_Region1.Dispose();
HOperatorSet.Threshold(ho_ImageReduced, out ho_Region1, hv_Mean, 255);
ho_ConnectedRegions.Dispose();
HOperatorSet.Connection(ho_Region1, out ho_ConnectedRegions);
ho_RegionFillUp.Dispose();
HOperatorSet.FillUp(ho_ConnectedRegions, out ho_RegionFillUp);
ho_SelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_RegionFillUp, out ho_SelectedRegions, "area", "and",
200, 99999);
ho_SortedRegions.Dispose();
HOperatorSet.SortRegion(ho_SelectedRegions, out ho_SortedRegions, "upper_left",
"true", "column");
HOperatorSet.CountObj(ho_SortedRegions, out hv_Number);
hv_a = new HTuple();
hv_l1 = new HTuple();
hv_l2 = new HTuple();
HTuple end_val20 = hv_Number - 2;
HTuple step_val20 = 1;
for (hv_i = 1; hv_i.Continue(end_val20, step_val20); hv_i = hv_i.TupleAdd(step_val20))
{
ho_ObjectSelected.Dispose();
HOperatorSet.SelectObj(ho_SortedRegions, out ho_ObjectSelected, hv_i + 1);
HOperatorSet.AreaCenter(ho_ObjectSelected, out hv_Area, out hv_Row, out hv_Column);
HOperatorSet.SmallestRectangle2(ho_ObjectSelected, out hv_Row3, out hv_Column3,
out hv_Phi, out hv_Length1, out hv_Length2);
hv_a = hv_a.TupleConcat(hv_Area);
hv_l1 = hv_l1.TupleConcat(hv_Length1);
hv_l2 = hv_l2.TupleConcat(hv_Length2);
}
HOperatorSet.TupleFind(hv_a, hv_a.TupleMin(), out hv_Indices);
ho_ObjectSelected1.Dispose();
HOperatorSet.SelectObj(ho_SortedRegions, out ho_ObjectSelected1, hv_Indices + 2);
hv_cl0 = hv_Number - 2;
hv_cl1 = hv_a.TupleMean();
hv_cl2 = (hv_a.TupleMin()) / (hv_a.TupleMean());
hv_cl3 = (hv_a.TupleMax()) / (hv_a.TupleMean());
hv_cl4 = hv_l1.TupleMean();
hv_cl5 = (hv_l1.TupleMin()) / (hv_l1.TupleMean());
hv_cl6 = (hv_l1.TupleMax()) / (hv_l1.TupleMean());
hv_cl7 = hv_l2.TupleMean();
hv_cl8 = (hv_l2.TupleMin()) / (hv_l2.TupleMean());
hv_cl9 = (hv_l2.TupleMax()) / (hv_l2.TupleMean());
HOperatorSet.Union1(ho_ObjectSelected1, out RegionToDisp);
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("数量");
hv_result = hv_result.TupleConcat(hv_cl0.D);
hv_result = hv_result.TupleConcat("面积平均");
hv_result = hv_result.TupleConcat(hv_cl1.D * pixeldist);
hv_result = hv_result.TupleConcat("面积最小比值");
hv_result = hv_result.TupleConcat(hv_cl2.D);
hv_result = hv_result.TupleConcat("面积最大比值");
hv_result = hv_result.TupleConcat(hv_cl3.D);
hv_result = hv_result.TupleConcat("长平均");
hv_result = hv_result.TupleConcat(hv_cl4.D * pixeldist);
hv_result = hv_result.TupleConcat("长最小比值");
hv_result = hv_result.TupleConcat(hv_cl5.D);
hv_result = hv_result.TupleConcat("长最大比值");
hv_result = hv_result.TupleConcat(hv_cl6.D);
hv_result = hv_result.TupleConcat("宽平均");
hv_result = hv_result.TupleConcat(hv_cl7.D * pixeldist);
hv_result = hv_result.TupleConcat("宽最小比值");
hv_result = hv_result.TupleConcat(hv_cl8.D);
hv_result = hv_result.TupleConcat("宽最大比值");
hv_result = hv_result.TupleConcat(hv_cl9.D);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Region.Dispose();
ho_Rectangle1.Dispose();
ho_Region1.Dispose();
ho_ConnectedRegions.Dispose();
ho_RegionFillUp.Dispose();
ho_SelectedRegions.Dispose();
ho_SortedRegions.Dispose();
ho_ObjectSelected.Dispose();
ho_ObjectSelected1.Dispose();
algorithm.Region.Dispose();
}
catch
{
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("数量");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("面积平均");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("面积最小比值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("面积最大比值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("长平均");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("长最小比值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("长最大比值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("宽平均");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("宽最小比值");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("宽最大比值");
hv_result = hv_result.TupleConcat(0);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Region.Dispose();
ho_Rectangle1.Dispose();
ho_Region1.Dispose();
ho_ConnectedRegions.Dispose();
ho_RegionFillUp.Dispose();
ho_SelectedRegions.Dispose();
ho_SortedRegions.Dispose();
ho_ObjectSelected.Dispose();
ho_ObjectSelected1.Dispose();
algorithm.Region.Dispose();
}
finally
{
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Region.Dispose();
ho_Rectangle1.Dispose();
ho_Region1.Dispose();
ho_ConnectedRegions.Dispose();
ho_RegionFillUp.Dispose();
ho_SelectedRegions.Dispose();
ho_SortedRegions.Dispose();
ho_ObjectSelected.Dispose();
ho_ObjectSelected1.Dispose();
algorithm.Region.Dispose();
}
}
static private void dilate_regions_pro(HObject ho_image, out HObject ho_ConnectedDilations,
HTuple hv_Row1OfRectangles, HTuple hv_Row2OfRectangles, HTuple hv_Column1OfRectangles,
HTuple hv_Column2OfRectangles, HTuple hv_RadiusOfDilation, out HTuple hv_IndexOfRectangles,
out HTuple hv_NumberListOfRectangles)
{
// Stack for temporary objects
HObject[] OTemp = new HObject[20];
// Local iconic variables
