public void do_inspect1(HObject ho_Image, HTuple hv_RightModelPath, HTuple hv_TestModelPath,
out HTuple hv_outport_result)
{
// Local iconic variables
HObject ho_UpRectangle = null, ho_UpImageReduced = null;
HObject ho_DownRectangle = null, ho_DownImageReduced = null;
HObject ho_UpSuccessRegions = null, ho_UpSuccessConnectedRegions = null;
HObject ho_UpSuccessSelectedRegions = null, ho_UpSuccessSelectedRegions1 = null;
HObject ho_UpFailRegions = null, ho_UpFailConnectedRegions = null;
HObject ho_UpFailSelectedRegions = null, ho_UpFailSelectedRegions1 = null;
HObject ho_DownSuccessRegions = null, ho_DownSuccessConnectedRegions = null;
HObject ho_DownSuccessSelectedRegions = null, ho_DownSuccessSelectedRegions1 = null;
HObject ho_DownFailRegions = null, ho_DownFailConnectedRegions = null;
HObject ho_DownFailSelectedRegions = null, ho_DownFailSelectedRegions1 = null;
// Local control variables
HTuple hv_Width, hv_Height, hv_RightModelID;
HTuple hv_RightModelRow, hv_RightModelColumn, hv_RightModelAngle;
HTuple hv_RightModelScore, hv_TestModelID = new HTuple();
HTuple hv_UpTestRow = new HTuple(), hv_UpTestColumn = new HTuple();
HTuple hv_UpTestAngle = new HTuple(), hv_UpTestScore = new HTuple();
HTuple hv_DownTestRow = new HTuple(), hv_DownTestColumn = new HTuple();
HTuple hv_DownTestAngle = new HTuple(), hv_DownTestScore = new HTuple();
HTuple hv_upStartStateArea = new HTuple(), hv_upStartStateRow = new HTuple();
HTuple hv_upStartStateColumn = new HTuple(), hv_UpSuccessArea = new HTuple();
HTuple hv_UpSuccessRow = new HTuple(), hv_UpSuccessColumn = new HTuple();
HTuple hv_UpFailArea = new HTuple(), hv_UpFailRow = new HTuple();
HTuple hv_UpFailColumn = new HTuple(), hv_downStartStateArea = new HTuple();
HTuple hv_downStartStateRow = new HTuple(), hv_downStartStateColumn = new HTuple();
HTuple hv_DownSuccessArea = new HTuple(), hv_DownSuccessRow = new HTuple();
HTuple hv_DownSuccessColumn = new HTuple(), hv_DownFailArea = new HTuple();
HTuple hv_DownFailRow = new HTuple(), hv_DownFailColumn = new HTuple();
HTuple hv_outport_upresult = new HTuple(), hv_outport_downresult = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_UpRectangle);
HOperatorSet.GenEmptyObj(out ho_UpImageReduced);
HOperatorSet.GenEmptyObj(out ho_DownRectangle);
HOperatorSet.GenEmptyObj(out ho_DownImageReduced);
HOperatorSet.GenEmptyObj(out ho_UpSuccessRegions);
HOperatorSet.GenEmptyObj(out ho_UpSuccessConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_UpSuccessSelectedRegions);
HOperatorSet.GenEmptyObj(out ho_UpSuccessSelectedRegions1);
HOperatorSet.GenEmptyObj(out ho_UpFailRegions);
HOperatorSet.GenEmptyObj(out ho_UpFailConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_UpFailSelectedRegions);
HOperatorSet.GenEmptyObj(out ho_UpFailSelectedRegions1);
HOperatorSet.GenEmptyObj(out ho_DownSuccessRegions);
HOperatorSet.GenEmptyObj(out ho_DownSuccessConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_DownSuccessSelectedRegions);
HOperatorSet.GenEmptyObj(out ho_DownSuccessSelectedRegions1);
HOperatorSet.GenEmptyObj(out ho_DownFailRegions);
HOperatorSet.GenEmptyObj(out ho_DownFailConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_DownFailSelectedRegions);
HOperatorSet.GenEmptyObj(out ho_DownFailSelectedRegions1);
hv_outport_result = new HTuple();
//read_image (Image, fileName)
HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
HOperatorSet.ReadNccModel(hv_RightModelPath, out hv_RightModelID);
HOperatorSet.FindNccModel(ho_Image, hv_RightModelID, 0, 0, 0.5, 1, 0.5, "true",
0, out hv_RightModelRow, out hv_RightModelColumn, out hv_RightModelAngle,
out hv_RightModelScore);
if ((int)((new HTuple((new HTuple(hv_RightModelScore.TupleLength())).TupleEqual(
0))).TupleOr(new HTuple(((hv_RightModelScore.TupleSelect(0))).TupleLess(0.75)))) != 0)
{
//û�ҵ���λ�����Ҳ����ť��
hv_outport_result = new HTuple();
hv_outport_result[0] = 4;
hv_outport_result[1] = 4;
}
else
{
ho_UpRectangle.Dispose();
HOperatorSet.GenRectangle1(out ho_UpRectangle, (hv_RightModelRow.TupleSelect(
0)) - 305, (hv_RightModelColumn.TupleSelect(0)) - 815, (hv_RightModelRow.TupleSelect(
0)) - 50, (hv_RightModelColumn.TupleSelect(0)) - 70);
ho_UpImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_UpRectangle, out ho_UpImageReduced);
ho_DownRectangle.Dispose();
HOperatorSet.GenRectangle1(out ho_DownRectangle, (hv_RightModelRow.TupleSelect(
0)) - 30, (hv_RightModelColumn.TupleSelect(0)) - 815, (hv_RightModelRow.TupleSelect(
0)) + 230, (hv_RightModelColumn.TupleSelect(0)) - 70);
ho_DownImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_DownRectangle, out ho_DownImageReduced
);
HOperatorSet.ReadNccModel(hv_TestModelPath, out hv_TestModelID);
HOperatorSet.FindNccModel(ho_UpImageReduced, hv_TestModelID, 0, 0, 0.5, 1,
0.5, "true", 0, out hv_UpTestRow, out hv_UpTestColumn, out hv_UpTestAngle,
out hv_UpTestScore);