HObject ho_OrgRectangles = null, ho_RegionDilation = null;
HObject ho_RegionUnion = null, ho_ConnectedRegions = null, ho_RectangleDilationSelected = null;
HObject ho_RectangleSelected = null;
// Local control variables
HTuple hv_numOfRectangles = new HTuple();
HTuple hv_Number = new HTuple(), hv_IndexOfConnectedRegions = new HTuple();
HTuple hv_NumberOfRectangles = new HTuple(), hv_SubDefectIndexList = new HTuple();
HTuple hv_IndexOfOrgRectangles = new HTuple(), hv_IsSubset = new HTuple();
HTuple hv_Exception = null;
HTuple hv_Column2OfRectangles_COPY_INP_TMP = hv_Column2OfRectangles.Clone();
HTuple hv_RadiusOfDilation_COPY_INP_TMP = hv_RadiusOfDilation.Clone();
HTuple hv_Row2OfRectangles_COPY_INP_TMP = hv_Row2OfRectangles.Clone();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_ConnectedDilations);
HOperatorSet.GenEmptyObj(out ho_OrgRectangles);
HOperatorSet.GenEmptyObj(out ho_RegionDilation);
HOperatorSet.GenEmptyObj(out ho_RegionUnion);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_RectangleDilationSelected);
HOperatorSet.GenEmptyObj(out ho_RectangleSelected);
try
{
dev_update_off();
HOperatorSet.SetSystem("clip_region", "true");
//
ho_ConnectedDilations.Dispose();
HOperatorSet.GenEmptyObj(out ho_ConnectedDilations);
//
hv_IndexOfRectangles = new HTuple();
hv_NumberListOfRectangles = new HTuple();
//
try
{
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_image, HDevWindowStack.GetActive());
}
hv_numOfRectangles = 0;
HOperatorSet.TupleLength(hv_Row1OfRectangles, out hv_numOfRectangles);
if ((int)(new HTuple(hv_numOfRectangles.TupleLessEqual(0))) != 0)
{
ho_OrgRectangles.Dispose();
ho_RegionDilation.Dispose();
ho_RegionUnion.Dispose();
ho_ConnectedRegions.Dispose();
ho_RectangleDilationSelected.Dispose();
ho_RectangleSelected.Dispose();
return;
}
if ((int)((new HTuple((new HTuple(hv_numOfRectangles.TupleNotEqual(new HTuple(hv_Row2OfRectangles_COPY_INP_TMP.TupleLength()
)))).TupleOr(new HTuple(hv_numOfRectangles.TupleNotEqual(new HTuple(hv_Column1OfRectangles.TupleLength()
)))))).TupleOr(new HTuple(hv_numOfRectangles.TupleNotEqual(new HTuple(hv_Column2OfRectangles_COPY_INP_TMP.TupleLength()
))))) != 0)
{
ho_OrgRectangles.Dispose();
ho_RegionDilation.Dispose();
ho_RegionUnion.Dispose();
ho_ConnectedRegions.Dispose();
ho_RectangleDilationSelected.Dispose();
ho_RectangleSelected.Dispose();
return;
}
HOperatorSet.TupleMax2(hv_Row1OfRectangles, hv_Row2OfRectangles_COPY_INP_TMP,
out hv_Row2OfRectangles_COPY_INP_TMP);
HOperatorSet.TupleMax2(hv_Column1OfRectangles, hv_Column2OfRectangles_COPY_INP_TMP,
out hv_Column2OfRectangles_COPY_INP_TMP);
ho_OrgRectangles.Dispose();
HOperatorSet.GenRectangle1(out ho_OrgRectangles, hv_Row1OfRectangles, hv_Column1OfRectangles,
hv_Row2OfRectangles_COPY_INP_TMP, hv_Column2OfRectangles_COPY_INP_TMP);
HOperatorSet.TupleMax2(1.5, hv_RadiusOfDilation_COPY_INP_TMP, out hv_RadiusOfDilation_COPY_INP_TMP);
ho_RegionDilation.Dispose();
HOperatorSet.DilationCircle(ho_OrgRectangles, out ho_RegionDilation, hv_RadiusOfDilation_COPY_INP_TMP);
ho_RegionUnion.Dispose();
HOperatorSet.Union1(ho_RegionDilation, out ho_RegionUnion);
ho_ConnectedRegions.Dispose();
HOperatorSet.Connection(ho_RegionUnion, out ho_ConnectedRegions);
{
HObject ExpTmpOutVar_0;
HOperatorSet.SortRegion(ho_ConnectedRegions, out ExpTmpOutVar_0, "first_point",
"true", "row");
ho_ConnectedRegions.Dispose();
ho_ConnectedRegions = ExpTmpOutVar_0;
}
HOperatorSet.CountObj(ho_ConnectedRegions, out hv_Number);
HTuple end_val27 = hv_Number;
HTuple step_val27 = 1;
for (hv_IndexOfConnectedRegions = 1; hv_IndexOfConnectedRegions.Continue(end_val27, step_val27); hv_IndexOfConnectedRegions = hv_IndexOfConnectedRegions.TupleAdd(step_val27))
{
hv_NumberOfRectangles = 0;
ho_RectangleDilationSelected.Dispose();
HOperatorSet.SelectObj(ho_ConnectedRegions, out ho_RectangleDilationSelected,
hv_IndexOfConnectedRegions);
hv_SubDefectIndexList = new HTuple();
HTuple end_val31 = hv_numOfRectangles;
HTuple step_val31 = 1;
for (hv_IndexOfOrgRectangles = 1; hv_IndexOfOrgRectangles.Continue(end_val31, step_val31); hv_IndexOfOrgRectangles = hv_IndexOfOrgRectangles.TupleAdd(step_val31))
{
ho_RectangleSelected.Dispose();
HOperatorSet.SelectObj(ho_OrgRectangles, out ho_RectangleSelected, hv_IndexOfOrgRectangles);
HOperatorSet.TestSubsetRegion(ho_RectangleSelected, ho_RectangleDilationSelected,
out hv_IsSubset);
if ((int)(hv_IsSubset) != 0)
{
hv_IndexOfRectangles = hv_IndexOfRectangles.TupleConcat(hv_IndexOfOrgRectangles - 1);
hv_NumberOfRectangles = hv_NumberOfRectangles + 1;
}
}
hv_NumberListOfRectangles = hv_NumberListOfRectangles.TupleConcat(hv_NumberOfRectangles);
}
ho_ConnectedDilations.Dispose();
ho_ConnectedDilations = ho_ConnectedRegions.CopyObj(1, -1);
}
// catch (Exception)
catch (HalconException HDevExpDefaultException1)
{
HDevExpDefaultException1.ToHTuple(out hv_Exception);
//do nothing.