HOperatorSet.FindNccModel(ho_DownImageReduced, hv_TestModelID, 0, 0, 0.5, 1,
0.5, "true", 0, out hv_DownTestRow, out hv_DownTestColumn, out hv_DownTestAngle,
out hv_DownTestScore);
ho_UpSuccessRegions.Dispose();
HOperatorSet.Threshold(ho_UpImageReduced, out ho_UpSuccessRegions, 0, 2);
HOperatorSet.AreaCenter(ho_UpSuccessRegions, out hv_upStartStateArea, out hv_upStartStateRow,
out hv_upStartStateColumn);
ho_UpSuccessConnectedRegions.Dispose();
HOperatorSet.Connection(ho_UpSuccessRegions, out ho_UpSuccessConnectedRegions
);
ho_UpSuccessSelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_UpSuccessConnectedRegions, out ho_UpSuccessSelectedRegions,
"rectangularity", "and", 0.8, 1);
ho_UpSuccessSelectedRegions1.Dispose();
HOperatorSet.SelectShape(ho_UpSuccessSelectedRegions, out ho_UpSuccessSelectedRegions1,
"area", "and", 10000, 158720);
HOperatorSet.AreaCenter(ho_UpSuccessSelectedRegions1, out hv_UpSuccessArea,
out hv_UpSuccessRow, out hv_UpSuccessColumn);
ho_UpFailRegions.Dispose();
HOperatorSet.Threshold(ho_UpImageReduced, out ho_UpFailRegions, 138, 140);
ho_UpFailConnectedRegions.Dispose();
HOperatorSet.Connection(ho_UpFailRegions, out ho_UpFailConnectedRegions);
ho_UpFailSelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_UpFailConnectedRegions, out ho_UpFailSelectedRegions,
"rectangularity", "and", 0.8, 1);
ho_UpFailSelectedRegions1.Dispose();
HOperatorSet.SelectShape(ho_UpFailSelectedRegions, out ho_UpFailSelectedRegions1,
"area", "and", 10000, 158720);
HOperatorSet.AreaCenter(ho_UpFailSelectedRegions1, out hv_UpFailArea, out hv_UpFailRow,
out hv_UpFailColumn);
ho_DownSuccessRegions.Dispose();
HOperatorSet.Threshold(ho_DownImageReduced, out ho_DownSuccessRegions, 0, 2);
HOperatorSet.AreaCenter(ho_DownSuccessRegions, out hv_downStartStateArea, out hv_downStartStateRow,
out hv_downStartStateColumn);
ho_DownSuccessConnectedRegions.Dispose();
HOperatorSet.Connection(ho_DownSuccessRegions, out ho_DownSuccessConnectedRegions
);
ho_DownSuccessSelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_DownSuccessConnectedRegions, out ho_DownSuccessSelectedRegions,
"rectangularity", "and", 0.8, 1);
ho_DownSuccessSelectedRegions1.Dispose();
HOperatorSet.SelectShape(ho_DownSuccessSelectedRegions, out ho_DownSuccessSelectedRegions1,
"area", "and", 10000, 158720);
HOperatorSet.AreaCenter(ho_DownSuccessSelectedRegions1, out hv_DownSuccessArea,
out hv_DownSuccessRow, out hv_DownSuccessColumn);
ho_DownFailRegions.Dispose();
HOperatorSet.Threshold(ho_DownImageReduced, out ho_DownFailRegions, 138, 140);
ho_DownFailConnectedRegions.Dispose();
HOperatorSet.Connection(ho_DownFailRegions, out ho_DownFailConnectedRegions
);
ho_DownFailSelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_DownFailConnectedRegions, out ho_DownFailSelectedRegions,
"rectangularity", "and", 0.8, 1);
ho_DownFailSelectedRegions1.Dispose();
HOperatorSet.SelectShape(ho_DownFailSelectedRegions, out ho_DownFailSelectedRegions1,
"area", "and", 10000, 158720);
HOperatorSet.AreaCenter(ho_DownFailSelectedRegions1, out hv_DownFailArea, out hv_DownFailRow,
out hv_DownFailColumn);
if ((int)((new HTuple((new HTuple(hv_UpTestScore.TupleLength())).TupleEqual(
0))).TupleOr(new HTuple(((hv_UpTestScore.TupleSelect(0))).TupleLess(0.75)))) != 0)
{
if ((int)((new HTuple((new HTuple(hv_upStartStateArea.TupleLength())).TupleEqual(
0))).TupleOr(new HTuple(hv_upStartStateArea.TupleEqual(0)))) != 0)
{
//��ʼ״̬
hv_outport_upresult = 0;
}
else
{
//������
hv_outport_upresult = 1;
}
}
else
{
if ((int)(new HTuple((new HTuple(hv_UpSuccessArea.TupleLength())).TupleGreater(
0))) != 0)
{
//�Ͽ���Գɹ�
hv_outport_upresult = 2;
}
else if ((int)(new HTuple((new HTuple(hv_UpFailArea.TupleLength()
)).TupleGreater(0))) != 0)
{
//�Ͽ����ʧ��
hv_outport_upresult = 3;
}
else
{
//�ҵ����Խ�����ʶ����֪���Dz��Գɹ����Dz���ʧ��
hv_outport_upresult = 4;
}
}
if ((int)((new HTuple((new HTuple(hv_DownTestScore.TupleLength())).TupleEqual(
0))).TupleOr(new HTuple(((hv_DownTestScore.TupleSelect(0))).TupleLess(0.75)))) != 0)
{
//������
if ((int)((new HTuple((new HTuple(hv_downStartStateArea.TupleLength())).TupleEqual(
0))).TupleOr(new HTuple(hv_downStartStateArea.TupleEqual(0)))) != 0)
{
//��ʼ״̬
hv_outport_downresult = 0;
}
else
{
//������
hv_outport_downresult = 1;
}
}
else
{
if ((int)(new HTuple((new HTuple(hv_DownSuccessArea.TupleLength())).TupleGreater(
0))) != 0)
{
//�¿���Գɹ�
hv_outport_downresult = 2;
}
else if ((int)(new HTuple((new HTuple(hv_DownFailArea.TupleLength()
)).TupleGreater(0))) != 0)
{
//�¿����ʧ��
hv_outport_downresult = 3;
}
else
{
//�ҵ����Խ�����ʶ����֪���Dz��Գɹ����Dz���ʧ��
hv_outport_downresult = 4;
}
}
hv_outport_result[0] = hv_outport_upresult.TupleSelect(0);
hv_outport_result[1] = hv_outport_downresult.TupleSelect(0);
HOperatorSet.ClearNccModel(hv_TestModelID);
}
HOperatorSet.ClearNccModel(hv_RightModelID);
ho_UpRectangle.Dispose();
ho_UpImageReduced.Dispose();
ho_DownRectangle.Dispose();