}
//
ho_OrgRectangles.Dispose();
ho_RegionDilation.Dispose();
ho_RegionUnion.Dispose();
ho_ConnectedRegions.Dispose();
ho_RectangleDilationSelected.Dispose();
ho_RectangleSelected.Dispose();
return;
}
catch (HalconException HDevExpDefaultException)
{
ho_OrgRectangles.Dispose();
ho_RegionDilation.Dispose();
ho_RegionUnion.Dispose();
ho_ConnectedRegions.Dispose();
ho_RectangleDilationSelected.Dispose();
ho_RectangleSelected.Dispose();
throw HDevExpDefaultException;
}
}
public MeasureResult Action()
{
#region 輸出結果
CircleResult mResult = null;
#endregion
// Local iconic variables
HObject ho_R3_Circle = null;
HObject ho_R3_ROI_Image = null, ho_R3_Region = null, ho_R3_ImageReduced = null;
HObject ho_R3_Edges = null, ho_R3_ContoursSplit = null, ho_R3_SingleSegment = null;
HObject ho_R3_ContEllipse = null;
// Local control variables
HTuple hv_msgOffsetY, hv_msgOffsetX;
HTuple hv_STD_Row;
HTuple hv_STD_Col, hv_Img_Row, hv_Img_Col, hv_Img_Rotate_Angle;
HTuple hv_OffsetRow, hv_OffsetCol, hv_R3_R;
HTuple hv_STD_R3_Row = new HTuple(), hv_STD_R3_Col = new HTuple();
HTuple hv_STD_R3_V_Row = new HTuple(), hv_STD_R3_V_Col = new HTuple();
HTuple hv_R3_X = new HTuple(), hv_R3_Y = new HTuple(), hv_R3_Pos_Row = new HTuple();
HTuple hv_R3_Pos_Col = new HTuple(), hv_alpha = new HTuple();
HTuple hv_R3_low = new HTuple(), hv_R3_high = new HTuple();
HTuple hv_R3_NumSegments = new HTuple(), hv_NumCircles = new HTuple();
HTuple hv_Num_Circle_Point = new HTuple(), hv_R3 = new HTuple();
HTuple hv_i = new HTuple(), hv_Attrib = new HTuple(), hv_R3_Row = new HTuple();
HTuple hv_R3_Column = new HTuple(), hv_R3_Radius = new HTuple();
HTuple hv_R3_StartPhi = new HTuple(), hv_R3_EndPhi = new HTuple();
HTuple hv_R3_PointOrder = new HTuple(), hv_R3_MinDist = new HTuple();
HTuple hv_R3_MaxDist = new HTuple(), hv_R3_AvgDist = new HTuple();
HTuple hv_R3_SigmaDist = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_R3_Circle);
HOperatorSet.GenEmptyObj(out ho_R3_ROI_Image);
HOperatorSet.GenEmptyObj(out ho_R3_Region);
HOperatorSet.GenEmptyObj(out ho_R3_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_R3_Edges);
HOperatorSet.GenEmptyObj(out ho_R3_ContoursSplit);
HOperatorSet.GenEmptyObj(out ho_R3_SingleSegment);
HOperatorSet.GenEmptyObj(out ho_R3_ContEllipse);
//Measure: SDMS_R3
//Author: John Hsieh
//Date: 2012
//ho_Image.Dispose();
//HOperatorSet.ReadImage(out ho_Image, "Images/STD.bmp");
//dev_open_window_fit_image(ho_Image, 0, 0, -1, -1, out hv_WindowHandle);
//// dev_update_off(...); only in hdevelop
HOperatorSet.SetSystem("border_shape_models", "false");
//****Message Args
hv_msgOffsetY = 100;
hv_msgOffsetX = 100;
//****Model All
//HOperatorSet.ReadShapeModel("D:/Projects/Halcon/SDMS/SDMS_Measure/Model/MatchingAll.shm",
// out hv_AllModelId);
//ho_AllModelContours.Dispose();
//HOperatorSet.GetShapeModelContours(out ho_AllModelContours, hv_AllModelId, 1);
//HOperatorSet.FindShapeModel(ho_Image, hv_AllModelId, (new HTuple(0)).TupleRad()
// , (new HTuple(360)).TupleRad(), 0.5, 1, 0.5, "least_squares", 6, 0.75, out hv_AllModelRow,
// out hv_AllModelColumn, out hv_AllModelAngle, out hv_AllModelScore);
//****Model Args
//STD 中心點
hv_STD_Row = 772;
hv_STD_Col = 1003;
//目前圖形 中心點
hv_Img_Row = hv_AllModelRow.Clone();
hv_Img_Col = hv_AllModelColumn.Clone();
//目前圖形 Rotate Angle
hv_Img_Rotate_Angle = hv_AllModelAngle.Clone();
//目前圖形偏移量
hv_OffsetRow = hv_Img_Row - hv_STD_Row;
hv_OffsetCol = hv_Img_Col - hv_STD_Col;
//****Display
if (HDevWindowStack.IsOpen())
{
HOperatorSet.ClearWindow(HDevWindowStack.GetActive());
}
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_Image, HDevWindowStack.GetActive());
}
//*****R3
hv_R3_R = 29;
//STD R3_ 位置
hv_STD_R3_Row = 252;
hv_STD_R3_Col = 1381;
//STD 向量 STD_R3_
hv_STD_R3_V_Row = hv_STD_R3_Row - hv_STD_Row;
hv_STD_R3_V_Col = hv_STD_R3_Col - hv_STD_Col;
//R3_X, R3_Y 分量
hv_R3_X = (hv_STD_R3_V_Col * (hv_Img_Rotate_Angle.TupleCos())) + (hv_STD_R3_V_Row * (hv_Img_Rotate_Angle.TupleSin()
));
hv_R3_Y = (hv_STD_R3_V_Row * (hv_Img_Rotate_Angle.TupleCos())) - (hv_STD_R3_V_Col * (hv_Img_Rotate_Angle.TupleSin()
));
//目前圖形 R3_ 位置
hv_R3_Pos_Row = (hv_STD_Row + hv_R3_Y) + hv_OffsetRow;
hv_R3_Pos_Col = (hv_STD_Col + hv_R3_X) + hv_OffsetCol;
//** 開始計算
ho_R3_Circle.Dispose();
HOperatorSet.GenCircle(out ho_R3_Circle, hv_R3_Pos_Row, hv_R3_Pos_Col, hv_R3_R);
ho_R3_ROI_Image.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_R3_Circle, out ho_R3_ROI_Image);
ho_R3_Region.Dispose();
HOperatorSet.FastThreshold(ho_R3_ROI_Image, out ho_R3_Region, 100, 255, 15);
ho_R3_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_R3_ROI_Image, ho_R3_Region, out ho_R3_ImageReduced
);
//stop ()
//sobel_fast 具有較寬的選擇範圍，搭配 alpha 參數 (alpha 越大, 容錯範圍大)
hv_alpha = 0.9;
hv_R3_low = 20;
hv_R3_high = 60;
ho_R3_Edges.Dispose();
HOperatorSet.EdgesSubPix(ho_R3_ImageReduced, out ho_R3_Edges, "sobel_fast",
hv_alpha, hv_R3_low, hv_R3_high);
//stop ()
//*所有的數值越小，表示容錯範圍大，反之亦然
ho_R3_ContoursSplit.Dispose();
HOperatorSet.SegmentContoursXld(ho_R3_Edges, out ho_R3_ContoursSplit, "lines_circles",
17, 4, 2);
//Display the results
//===========================================================
HOperatorSet.CountObj(ho_R3_ContoursSplit, out hv_R3_NumSegments);
hv_NumCircles = 0;
hv_Num_Circle_Point = 0;
hv_R3 = 999;
for (hv_i = 1; hv_i.Continue(hv_R3_NumSegments, 1); hv_i = hv_i.TupleAdd(1))
{
ho_R3_SingleSegment.Dispose();
HOperatorSet.SelectObj(ho_R3_ContoursSplit, out ho_R3_SingleSegment, hv_i);
HOperatorSet.GetContourGlobalAttribXld(ho_R3_SingleSegment, "cont_approx",
out hv_Attrib);
if ((int)(new HTuple(hv_Attrib.TupleEqual(1))) != 0)
{
HOperatorSet.FitCircleContourXld(ho_R3_SingleSegment, "atukey", -1, 2,
hv_Num_Circle_Point, 5, 2, out hv_R3_Row, out hv_R3_Column, out hv_R3_Radius,
out hv_R3_StartPhi, out hv_R3_EndPhi, out hv_R3_PointOrder);
hv_NumCircles = hv_NumCircles + 1;
if ((int)(new HTuple(hv_R3.TupleGreater(hv_R3_Radius))) != 0)
{
hv_R3 = hv_R3_Radius.Clone();
mResult = new CircleResult()
{
Row = new HTuple(hv_R3_Row),
Col = new HTuple(hv_R3_Column),
Radius = new HTuple(hv_R3_Radius),
StartPhi = new HTuple(hv_R3_StartPhi),
EndPhi = new HTuple(hv_R3_EndPhi),
PointOrder = new HTuple(hv_R3_PointOrder),
};
//HOperatorSet.SetTposition(hv_WindowHandle, (hv_R3_Pos_Row - hv_msgOffsetY) + 60,
// (hv_R3_Pos_Col + hv_msgOffsetX) - 60);
//HOperatorSet.WriteString(hv_WindowHandle, "R3");
//stop ()
}
}
}
//*****R3 End
ho_R3_Circle.Dispose();
ho_R3_ROI_Image.Dispose();
ho_R3_Region.Dispose();
ho_R3_ImageReduced.Dispose();
ho_R3_Edges.Dispose();
ho_R3_ContoursSplit.Dispose();
ho_R3_SingleSegment.Dispose();
ho_R3_ContEllipse.Dispose();
return(mResult);
}
public MeasureResult Action()
{
#region 輸出結果
CircleResult mResult = null;
#endregion
// Local iconic variables
HObject ho_R3_Circle = null;
HObject ho_R3_ROI_Image = null, ho_R3_Region = null, ho_R3_ImageReduced = null;
HObject ho_R3_Edges = null, ho_R3_ContoursSplit = null, ho_R3_SingleSegment = null;
HObject ho_R3_ContEllipse = null;
// Local control variables
HTuple hv_msgOffsetY, hv_msgOffsetX;
HTuple hv_STD_Row;
HTuple hv_STD_Col, hv_Img_Row, hv_Img_Col, hv_Img_Rotate_Angle;
HTuple hv_OffsetRow, hv_OffsetCol, hv_R3_R;
HTuple hv_STD_R3_Row = new HTuple(), hv_STD_R3_Col = new HTuple();
HTuple hv_STD_R3_V_Row = new HTuple(), hv_STD_R3_V_Col = new HTuple();
HTuple hv_R3_X = new HTuple(), hv_R3_Y = new HTuple(), hv_R3_Pos_Row = new HTuple();
HTuple hv_R3_Pos_Col = new HTuple(), hv_alpha = new HTuple();
HTuple hv_R3_low = new HTuple(), hv_R3_high = new HTuple();
HTuple hv_R3_NumSegments = new HTuple(), hv_NumCircles = new HTuple();
HTuple hv_Num_Circle_Point = new HTuple(), hv_R3 = new HTuple();
HTuple hv_i = new HTuple(), hv_Attrib = new HTuple(), hv_R3_Row = new HTuple();
HTuple hv_R3_Column = new HTuple(), hv_R3_Radius = new HTuple();
HTuple hv_R3_StartPhi = new HTuple(), hv_R3_EndPhi = new HTuple();
HTuple hv_R3_PointOrder = new HTuple(), hv_R3_MinDist = new HTuple();
HTuple hv_R3_MaxDist = new HTuple(), hv_R3_AvgDist = new HTuple();
HTuple hv_R3_SigmaDist = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_R3_Circle);
HOperatorSet.GenEmptyObj(out ho_R3_ROI_Image);
HOperatorSet.GenEmptyObj(out ho_R3_Region);
HOperatorSet.GenEmptyObj(out ho_R3_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_R3_Edges);
HOperatorSet.GenEmptyObj(out ho_R3_ContoursSplit);
HOperatorSet.GenEmptyObj(out ho_R3_SingleSegment);
HOperatorSet.GenEmptyObj(out ho_R3_ContEllipse);
//Measure: SDMS_R3
//Author: John Hsieh
//Date: 2012
//ho_Image.Dispose();
//HOperatorSet.ReadImage(out ho_Image, "Images/STD.bmp");
//dev_open_window_fit_image(ho_Image, 0, 0, -1, -1, out hv_WindowHandle);
//// dev_update_off(...); only in hdevelop
HOperatorSet.SetSystem("border_shape_models", "false");
//****Message Args
hv_msgOffsetY = 100;
hv_msgOffsetX = 100;
//****Model All
//HOperatorSet.ReadShapeModel("D:/Projects/Halcon/SDMS/SDMS_Measure/Model/MatchingAll.shm",
// out hv_AllModelId);
//ho_AllModelContours.Dispose();
//HOperatorSet.GetShapeModelContours(out ho_AllModelContours, hv_AllModelId, 1);
//HOperatorSet.FindShapeModel(ho_Image, hv_AllModelId, (new HTuple(0)).TupleRad()