ho_DownImageReduced.Dispose();
ho_UpSuccessRegions.Dispose();
ho_UpSuccessConnectedRegions.Dispose();
ho_UpSuccessSelectedRegions.Dispose();
ho_UpSuccessSelectedRegions1.Dispose();
ho_UpFailRegions.Dispose();
ho_UpFailConnectedRegions.Dispose();
ho_UpFailSelectedRegions.Dispose();
ho_UpFailSelectedRegions1.Dispose();
ho_DownSuccessRegions.Dispose();
ho_DownSuccessConnectedRegions.Dispose();
ho_DownSuccessSelectedRegions.Dispose();
ho_DownSuccessSelectedRegions1.Dispose();
ho_DownFailRegions.Dispose();
ho_DownFailConnectedRegions.Dispose();
ho_DownFailSelectedRegions.Dispose();
ho_DownFailSelectedRegions1.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();
}
}
private void OnImageProcessedEvent(CCamera instance, HObject ho_Image)
{
try
{
if (InvokeRequired)
{
Invoke(new CCamera.OnImageProcessedEventHandler(OnImageProcessedEvent), new object[] { instance, ho_Image });
return;
}
kk++;
//Console.WriteLine("kk:" +kk);
instance.tempImage.Dispose();
HOperatorSet.CopyImage(instance.Image, out instance.tempImage);
HTuple cwindow = new HTuple();
switch (instance.logicName)
{
case "CCD1": cwindow = hWindowControl1.HalconWindow;
break;
case "CCD2": cwindow = hWindowControl2.HalconWindow;
break;
case "CCD3": cwindow = hWindowControl3.HalconWindow;
break;
case "CCD4": cwindow = hWindowControl4.HalconWindow;
break;
case "CCD5": cwindow = hWindowControl5.HalconWindow;
break;
//case "CCD6": cwindow = hWindowControl6.HalconWindow;
// break;
}
for (int i = 0; i < 6; i++)
{
if (instance.logicName == "CCD" + i.ToString())
{
HOperatorSet.SetColor(cwindow, "green");
HOperatorSet.SetDraw(cwindow, "margin");
HTuple w, h;
HOperatorSet.GetImageSize(ho_Image, out w, out h);
HOperatorSet.SetPart(cwindow, 0, 0, h, w);
HOperatorSet.DispObj(ho_Image, cwindow);
if (instance.RegionToDisp.IsInitialized() && instance.resultHTuple.Length > 0)
{
HOperatorSet.DispObj(instance.RegionToDisp, cwindow);
HalconHelp.set_display_font(cwindow, 14, "courier", "false", "false");
HalconHelp.disp_message(cwindow, instance.resultHTuple, "window", 10, 10, "green", "false");
}
}
}
switch (instance.logicName)
{
case "CCD1": cwindow = hWindowControl6.HalconWindow;
break;
case "CCD2": cwindow = hWindowControl7.HalconWindow;
break;
case "CCD3": cwindow = hWindowControl8.HalconWindow;
break;
case "CCD4": cwindow = hWindowControl9.HalconWindow;
break;
case "CCD5": cwindow = hWindowControl10.HalconWindow;
break;
}
for (int i = 0; i < 6; i++)
{
if (instance.logicName == "CCD" + i.ToString())
{
HOperatorSet.SetColor(cwindow, "green");
HOperatorSet.SetDraw(cwindow, "margin");
HTuple w, h;
HOperatorSet.GetImageSize(ho_Image, out w, out h);
HOperatorSet.SetPart(cwindow, 0, 0, h, w);
HOperatorSet.DispObj(ho_Image, cwindow);
if (instance.RegionToDisp.IsInitialized() && instance.resultHTuple.Length > 0)
{
HOperatorSet.DispObj(instance.RegionToDisp, cwindow);
//if (instance.logicName == "CCD1")
//{
// HalconHelp.set_display_font(cwindow, 14, "courier", "false", "false");
// HalconHelp.disp_message(cwindow, instance.resultHTuple, "window", 2, 2, "green", "false");
//}
}
}
}
DataRowCollection drc = ds.Tables["detailTable"].Rows;
int rs = 0;
string shijian = DateTime.Now.Year.ToString() + DateTime.Now.Month.ToString() + DateTime.Now.Day.ToString();
string path = PathHelper.currentProductPath + @"\" + shijian + ".txt";
foreach (DataRow dr in drc)
{
string s = dr[0].ToString();
if (dr[0].ToString() == instance.logicName)
{
if (instance.result.resultToShow.Count > rs)
{
double cl = double.Parse(instance.result.resultToShow[rs].data);
double xz = (double)dr[2];
dr[5] = Math.Round((cl + xz), 3);
if (double.Parse(dr[5].ToString()) <= double.Parse(dr[3].ToString()) && double.Parse(dr[5].ToString()) >= double.Parse(dr[4].ToString()))
{
dr[6] = "OK";
}
else
{
dr[6] = "NG";
}
if (instance.goodcountlist.Count() != 0)
{
dr[7] = Math.Round((double)(instance.goodcountlist[rs] / (double)Turntable.Instance.pn.totalCount * 100), 2).ToString() + "%";
//Console.WriteLine("" + instance.goodcountlist[rs] + "---" + (double)Turntable.Instance.pn.totalCount);
}
rs++;
}
else
{
dr[5] = 0;
}
// File.AppendAllText(path,dr[1].ToString() + " " + dr[5].ToString(), Encoding.Default);
}
}
//File.AppendAllText(path,Environment.NewLine, Encoding.Default);
DataHelper.CheckData(ds, instance.logicName, instance);
}
catch (Exception e)
{
MyDebug.ShowMessage("界面图像处" + e.Message);
}
finally
{
ho_Image.Dispose();
instance.RegionToDisp.Dispose();
instance.Image.Dispose();
instance.resultHTuple = new HTuple();
//UpdateProInfo();
}
}
public MeasureResult Action()
{
#region 輸出結果
DistanceResult mResult = null;
#endregion
HTuple hv_STD_Row;
HTuple hv_STD_Col, hv_Img_Row, hv_Img_Col, hv_Img_Rotate_Angle;
HTuple hv_OffsetRow, hv_OffsetCol;
HOperatorSet.SetSystem("border_shape_models", "false");
//STD 中心點
hv_STD_Row = 839.5;
hv_STD_Col = 1046.5;
//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;