// , (new HTuple(360)).TupleRad(), 0.5, 1, 0.5, "least_squares", 6, 0.75, out hv_AllModelRow,
// out hv_AllModelColumn, out hv_AllModelAngle, out hv_AllModelScore);
//****Model Args
//STD 中心點
hv_STD_Row = 772;
hv_STD_Col = 1003;
//目前圖形 中心點
hv_Img_Row = hv_AllModelRow.Clone();
hv_Img_Col = hv_AllModelColumn.Clone();
//目前圖形 Rotate Angle
hv_Img_Rotate_Angle = hv_AllModelAngle.Clone();
//目前圖形偏移量
hv_OffsetRow = hv_Img_Row - hv_STD_Row;
hv_OffsetCol = hv_Img_Col - hv_STD_Col;
//****Display
if (HDevWindowStack.IsOpen())
{
HOperatorSet.ClearWindow(HDevWindowStack.GetActive());
}
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_Image, HDevWindowStack.GetActive());
}
//*****R3
hv_R3_R = 29;
//STD R3_ 位置
hv_STD_R3_Row = 252;
hv_STD_R3_Col = 1381;
//STD 向量 STD_R3_
hv_STD_R3_V_Row = hv_STD_R3_Row - hv_STD_Row;
hv_STD_R3_V_Col = hv_STD_R3_Col - hv_STD_Col;
//R3_X, R3_Y 分量
hv_R3_X = (hv_STD_R3_V_Col * (hv_Img_Rotate_Angle.TupleCos())) + (hv_STD_R3_V_Row * (hv_Img_Rotate_Angle.TupleSin()
));
hv_R3_Y = (hv_STD_R3_V_Row * (hv_Img_Rotate_Angle.TupleCos())) - (hv_STD_R3_V_Col * (hv_Img_Rotate_Angle.TupleSin()
));
//目前圖形 R3_ 位置
hv_R3_Pos_Row = (hv_STD_Row + hv_R3_Y) + hv_OffsetRow;
hv_R3_Pos_Col = (hv_STD_Col + hv_R3_X) + hv_OffsetCol;
//** 開始計算
ho_R3_Circle.Dispose();
HOperatorSet.GenCircle(out ho_R3_Circle, hv_R3_Pos_Row, hv_R3_Pos_Col, hv_R3_R);
ho_R3_ROI_Image.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_R3_Circle, out ho_R3_ROI_Image);
ho_R3_Region.Dispose();
HOperatorSet.FastThreshold(ho_R3_ROI_Image, out ho_R3_Region, 100, 255, 15);
ho_R3_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_R3_ROI_Image, ho_R3_Region, out ho_R3_ImageReduced
);
//stop ()
//sobel_fast 具有較寬的選擇範圍，搭配 alpha 參數 (alpha 越大, 容錯範圍大)
hv_alpha = 0.9;
hv_R3_low = 20;
hv_R3_high = 60;
ho_R3_Edges.Dispose();
HOperatorSet.EdgesSubPix(ho_R3_ImageReduced, out ho_R3_Edges, "sobel_fast",
hv_alpha, hv_R3_low, hv_R3_high);
//stop ()
//*所有的數值越小，表示容錯範圍大，反之亦然
ho_R3_ContoursSplit.Dispose();
HOperatorSet.SegmentContoursXld(ho_R3_Edges, out ho_R3_ContoursSplit, "lines_circles",
17, 4, 2);
//Display the results
//===========================================================
HOperatorSet.CountObj(ho_R3_ContoursSplit, out hv_R3_NumSegments);
hv_NumCircles = 0;
hv_Num_Circle_Point = 0;
hv_R3 = 999;
for (hv_i = 1; hv_i.Continue(hv_R3_NumSegments, 1); hv_i = hv_i.TupleAdd(1))
{
ho_R3_SingleSegment.Dispose();
HOperatorSet.SelectObj(ho_R3_ContoursSplit, out ho_R3_SingleSegment, hv_i);
HOperatorSet.GetContourGlobalAttribXld(ho_R3_SingleSegment, "cont_approx",
out hv_Attrib);
if ((int)(new HTuple(hv_Attrib.TupleEqual(1))) != 0)
{
HOperatorSet.FitCircleContourXld(ho_R3_SingleSegment, "atukey", -1, 2,
hv_Num_Circle_Point, 5, 2, out hv_R3_Row, out hv_R3_Column, out hv_R3_Radius,
out hv_R3_StartPhi, out hv_R3_EndPhi, out hv_R3_PointOrder);
hv_NumCircles = hv_NumCircles + 1;
if ((int)(new HTuple(hv_R3.TupleGreater(hv_R3_Radius))) != 0)
{
hv_R3 = hv_R3_Radius.Clone();
mResult = new CircleResult()
{
Row = new HTuple(hv_R3_Row),
Col = new HTuple(hv_R3_Column),
Radius = new HTuple(hv_R3_Radius),
StartPhi = new HTuple(hv_R3_StartPhi),
EndPhi = new HTuple(hv_R3_EndPhi),
PointOrder = new HTuple(hv_R3_PointOrder),
};
//HOperatorSet.SetTposition(hv_WindowHandle, (hv_R3_Pos_Row - hv_msgOffsetY) + 60,
// (hv_R3_Pos_Col + hv_msgOffsetX) - 60);
//HOperatorSet.WriteString(hv_WindowHandle, "R3");
//stop ()
}
}
}
//*****R3 End
ho_R3_Circle.Dispose();
ho_R3_ROI_Image.Dispose();
ho_R3_Region.Dispose();
ho_R3_ImageReduced.Dispose();
ho_R3_Edges.Dispose();
ho_R3_ContoursSplit.Dispose();
ho_R3_SingleSegment.Dispose();
ho_R3_ContEllipse.Dispose();
return mResult;
}
/// <summary>
/// 测试小球OKNG的方法
/// </summary>
/// <param name="hv_liudao">小球所在位置</param>
/// <param name="hv_channels">流道信息</param>
/// <param name="hv_liudaoR">小球直径（像素值）</param>
/// <param name="hv_myLength">小球标准直径（像素值）</param>
/// <param name="hv_myThreashod">小球阈值范围</param>
/// <param name="hv_myResult">是否都是好的</param>
/// <param name="hv_NGLengths">NG小球直径</param>
/// <param name="hv_NGChls">NG小球所在流道</param>
public void testOKNG2(HTuple hv_liudao, HTuple hv_channels, HTuple hv_liudaoR,
HTuple hv_myLength, HTuple hv_myThreashod, out HTuple hv_myResult, out HTuple hv_NGLengths,
out HTuple hv_NGChls)
{
// Local iconic variables
// Local control variables
HTuple hv_num = null, hv_num2 = null, hv_Index1 = null;
HTuple hv_Index2 = new HTuple(), hv_lll = new HTuple();
HTuple hv_ff1 = new HTuple(), hv_ff2 = new HTuple(), hv_ff = new HTuple();
// Initialize local and output iconic variables
hv_myResult = 1;
hv_num = new HTuple(hv_liudao.TupleLength());
hv_num2 = new HTuple(hv_channels.TupleLength());
hv_NGChls = new HTuple();
hv_NGLengths = new HTuple();
HTuple end_val8 = hv_num - 1;
HTuple step_val8 = 1;
for (hv_Index1 = 0; hv_Index1.Continue(end_val8, step_val8); hv_Index1 = hv_Index1.TupleAdd(step_val8))
{
HTuple end_val9 = hv_num2;
HTuple step_val9 = 1;
for (hv_Index2 = 1; hv_Index2.Continue(end_val9, step_val9); hv_Index2 = hv_Index2.TupleAdd(step_val9))
{
if ((int)(new HTuple(((hv_liudao.TupleSelect(hv_Index1))).TupleLess(hv_channels.TupleSelect(
hv_Index2)))) != 0)
{
break;
}
}
hv_lll = hv_Index2 - 1;
hv_ff1 = new HTuple(((hv_liudaoR.TupleSelect(hv_Index1))).TupleGreater((hv_myLength.TupleSelect(
hv_lll)) - (hv_myThreashod.TupleSelect(hv_lll))));
hv_ff2 = new HTuple(((hv_liudaoR.TupleSelect(hv_Index1))).TupleLess((hv_myLength.TupleSelect(
hv_lll)) + (hv_myThreashod.TupleSelect(hv_lll))));
hv_ff = hv_ff1.TupleAnd(hv_ff2);
if ((int)(hv_ff) != 0)
{
}
else
{
hv_NGChls = hv_NGChls.TupleConcat(hv_Index2);
hv_NGLengths = hv_NGLengths.TupleConcat(hv_liudaoR.TupleSelect(hv_Index1));
}
hv_myResult = hv_myResult.TupleAnd(hv_ff);
}
return;
}
public MeasureResult Action()
{
#region 輸出結果
CircleResult mResult = null;
#endregion
// Local iconic variables
HObject ho_R17_Circle = null;
HObject ho_R17_ROI_Image = null, ho_R17_Region = null, ho_R17_ImageReduced = null;
HObject ho_R17_Edges = null, ho_R17_ContoursSplit = null, ho_R17_SingleSegment = null;
HObject ho_R17_ContEllipse = null;
// Local control variables
HTuple hv_msgOffsetY, hv_msgOffsetX;
HTuple hv_STD_Row;
HTuple hv_STD_Col, hv_Img_Row, hv_Img_Col, hv_Img_Rotate_Angle;
HTuple hv_OffsetRow, hv_OffsetCol, hv_STD_R17_Row, hv_STD_R17_Col;
HTuple hv_STD_R17_V_Row, hv_STD_R17_V_Col, hv_R17_X, hv_R17_Y;
HTuple hv_R17_Pos_Row, hv_R17_Pos_Col, hv_R17_R;
HTuple hv_alpha = new HTuple(), hv_R17_low = new HTuple();
HTuple hv_R17_high = new HTuple(), hv_R17_NumSegments = new HTuple();
HTuple hv_NumCircles = new HTuple(), hv_Num_Circle_Point = new HTuple();
HTuple hv_R17 = new HTuple(), hv_i = new HTuple(), hv_Attrib = new HTuple();
HTuple hv_R17_Row = new HTuple(), hv_R17_Column = new HTuple();
HTuple hv_R17_Radius = new HTuple(), hv_R17_StartPhi = new HTuple();
HTuple hv_R17_EndPhi = new HTuple(), hv_R17_PointOrder = new HTuple();
HTuple hv_R17_MinDist = new HTuple(), hv_R17_MaxDist = new HTuple();
HTuple hv_R17_AvgDist = new HTuple(), hv_R17_SigmaDist = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_R17_Circle);
HOperatorSet.GenEmptyObj(out ho_R17_ROI_Image);
HOperatorSet.GenEmptyObj(out ho_R17_Region);
HOperatorSet.GenEmptyObj(out ho_R17_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_R17_Edges);
HOperatorSet.GenEmptyObj(out ho_R17_ContoursSplit);
HOperatorSet.GenEmptyObj(out ho_R17_SingleSegment);
HOperatorSet.GenEmptyObj(out ho_R17_ContEllipse);
//Measure: SDMS_R17
//Author: John Hsieh
//Date: 2012
// dev_update_off(...); only in hdevelop
HOperatorSet.SetSystem("border_shape_models", "false");
//****Message Args
hv_msgOffsetY = 100;
hv_msgOffsetX = 100;
//****Model Args
//STD 中心點
hv_STD_Row = 772;
hv_STD_Col = 1003;
//目前圖形 中心點
hv_Img_Row = hv_AllModelRow.Clone();
hv_Img_Col = hv_AllModelColumn.Clone();
//目前圖形 Rotate Angle
hv_Img_Rotate_Angle = hv_AllModelAngle.Clone();
//目前圖形偏移量
hv_OffsetRow = hv_Img_Row - hv_STD_Row;
hv_OffsetCol = hv_Img_Col - hv_STD_Col;
//****Display
if (HDevWindowStack.IsOpen())
{
HOperatorSet.ClearWindow(HDevWindowStack.GetActive());
}
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_Image, HDevWindowStack.GetActive());
}
//*****R17
//STD R17_ 位置
hv_STD_R17_Row = 802;
hv_STD_R17_Col = 660;
//STD 向量 STD_R17_
hv_STD_R17_V_Row = hv_STD_R17_Row - hv_STD_Row;
hv_STD_R17_V_Col = hv_STD_R17_Col - hv_STD_Col;
//R17_X, R17_Y 分量
hv_R17_X = (hv_STD_R17_V_Col * (hv_Img_Rotate_Angle.TupleCos())) + (hv_STD_R17_V_Row * (hv_Img_Rotate_Angle.TupleSin()
));
hv_R17_Y = (hv_STD_R17_V_Row * (hv_Img_Rotate_Angle.TupleCos())) - (hv_STD_R17_V_Col * (hv_Img_Rotate_Angle.TupleSin()
));
//目前圖形 R17_ 位置
hv_R17_Pos_Row = (hv_STD_Row + hv_R17_Y) + hv_OffsetRow;
hv_R17_Pos_Col = (hv_STD_Col + hv_R17_X) + hv_OffsetCol;
hv_R17_R = 17;
ho_R17_Circle.Dispose();
HOperatorSet.GenCircle(out ho_R17_Circle, hv_R17_Pos_Row, hv_R17_Pos_Col, hv_R17_R);
if (HDevWindowStack.IsOpen())
{
//dev_display (R17_Circle)
}
//stop ()
ho_R17_ROI_Image.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_R17_Circle, out ho_R17_ROI_Image);
ho_R17_Region.Dispose();
HOperatorSet.FastThreshold(ho_R17_ROI_Image, out ho_R17_Region, 100, 255, 15);