//第一個 線段 ROI
HTuple f_ROI_Row = 353.060546875;
HTuple f_ROI_Col = 831.539215686274;
HTuple f_angle = 1.5707963267949;
HTuple f_ROI_Length1 = 43.041015625;
HTuple f_ROI_Length2 = 176.091503267974;
HTuple f_angle_offset = f_angle - hv_Img_Rotate_Angle;
HTuple f_ROI_Cur_Row, f_ROI_Cur_Col;
PositionLocater.ReLocater(hv_STD_Row, hv_STD_Col, hv_AllModelAngle, hv_OffsetRow, hv_OffsetCol, f_ROI_Row, f_ROI_Col, out f_ROI_Cur_Row, out f_ROI_Cur_Col);
//第二個 線段 ROI
HTuple s_ROI_Row = 856.97265625;
HTuple s_ROI_Col = 712.908496732026;
HTuple s_angle = -1.5707963267949;
HTuple s_ROI_Length1 = 34.48828125;
HTuple s_ROI_Length2 = 51.6617647058824;
HTuple s_angle_offset = s_angle - hv_Img_Rotate_Angle;
HTuple s_ROI_Cur_Row, s_ROI_Cur_Col;
PositionLocater.ReLocater(hv_STD_Row, hv_STD_Col, hv_AllModelAngle, hv_OffsetRow, hv_OffsetCol
, s_ROI_Row, s_ROI_Col, out s_ROI_Cur_Row, out s_ROI_Cur_Col);
/**/
#region Measure
var cROIController = new ROIController();
var cAssistant = new MeasureAssistant(cROIController);
var hImage = ho_Image as HImage;
cAssistant.setImage(hImage);
/*參數值*/
cAssistant.mThresh = 40.0;
cAssistant.mSigma = 1.0;
cAssistant.mRoiWidth = 10;
cAssistant.mInterpolation = "nearest_neighbor";
cAssistant.mSelPair = false;
cAssistant.mTransition = "all";
cAssistant.mPosition = "all";
cAssistant.mDispEdgeLength = 30;
cAssistant.mDispROIWidth = true;
cAssistant.setUnit("cm");
cAssistant.mInitThresh = 40.0;
cAssistant.mInitSigma = 1.0;
cAssistant.mInitRoiWidth = 10;
var roiF = new ROIRectangle2()
{
ROIMeasureType = MeasureType.Line
};
//roiF.MakeROI(416, 998, 0, 26.5, 71.2);
roiF.MakeROI(f_ROI_Cur_Row, f_ROI_Cur_Col, f_angle_offset, f_ROI_Length1, f_ROI_Length2);
var roiS = new ROIRectangle2()
{
ROIMeasureType = MeasureType.Line
};
//roiS.MakeROI(400, 1041, 0, 13.3, 75.7);
roiS.MakeROI(s_ROI_Cur_Row, s_ROI_Cur_Col, s_angle_offset, s_ROI_Length1, s_ROI_Length2);
var lineF = new MeasurementEdge(roiF, cAssistant);
var lineS = new MeasurementEdge(roiS, cAssistant);
mResult = DistanceHelper.LineToLine(lineF, lineS, this.hv_AllModelAngle, LineDirection.Vertical);
#endregion
return(mResult);
}
// Main procedure
private void action()
{
// Local iconic variables
HObject ho_Rectangle, ho_ImageReduced;
HObject ho_Region, ho_Circle;
// Local control variables
HTuple hv_Row1 = null;
HTuple hv_Column1 = null, hv_Radius = 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_Circle);
HOperatorSet.Union1(algorithm.Region, out RegionToDisp);
try
{
ho_Rectangle.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle, DRow1m, DCol1m, DPhi, DLength1, DLength2);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(Image, ho_Rectangle, out ho_ImageReduced);
// ho_ImageMean.Dispose();
// HOperatorSet.MeanImage(ho_ImageReduced, out ho_ImageMean, 30, 30);
// ho_RegionDynThresh.Dispose();
// HOperatorSet.DynThreshold(ho_ImageReduced, ho_ImageMean, out ho_RegionDynThresh,
// 70, "dark");
ho_Region.Dispose();
HOperatorSet.Threshold(ho_ImageReduced, out ho_Region, 0, 128);
HOperatorSet.SmallestCircle(ho_Region, out hv_Row1, out hv_Column1, out hv_Radius);
ho_Circle.Dispose();
HOperatorSet.GenCircle(out ho_Circle, hv_Row1, hv_Column1, hv_Radius);
HOperatorSet.Union1(ho_Region, out RegionToDisp);
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("直径");
hv_result = hv_result.TupleConcat(hv_Radius.D * 2 * pixeldist);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Region.Dispose();
ho_Circle.Dispose();
algorithm.Region.Dispose();
}
catch
{
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("直径");
hv_result = hv_result.TupleConcat(0);
result = hv_result.Clone();
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Region.Dispose();
ho_Circle.Dispose();
algorithm.Region.Dispose();
}
finally
{
ho_Rectangle.Dispose();
ho_ImageReduced.Dispose();
ho_Region.Dispose();
ho_Circle.Dispose();
algorithm.Region.Dispose();
}
}
private void ModelWrite_Click(object sender, EventArgs e)
{
HObject ImageReduced;
HOperatorSet.GenEmptyObj(out ImageReduced);
try
{
hWindowControl1.Focus();
HOperatorSet.DispObj(m_Image, m_hWindowHandle);
HTuple Row, Column, Phi, Length1, Length2;
HOperatorSet.GenEmptyObj(out ImageReduced);
//判断图像是否为空
if (!m_Image.IsInitialized())
{
return;
}
//Model = Vision.Model;
//模板不为空，释放掉
vision.Model.ClearShapeModel(ref vision.Model.m_ModelID);
//刷新图形
vision.UpdateImage(m_Image, ref m_objDisp, m_hWindowHandle, true);
//提示信息
vision.disp_message(m_hWindowHandle, "画模板区域，点击鼠标右键确认", "window", 20, 20, "red", "false");
//画并产生模板区域
HOperatorSet.DrawRectangle2(m_hWindowHandle, out Row, out Column, out Phi, out Length1, out Length2);
vision.Model.m_ModelRegion.Dispose();
HOperatorSet.GenRectangle2(out vision.Model.m_ModelRegion, Row, Column, Phi, Length1, Length2);
ImageReduced.Dispose();
HOperatorSet.ReduceDomain(m_Image, vision.Model.m_ModelRegion, out ImageReduced);
vision.Concat_Obj(ref m_objDisp, ref vision.Model.m_ModelRegion, ref m_objDisp);
// m_objDisp.ConcatObj(Vision.Model.m_ModelRegion);
//裁剪模板区域图像
// reduce_domain(m_Image,theApp.m_ModelRegion,&ImageReduced);
//添加模板区域到显示图形
// concat_obj(m_objDisp,theApp.m_ModelRegion,&m_objDisp);
//创建模板
vision.Model.ClearShapeModel(ref vision.Model.m_ModelID);
HOperatorSet.CreateShapeModel(ImageReduced, "auto", new HTuple(-180).TupleRad(), new HTuple(360).TupleRad(), "auto", "auto",
"use_polarity", "auto", "auto", out vision.Model.m_ModelID);
HOperatorSet.DispObj(m_objDisp, m_hWindowHandle);
//刷新图形
vision.UpdateImage(m_Image, ref m_objDisp, m_hWindowHandle, false);
//提示信息
if (vision.Model.m_ModelID > -1)
{
vision.disp_message(m_hWindowHandle, "创建模板成功!", "window", 20, 20, "green", "false");
}
else
{
vision.disp_message(m_hWindowHandle, "创建模板失败!", "window", 20, 20, "red", "false");
}
}
catch (HalconException HDevExpDefaultException)
{
ImageReduced.Dispose();
vision.UpdateImage(m_Image, ref m_objDisp, m_hWindowHandle, true);
vision.disp_message(m_hWindowHandle, "创建模板过程失败!", "window", 20, 20, "red", "false");
// throw HDevExpDefaultException;
}
ImageReduced.Dispose();
}
//DateTime t1, t2, t3, t4,t5,t6,t7;
private void action()
{
HObject ho_Region = null, ho_RegionClosing = null;
HObject ho_RegionErosion = null, ho_ImageReduced = null, ho_Edges = null;
HObject ho_SelectedContours = null, ho_SelectedContours1 = null;
HObject ho_SelectedContours2 = null, ho_ObjectsConcat = null;
HObject ho_Region1 = null, ho_RegionUnion = null, ho_RegionClosing1 = null;
HObject ho_ConnectedRegions = null, ho_SelectedRegions = null;
HObject ho_Rectangle = null, ho_Rectangle1 = null, ho_ImageReduced1 = null;
HObject ho_Edges2 = null, ho_ContoursSplit = null, ho_UnionContours = null;
HObject ho_RegionLines = null;
// Local control variables
HTuple hv_Row = new HTuple(), hv_i = new HTuple(), hv_Sorted = new HTuple();
HTuple hv_Column = new HTuple(), hv_Phi = new HTuple();
HTuple hv_Length1 = new HTuple(), hv_Length2 = new HTuple();
HTuple hv_RowBegin = new HTuple(), hv_ColBegin = new HTuple();
HTuple hv_RowEnd = new HTuple(), hv_ColEnd = new HTuple();
HTuple hv_Nr = new HTuple(), hv_Nc = new HTuple(), hv_Dist = new HTuple();
HTuple hv_RowBeginOut = new HTuple(), hv_ColBeginOut = new HTuple();
HTuple hv_RowEndOut = new HTuple(), hv_ColEndOut = new HTuple();
HTuple hv_Distance = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Region);
HOperatorSet.GenEmptyObj(out ho_RegionClosing);
HOperatorSet.GenEmptyObj(out ho_RegionErosion);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Edges);
HOperatorSet.GenEmptyObj(out ho_SelectedContours);
HOperatorSet.GenEmptyObj(out ho_SelectedContours1);
HOperatorSet.GenEmptyObj(out ho_SelectedContours2);
HOperatorSet.GenEmptyObj(out ho_ObjectsConcat);
HOperatorSet.GenEmptyObj(out ho_Region1);
HOperatorSet.GenEmptyObj(out ho_RegionUnion);
HOperatorSet.GenEmptyObj(out ho_RegionClosing1);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions);
HOperatorSet.GenEmptyObj(out ho_Rectangle);
HOperatorSet.GenEmptyObj(out ho_Rectangle1);
HOperatorSet.GenEmptyObj(out ho_ImageReduced1);
HOperatorSet.GenEmptyObj(out ho_Edges2);
HOperatorSet.GenEmptyObj(out ho_ContoursSplit);
HOperatorSet.GenEmptyObj(out ho_UnionContours);
HOperatorSet.GenEmptyObj(out ho_RegionLines);
HOperatorSet.Union1(algorithm.Region, out RegionToDisp);
//t3 = DateTime.Now;
try
{
ho_Region.Dispose();
HOperatorSet.Threshold(Image, out ho_Region, 0, 128);
ho_RegionClosing.Dispose();
HOperatorSet.ClosingCircle(ho_Region, out ho_RegionClosing, 33.5);
ho_RegionErosion.Dispose();
HOperatorSet.ErosionCircle(ho_RegionClosing, out ho_RegionErosion, 13.5);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(Image, ho_RegionErosion, out ho_ImageReduced);
ho_Edges.Dispose();
HOperatorSet.EdgesSubPix(ho_ImageReduced, out ho_Edges, "canny", 1, 20, 20);
ho_SelectedContours.Dispose();
HOperatorSet.SelectContoursXld(ho_Edges, out ho_SelectedContours, "contour_length",
10, 400, -0.5, 0.5);
ho_SelectedContours1.Dispose();
HOperatorSet.SelectContoursXld(ho_SelectedContours, out ho_SelectedContours1,
"direction", (new HTuple(20)).TupleRad(), (new HTuple(70)).TupleRad(),
-0.5, 0.5);
ho_SelectedContours2.Dispose();
HOperatorSet.SelectContoursXld(ho_SelectedContours, out ho_SelectedContours2,
"direction", (new HTuple(110)).TupleRad(), (new HTuple(160)).TupleRad()
, -0.5, 0.5);
ho_ObjectsConcat.Dispose();
HOperatorSet.ConcatObj(ho_SelectedContours1, ho_SelectedContours2, out ho_ObjectsConcat
);
ho_Region1.Dispose();
HOperatorSet.GenRegionContourXld(ho_ObjectsConcat, out ho_Region1, "filled");
ho_RegionUnion.Dispose();
HOperatorSet.Union1(ho_Region1, out ho_RegionUnion);
ho_RegionClosing1.Dispose();
HOperatorSet.ClosingCircle(ho_RegionUnion, out ho_RegionClosing1, 15);
ho_ConnectedRegions.Dispose();
HOperatorSet.Connection(ho_RegionClosing1, out ho_ConnectedRegions);