ho_R17_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_R17_ROI_Image, ho_R17_Region, out ho_R17_ImageReduced
);
//stop ()
//sobel_fast 具有較寬的選擇範圍，搭配 alpha 參數 (alpha 越大, 容錯範圍大)
hv_alpha = 0.9;
hv_R17_low = 10;
hv_R17_high = 60;
ho_R17_Edges.Dispose();
HOperatorSet.EdgesSubPix(ho_R17_ImageReduced, out ho_R17_Edges, "sobel_fast",
hv_alpha, hv_R17_low, hv_R17_high);
//stop ()
//*所有的數值越小，表示容錯範圍大，反之亦然
ho_R17_ContoursSplit.Dispose();
HOperatorSet.SegmentContoursXld(ho_R17_Edges, out ho_R17_ContoursSplit, "lines_circles",
17, 1, 1);
//Display the results
//===========================================================
HOperatorSet.CountObj(ho_R17_ContoursSplit, out hv_R17_NumSegments);
hv_NumCircles = 0;
hv_Num_Circle_Point = 0;
hv_R17 = 999;
for (hv_i = 1; hv_i.Continue(hv_R17_NumSegments, 1); hv_i = hv_i.TupleAdd(1))
{
ho_R17_SingleSegment.Dispose();
HOperatorSet.SelectObj(ho_R17_ContoursSplit, out ho_R17_SingleSegment, hv_i);
HOperatorSet.GetContourGlobalAttribXld(ho_R17_SingleSegment, "cont_approx",
out hv_Attrib);
if ((int)(new HTuple(hv_Attrib.TupleEqual(1))) != 0)
{
HOperatorSet.FitCircleContourXld(ho_R17_SingleSegment, "atukey", -1, 2,
hv_Num_Circle_Point, 5, 2, out hv_R17_Row, out hv_R17_Column, out hv_R17_Radius,
out hv_R17_StartPhi, out hv_R17_EndPhi, out hv_R17_PointOrder);
ho_R17_ContEllipse.Dispose();
HOperatorSet.GenEllipseContourXld(out ho_R17_ContEllipse, hv_R17_Row, hv_R17_Column,
0, hv_R17_Radius, hv_R17_Radius, 0, (new HTuple(360)).TupleRad(), "positive",
1.0);
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_R17_ContEllipse, HDevWindowStack.GetActive());
}
HOperatorSet.DistEllipseContourXld(ho_R17_SingleSegment, "algebraic", -1,
0, hv_R17_Row, hv_R17_Column, 0, hv_R17_Radius, hv_R17_Radius, out hv_R17_MinDist,
out hv_R17_MaxDist, out hv_R17_AvgDist, out hv_R17_SigmaDist);
hv_NumCircles = hv_NumCircles + 1;
if ((int)(new HTuple(hv_R17.TupleGreater(hv_R17_Radius))) != 0)
{
hv_R17 = hv_R17_Radius.Clone();
mResult = new CircleResult()
{
Row = new HTuple(hv_R17_Row),
Col = new HTuple(hv_R17_Column),
Radius = new HTuple(hv_R17_Radius),
StartPhi = new HTuple(hv_R17_StartPhi),
EndPhi = new HTuple(hv_R17_EndPhi),
PointOrder = new HTuple(hv_R17_PointOrder),
};
}
//stop ()
}
}
ho_R17_Circle.Dispose();
ho_R17_ROI_Image.Dispose();
ho_R17_Region.Dispose();
ho_R17_ImageReduced.Dispose();
ho_R17_Edges.Dispose();
ho_R17_ContoursSplit.Dispose();
ho_R17_SingleSegment.Dispose();
ho_R17_ContEllipse.Dispose();
return mResult;
}
public MeasureResult Action()
{
#region 輸出結果
CircleResult mResult = null;
#endregion
// Local iconic variables
HObject ho_R6_Circle = null;
HObject ho_R6_ROI_Image = null, ho_R6_Region = null, ho_R6_RegionBorder = null;
HObject ho_R6_RegionDilation = null, ho_R6_ImageReduced = null;
HObject ho_R6_Edges = null, ho_R6_ContoursSplit = null, ho_R6_SingleSegment = null;
HObject ho_R6_ContEllipse = null;
// Local control variables
HTuple hv_msgOffsetY, hv_msgOffsetX;
HTuple hv_STD_Row;
HTuple hv_STD_Col, hv_Img_Row, hv_Img_Col, hv_Img_Rotate_Angle;
HTuple hv_OffsetRow, hv_OffsetCol, hv_R6;
HTuple hv_STD_R6_Row = new HTuple(), hv_STD_R6_Col = new HTuple();
HTuple hv_STD_R6_V_Row = new HTuple(), hv_STD_R6_V_Col = new HTuple();
HTuple hv_R6_X = new HTuple(), hv_R6_Y = new HTuple(), hv_R6_Pos_Row = new HTuple();
HTuple hv_R6_Pos_Col = new HTuple(), hv_R6_R = new HTuple();
HTuple hv_R6_R_Max = new HTuple(), hv_R6_R_Inc = new HTuple();
HTuple hv_R6_NumSegments = new HTuple(), hv_NumCircles = new HTuple();
HTuple hv_Num_Circle_Point = new HTuple(), hv_i = new HTuple();
HTuple hv_Attrib = new HTuple(), hv_R6_Row = new HTuple();
HTuple hv_R6_Column = new HTuple(), hv_R6_Radius = new HTuple();
HTuple hv_R6_StartPhi = new HTuple(), hv_R6_EndPhi = new HTuple();
HTuple hv_R6_PointOrder = new HTuple(), hv_R6_MinDist = new HTuple();
HTuple hv_R6_MaxDist = new HTuple(), hv_R6_AvgDist = new HTuple();
HTuple hv_R6_SigmaDist = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_R6_Circle);
HOperatorSet.GenEmptyObj(out ho_R6_ROI_Image);
HOperatorSet.GenEmptyObj(out ho_R6_Region);
HOperatorSet.GenEmptyObj(out ho_R6_RegionBorder);
HOperatorSet.GenEmptyObj(out ho_R6_RegionDilation);
HOperatorSet.GenEmptyObj(out ho_R6_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_R6_Edges);
HOperatorSet.GenEmptyObj(out ho_R6_ContoursSplit);
HOperatorSet.GenEmptyObj(out ho_R6_SingleSegment);
HOperatorSet.GenEmptyObj(out ho_R6_ContEllipse);
//Measure: SDMS_R6
//Author: John Hsieh
//Date: 2012
// dev_update_off(...); only in hdevelop
HOperatorSet.SetSystem("border_shape_models", "false");