ho_SelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_ConnectedRegions, out ho_SelectedRegions, "area",
"and", 1500, 999990);
HOperatorSet.SmallestRectangle2(ho_SelectedRegions, out hv_Row, out hv_Column,
out hv_Phi, out hv_Length1, out hv_Length2);
if ((int)(new HTuple((new HTuple(hv_Row.TupleLength())).TupleGreater(0))) != 0)
{
ho_Rectangle.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle, hv_Row, hv_Column, hv_Phi, hv_Length1,
hv_Length2);
ho_Rectangle1.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle1, hv_Row1, hv_Column1, hv_Phi1,
hv_Length11, hv_Length21);
ho_ImageReduced1.Dispose();
HOperatorSet.ReduceDomain(Image, ho_Rectangle1, out ho_ImageReduced1);
ho_Edges2.Dispose();
HOperatorSet.EdgesSubPix(ho_ImageReduced1, out ho_Edges2, "canny", 1, 20,
20);
ho_ContoursSplit.Dispose();
HOperatorSet.SegmentContoursXld(ho_Edges2, out ho_ContoursSplit, "lines_circles",
5, 4, 2);
ho_UnionContours.Dispose();
HOperatorSet.UnionCollinearContoursXld(ho_ContoursSplit, out ho_UnionContours,
1000, 2, 11, 0.1, "attr_keep");
HOperatorSet.FitLineContourXld(ho_UnionContours, "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);
if (hv_ColEnd.TupleLength() > 0)
{
HOperatorSet.SelectLinesLongest(hv_RowBegin, hv_ColBegin, hv_RowEnd, hv_ColEnd,
1, out hv_RowBeginOut, out hv_ColBeginOut, out hv_RowEndOut, out hv_ColEndOut);
HOperatorSet.DistancePl(hv_Row, hv_Column, hv_RowBeginOut, hv_ColBeginOut,
hv_RowEndOut, hv_ColEndOut, out hv_Distance);
ho_RegionLines.Dispose();
HOperatorSet.GenRegionLine(out ho_RegionLines, hv_RowBeginOut, hv_ColBeginOut,
hv_RowEndOut, hv_ColEndOut);
HOperatorSet.Union2(ho_RegionLines, ho_Rectangle, out RegionToDisp);
HOperatorSet.TupleSort(hv_Distance, out hv_Sorted);
HTuple hv_result = GetHv_result();
for (hv_i = 0; (int)hv_i <= (int)((new HTuple(hv_Length1.TupleLength())) - 1); hv_i = (int)hv_i + 1)
{
hv_result = hv_result.TupleConcat("位置" + hv_i.I.ToString());
hv_result = hv_result.TupleConcat(hv_Sorted.TupleSelect(hv_i) * pixeldist);
}
result = hv_result.Clone();
}
ho_Region.Dispose();
ho_RegionClosing.Dispose();
ho_RegionErosion.Dispose();
ho_ImageReduced.Dispose();
ho_Edges.Dispose();
ho_SelectedContours.Dispose();
ho_SelectedContours1.Dispose();
ho_SelectedContours2.Dispose();
ho_ObjectsConcat.Dispose();
ho_Region1.Dispose();
ho_RegionUnion.Dispose();
ho_RegionClosing1.Dispose();
ho_ConnectedRegions.Dispose();
ho_SelectedRegions.Dispose();
ho_Rectangle.Dispose();
ho_Rectangle1.Dispose();
ho_ImageReduced1.Dispose();
ho_Edges2.Dispose();
ho_ContoursSplit.Dispose();
ho_UnionContours.Dispose();
ho_RegionLines.Dispose();
algorithm.Region.Dispose();
//t4 = DateTime.Now;
}
else
{
HTuple hv_result = GetHv_result();
for (hv_i = 0; (int)hv_i <= 10; hv_i = (int)hv_i + 1)
{
hv_result = hv_result.TupleConcat("位置" + hv_i.I.ToString());
hv_result = hv_result.TupleConcat(0);
}
result = hv_result.Clone();
ho_Region.Dispose();
ho_RegionClosing.Dispose();
ho_RegionErosion.Dispose();
ho_ImageReduced.Dispose();
ho_Edges.Dispose();
ho_SelectedContours.Dispose();
ho_SelectedContours1.Dispose();
ho_SelectedContours2.Dispose();
ho_ObjectsConcat.Dispose();
ho_Region1.Dispose();
ho_RegionUnion.Dispose();
ho_RegionClosing1.Dispose();
ho_ConnectedRegions.Dispose();
ho_SelectedRegions.Dispose();
ho_Rectangle.Dispose();
ho_Rectangle1.Dispose();
ho_ImageReduced1.Dispose();
ho_Edges2.Dispose();
ho_ContoursSplit.Dispose();
ho_UnionContours.Dispose();
ho_RegionLines.Dispose();
}
}
catch
{
HTuple hv_result = GetHv_result();
for (hv_i = 0; (int)hv_i <= 10; hv_i = (int)hv_i + 1)
{
hv_result = hv_result.TupleConcat("位置" + hv_i.I.ToString());
hv_result = hv_result.TupleConcat(0);
}
result = hv_result.Clone();
ho_Region.Dispose();
ho_RegionClosing.Dispose();
ho_RegionErosion.Dispose();
ho_ImageReduced.Dispose();
ho_Edges.Dispose();
ho_SelectedContours.Dispose();
ho_SelectedContours1.Dispose();
ho_SelectedContours2.Dispose();
ho_ObjectsConcat.Dispose();
ho_Region1.Dispose();
ho_RegionUnion.Dispose();
ho_RegionClosing1.Dispose();
ho_ConnectedRegions.Dispose();
ho_SelectedRegions.Dispose();
ho_Rectangle.Dispose();
ho_Rectangle1.Dispose();
ho_ImageReduced1.Dispose();
ho_Edges2.Dispose();
ho_ContoursSplit.Dispose();
ho_UnionContours.Dispose();
ho_RegionLines.Dispose();
}
}
public RectData FindRectNew(HObject ho_Image, double calival)
{
RectData myResult = new RectData();
myResult.Found = false;
try
{
HTuple hv_Width, hv_Height, hv_Mean, hv_Deviation;
HObject ho_Rect, ho_EmptyImage, hv_selectedShape, ho_ConnectedRegion, ho_ShapeModelRegion, hV_reducedImg;
HObject ho_ShapeModel;
HTuple hv_RowCheck = new HTuple(), hv_ColumnCheck = new HTuple();
HTuple hv_AngleCheck = new HTuple(), hv_ScaleCheck = new HTuple();
HTuple hv_Score = new HTuple(), hv_j = new HTuple(), hv_MovementOfObject = new HTuple();
HTuple hv_MoveAndScaleOfObject = new HTuple();
hv_Mean = new HTuple(); hv_Deviation = new HTuple();
HTuple hv_Y, hv_X, hv_AngRad, hv_HalfWidth, hv_HalfLength, hv_PtOrder;
HObject ho_Rectangle;
hv_Width = new HTuple();
hv_Height = new HTuple();
hv_Y = new HTuple();
hv_X = new HTuple();
hv_AngRad = new HTuple();
hv_HalfWidth = new HTuple();
hv_HalfLength = new HTuple();
hv_PtOrder = new HTuple();
HTuple hv_Number = new HTuple();
//Init Variable
HOperatorSet.GenEmptyObj(out ho_Rect);
HOperatorSet.GenEmptyObj(out ho_EmptyImage);
HOperatorSet.GenEmptyObj(out hv_selectedShape);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegion);
HOperatorSet.GenEmptyObj(out ho_ShapeModelRegion);
HOperatorSet.GenEmptyObj(out ho_ShapeModel);
HOperatorSet.GenEmptyObj(out hV_reducedImg);
//HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
//HOperatorSet.SetWindowAttr("background_color", "black");
HOperatorSet.Threshold(ho_Image, out ho_ShapeModelRegion, 53, 255);
HOperatorSet.Connection(ho_ShapeModelRegion, out ho_ConnectedRegion);
//HOperatorSet.CountObj(ho_ConnectedRegion, out hv_Number);
HOperatorSet.SelectShape(ho_ConnectedRegion, out hv_selectedShape, "area", "and", 150000, 330000); //Alvin 28July16 2500
HOperatorSet.SmallestRectangle2(hv_selectedShape, out hv_Y, out hv_X, out hv_AngRad, out hv_HalfWidth, out hv_HalfLength);
if (hv_X.Length != 0)
{
//20161224@Brando
int i = 0;
HTuple h_temp = 0;
for (int t = 0; t < hv_X.Length; t++)
{
if (hv_Y[t] > h_temp)
{
h_temp = hv_Y[t];
i = t;
}
}
HOperatorSet.GenRectangle2(out ho_Rectangle, hv_Y[i].D, hv_X[i].D, hv_AngRad[i].D, hv_HalfWidth[i].D, hv_HalfLength[i].D);
HOperatorSet.Intensity(ho_Rectangle, ho_Image, out hv_Mean, out hv_Deviation);
myResult.Means = hv_Mean.D;
//20161027
HOperatorSet.ReduceDomain(ho_Image, ho_Rectangle, out hV_reducedImg);
HOperatorSet.CropDomain(hV_reducedImg, out myResult.InspectedImage);
if ((myResult.Means > 90) && (myResult.Means < 160))//20161101 FROM 220 TO 230
{
myResult.Found = true;
myResult.X = hv_X[i].D;
myResult.Y = hv_Y[i].D;
myResult.Angle = hv_AngRad[i].D;
myResult.Width = hv_HalfWidth[i].D * 2;
myResult.Height = hv_HalfLength[i].D * 2;
myResult.isCircle = false;
//myResult.rect_border = ho_Rectangle;//hv_selectedShape;
if (Para.isWidth818)
{
if ((myResult.X < 200) || (myResult.X - hv_HalfWidth[i].D) < (0.2 / calival) || (myResult.X + hv_HalfWidth[i].D + (0.2 / calival)) > 2583 || (myResult.Height < 150) || (myResult.Y < 300) || (myResult.Width < (7.721 / calival)) || (myResult.Width > (8.639 / calival)) || (myResult.Angle * 180 / 3.14 > 10) || (myResult.Angle * 180 / 3.14 < -10))
{
myResult.Found = false;
}
}
else
{
if ((myResult.X < 200) || (myResult.X - hv_HalfWidth[i].D) < (0.2 / calival) || (myResult.X + hv_HalfWidth[i].D + (0.2 / calival)) > 2583 || (myResult.Height < 150) || (myResult.Y < 300) || (myResult.Width < (8.74 / calival)) || (myResult.Width > 9.66 / calival) || (myResult.Angle * 180 / 3.14 > 10) || (myResult.Angle * 180 / 3.14 < -10))
{
myResult.Found = false;
}
}
}
}
}
catch (Exception ex)
{ }
return(myResult);
}
public RectData FindCircle(HObject ho_Image)
{
RectData myResult = new RectData();
HTuple hv_Width, hv_Height, hv_Mean, hv_Deviation;
HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
HOperatorSet.SetWindowAttr("background_color", "black");
HTuple hv_RadiusCircle, hv_SizeSynthImage;
HObject ho_Circle, ho_EmptyImage, ho_SyntheticModelImage, ho_ShapeModelImage, ho_ShapeModelRegion;
HObject ho_ShapeModel;
HTuple hv_ModelID, hv_RowCheck = new HTuple(), hv_ColumnCheck = new HTuple();
HTuple hv_AngleCheck = new HTuple(), hv_ScaleCheck = new HTuple();
HTuple hv_Score = new HTuple(), hv_j = new HTuple(), hv_MovementOfObject = new HTuple();
HTuple hv_MoveAndScaleOfObject = new HTuple();
hv_Mean = new HTuple(); hv_Deviation = new HTuple();
HObject hV_reducedImg;
//Init Variable
HOperatorSet.GenEmptyObj(out ho_Circle);
HOperatorSet.GenEmptyObj(out ho_EmptyImage);
HOperatorSet.GenEmptyObj(out ho_SyntheticModelImage);
HOperatorSet.GenEmptyObj(out ho_ShapeModelImage);
HOperatorSet.GenEmptyObj(out ho_ShapeModelRegion);
HOperatorSet.GenEmptyObj(out ho_ShapeModel);
HOperatorSet.GenEmptyObj(out hV_reducedImg);
//step 1: Generate Default Circle Shape
hv_RadiusCircle = 190;
hv_SizeSynthImage = (2 * hv_RadiusCircle) + 10;
ho_Circle.Dispose();
HOperatorSet.GenEllipseContourXld(out ho_Circle, hv_SizeSynthImage / 2, hv_SizeSynthImage / 2,
0, hv_RadiusCircle, hv_RadiusCircle, 0, 6.28318, "positive", 1.5);
//step 2: create an image and insert the XLD
ho_EmptyImage.Dispose();
HOperatorSet.GenImageConst(out ho_EmptyImage, "byte", hv_SizeSynthImage, hv_SizeSynthImage);
ho_SyntheticModelImage.Dispose();
HOperatorSet.PaintXld(ho_Circle, ho_EmptyImage, out ho_SyntheticModelImage, 128);
//step 3: create the model
ho_ShapeModelImage.Dispose();
ho_ShapeModelRegion.Dispose();
HOperatorSet.InspectShapeModel(ho_SyntheticModelImage, out ho_ShapeModelImage, out ho_ShapeModelRegion, 1, 30);
HOperatorSet.CreateScaledShapeModel(ho_SyntheticModelImage, "auto", 0, 0, 0.01,