//****Message Args
hv_msgOffsetY = 100;
hv_msgOffsetX = 100;
//****Model Args
//STD 中心點
hv_STD_Row = 772;
hv_STD_Col = 1003;
//目前圖形 中心點
hv_Img_Row = hv_AllModelRow.Clone();
hv_Img_Col = hv_AllModelColumn.Clone();
//目前圖形 Rotate Angle
hv_Img_Rotate_Angle = hv_AllModelAngle.Clone();
//目前圖形偏移量
hv_OffsetRow = hv_Img_Row - hv_STD_Row;
hv_OffsetCol = hv_Img_Col - hv_STD_Col;
//****Display
if (HDevWindowStack.IsOpen())
{
HOperatorSet.ClearWindow(HDevWindowStack.GetActive());
}
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_Image, HDevWindowStack.GetActive());
}
//*****R6
hv_R6 = 999;
//STD R6_ 位置
hv_STD_R6_Row = 1292;
hv_STD_R6_Col = 639;
//STD 向量 STD_R6_
hv_STD_R6_V_Row = hv_STD_R6_Row - hv_STD_Row;
hv_STD_R6_V_Col = hv_STD_R6_Col - hv_STD_Col;
//R6_X, R6_Y 分量
hv_R6_X = (hv_STD_R6_V_Col * (hv_Img_Rotate_Angle.TupleCos())) + (hv_STD_R6_V_Row * (hv_Img_Rotate_Angle.TupleSin()
));
hv_R6_Y = (hv_STD_R6_V_Row * (hv_Img_Rotate_Angle.TupleCos())) - (hv_STD_R6_V_Col * (hv_Img_Rotate_Angle.TupleSin()
));
//目前圖形 R4 位置
hv_R6_Pos_Row = (hv_STD_Row + hv_R6_Y) + hv_OffsetRow;
hv_R6_Pos_Col = (hv_STD_Col + hv_R6_X) + hv_OffsetCol;
//R6_Region 由半徑 29 開始搜尋, 最大搜尋至 41, Inc =2
hv_R6_R = 29;
hv_R6_R_Max = 41;
hv_R6_R_Inc = 2;
while ((int)((new HTuple(hv_R6.TupleEqual(999))).TupleAnd(new HTuple(hv_R6_R.TupleLess(
hv_R6_R_Max)))) != 0)
{
//*******************************
ho_R6_Circle.Dispose();
HOperatorSet.GenCircle(out ho_R6_Circle, hv_R6_Pos_Row, hv_R6_Pos_Col, hv_R6_R);
ho_R6_ROI_Image.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_R6_Circle, out ho_R6_ROI_Image);
ho_R6_Region.Dispose();
HOperatorSet.Threshold(ho_R6_ROI_Image, out ho_R6_Region, 100, 255);
ho_R6_RegionBorder.Dispose();
HOperatorSet.Boundary(ho_R6_Region, out ho_R6_RegionBorder, "inner");
ho_R6_RegionDilation.Dispose();
HOperatorSet.DilationCircle(ho_R6_RegionBorder, out ho_R6_RegionDilation,
1.5);
ho_R6_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_R6_ROI_Image, ho_R6_RegionDilation, out ho_R6_ImageReduced
);
ho_R6_Edges.Dispose();
HOperatorSet.EdgesSubPix(ho_R6_ImageReduced, out ho_R6_Edges, "lanser2",
0.3, 40, 90);
//fast_threshold (R6_ROI_Image, R6_Region, 80, 255, 15)
//reduce_domain (R6_ROI_Image, R6_Region, R6_ImageReduced)
//sobel_fast 具有較寬的選擇範圍，搭配 alpha 參數 (alpha 越大, 容錯範圍大)
//alpha := 10
//R6_low := 10
//R6_high := 60
//edges_sub_pix (R6_ImageReduced, R6_Edges, 'sobel_fast', alpha, R6_low, R6_high)
//stop ()
//*所有的數值越小，表示容錯範圍大，反之亦然
ho_R6_ContoursSplit.Dispose();
HOperatorSet.SegmentContoursXld(ho_R6_Edges, out ho_R6_ContoursSplit, "lines_circles",
6, 4, 4);
//Display the results
//===========================================================
HOperatorSet.CountObj(ho_R6_ContoursSplit, out hv_R6_NumSegments);
hv_NumCircles = 0;
hv_Num_Circle_Point = 0;
for (hv_i = 1; hv_i.Continue(hv_R6_NumSegments, 1); hv_i = hv_i.TupleAdd(1))
{
ho_R6_SingleSegment.Dispose();
HOperatorSet.SelectObj(ho_R6_ContoursSplit, out ho_R6_SingleSegment, hv_i);
HOperatorSet.GetContourGlobalAttribXld(ho_R6_SingleSegment, "cont_approx",
out hv_Attrib);
if ((int)(new HTuple(hv_Attrib.TupleEqual(1))) != 0)
{
HOperatorSet.FitCircleContourXld(ho_R6_SingleSegment, "atukey", -1, 2,
hv_Num_Circle_Point, 5, 2, out hv_R6_Row, out hv_R6_Column, out hv_R6_Radius,
out hv_R6_StartPhi, out hv_R6_EndPhi, out hv_R6_PointOrder);
ho_R6_ContEllipse.Dispose();
HOperatorSet.GenEllipseContourXld(out ho_R6_ContEllipse, hv_R6_Row, hv_R6_Column,
0, hv_R6_Radius, hv_R6_Radius, 0, (new HTuple(360)).TupleRad(), "positive",
1.0);
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_R6_ContEllipse, HDevWindowStack.GetActive()
);
}
HOperatorSet.DistEllipseContourXld(ho_R6_SingleSegment, "algebraic",
-1, 0, hv_R6_Row, hv_R6_Column, 0, hv_R6_Radius, hv_R6_Radius, out hv_R6_MinDist,
out hv_R6_MaxDist, out hv_R6_AvgDist, out hv_R6_SigmaDist);
hv_NumCircles = hv_NumCircles + 1;
if ((int)(new HTuple(hv_R6.TupleGreater(hv_R6_Radius))) != 0)
{
hv_R6 = hv_R6_Radius.Clone();
mResult = new CircleResult()
{
Row = new HTuple(hv_R6_Row),
Col = new HTuple(hv_R6_Column),
Radius = new HTuple(hv_R6_Radius),
StartPhi = new HTuple(hv_R6_StartPhi),
EndPhi = new HTuple(hv_R6_EndPhi),
PointOrder = new HTuple(hv_R6_PointOrder),
};
}
}
}
hv_R6_R = hv_R6_R + hv_R6_R_Inc;
}
ho_R6_Circle.Dispose();
ho_R6_ROI_Image.Dispose();
ho_R6_Region.Dispose();
ho_R6_RegionBorder.Dispose();
ho_R6_RegionDilation.Dispose();
ho_R6_ImageReduced.Dispose();
ho_R6_Edges.Dispose();
ho_R6_ContoursSplit.Dispose();
ho_R6_SingleSegment.Dispose();
ho_R6_ContEllipse.Dispose();
return mResult;
}