0.8, 1.2, "auto", "none", "use_polarity", 30, 10, out hv_ModelID);
ho_ShapeModel.Dispose();
HOperatorSet.GetShapeModelContours(out ho_ShapeModel, hv_ModelID, 1);
//Step 4 : Find the Circle
HOperatorSet.FindScaledShapeModel(ho_Image, hv_ModelID, 0, 0, 0.4,
1.6, 0.6, 0, 0.5, "least_squares", 3, 0, out hv_RowCheck, out hv_ColumnCheck,
out hv_AngleCheck, out hv_ScaleCheck, out hv_Score);
List <DPoint> CirCtr = new List <DPoint>();
if ((hv_Score.Length != 0) && (hv_RadiusCircle > 100))
{
for (int i = 0; i < hv_Score.Length; i++)
{
CirCtr.Add(new DPoint(hv_ColumnCheck[i].D, hv_RowCheck[i].D));
HObject ho_Rect = new HObject();
HOperatorSet.GenCircle(out ho_Rect, hv_RowCheck[i].D, hv_ColumnCheck[i].D, hv_RadiusCircle * hv_ScaleCheck[i].D);
HOperatorSet.Intensity(ho_Rect, ho_Image, out hv_Mean, out hv_Deviation);
//myResult.Means = hv_Mean.D;
//HOperatorSet.RegionToLabel(ho_Rect, out myResult.InspectedImage, "byte", hv_RadiusCircle * hv_ScaleCheck[i].D * 2, hv_RadiusCircle * hv_ScaleCheck[i].D * 2);
//string DataFileName = @"D:\";
//string temp1 = DataFileName + "Test";
//HOperatorSet.WriteImage(myResult.InspectedImage, "bmp", 0, temp1);
if ((hv_Mean.D > 100))//(myResult.Means < 220) &&
{
HOperatorSet.ReduceDomain(ho_Image, ho_Rect, out hV_reducedImg);
HOperatorSet.CropDomain(hV_reducedImg, out myResult.InspectedImage);
myResult.Found = true;
myResult.X = hv_ColumnCheck[i].D;
myResult.Y = hv_RowCheck[i].D;
myResult.Radius = hv_RadiusCircle * hv_ScaleCheck[i].D;
myResult.isCircle = true;
myResult.Means = hv_Mean.D;
//break;
}
//myResult.InspectedImage = ho_Rect;
}
}
//if (myResult.Found)
//{
// if (CirCtr.Count == 2)
// {
// myResult.Angle = Helper.GetRadianAngleBetween(CirCtr[0], CirCtr[1]);
// }
//}
return(myResult);
}
/// <summary>
/// 黑点检测20171010
/// </summary>
/// <param name="barcode"></param>
/// <param name="ho_Image"></param>
/// <param name="pixel_MM"></param>
/// <returns></returns>
public BlackParaList BlackDotInspect(string barcode, string modle, HObject ho_Image, double pixel_MM, string ImagePath)
{
BlackParaList blackParaReturn = new BlackParaList();
// Local iconic variables
HObject ho_Domain11, ho_ImageScaled;
HObject ho_Regions, ho_RegionFillUp, ho_SelectObjregion;
HObject ho_RegionErosion, ho_ImageReduced1, ho_ImageEmphasize;
HObject ho_Region2, ho_ConnectedRegions, ho_SelectedRegions;
HObject ho_RegionDilation = null, ho_Circle = null, ho_ImageResult = null;
// Local control variables
HTuple hv_AbsoluteHisto, hv_RelativeHisto;
HTuple hv_Max, hv_maxGrayValue;
HTuple hv_NumDot = null, hv_Name = null, hv_Width = null, hv_RowY = null, hv_ColumnX = null, hv_Area1 = null;
HTuple hv_Height = null, hv_radius_MM = null, hv_radius_Pixel = null;
HTuple hv_area_Pixel = null, hv_Number = null, hv_Row = new HTuple();
HTuple hv_Column = new HTuple(), hv_Radius = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_SelectObjregion);
HOperatorSet.GenEmptyObj(out ho_Regions);
HOperatorSet.GenEmptyObj(out ho_RegionFillUp);
HOperatorSet.GenEmptyObj(out ho_RegionErosion);
HOperatorSet.GenEmptyObj(out ho_ImageReduced1);
HOperatorSet.GenEmptyObj(out ho_ImageEmphasize);
HOperatorSet.GenEmptyObj(out ho_Region2);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions);
HOperatorSet.GenEmptyObj(out ho_RegionDilation);
HOperatorSet.GenEmptyObj(out ho_Circle);
HOperatorSet.GenEmptyObj(out ho_ImageResult);
HOperatorSet.GenEmptyObj(out ho_Domain11);
HOperatorSet.GenEmptyObj(out ho_ImageScaled);
hv_NumDot = 0;
hv_Name = barcode;
HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
ho_Domain11.Dispose();
HOperatorSet.GetDomain(ho_Image, out ho_Domain11);
HOperatorSet.GrayHisto(ho_Domain11, ho_Image, out hv_AbsoluteHisto, out hv_RelativeHisto);
HOperatorSet.TupleMax(hv_AbsoluteHisto, out hv_Max);
hv_maxGrayValue = hv_AbsoluteHisto.TupleFind(hv_Max);
ho_ImageScaled.Dispose();
HOperatorSet.ScaleImage(ho_Image, out ho_ImageScaled, 1, 140 - hv_maxGrayValue[0]);
ho_ImageEmphasize.Dispose();
HOperatorSet.Emphasize(ho_ImageScaled, out ho_ImageEmphasize, 39, 39, 2);
ho_Regions.Dispose();
HOperatorSet.Threshold(ho_ImageEmphasize, out ho_Regions, 50, 232);
ho_RegionFillUp.Dispose();
HOperatorSet.FillUp(ho_Regions, out ho_RegionFillUp);
ho_RegionErosion.Dispose();
HOperatorSet.ErosionCircle(ho_RegionFillUp, out ho_RegionErosion, 1);
ho_ImageReduced1.Dispose();
HOperatorSet.ReduceDomain(ho_ImageEmphasize, ho_RegionErosion, out ho_ImageReduced1);
ho_Region2.Dispose();
HOperatorSet.VarThreshold(ho_ImageReduced1, out ho_Region2, hv_Width, hv_Height,
2, 100, "dark");
ho_ConnectedRegions.Dispose();
HOperatorSet.Connection(ho_Region2, out ho_ConnectedRegions);
hv_radius_MM = pixel_MM;
hv_radius_Pixel = 20 / hv_radius_MM;
hv_area_Pixel = 0.005 / (pixel_MM * pixel_MM);
ho_SelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_ConnectedRegions, out ho_SelectedRegions, "area",
"and", hv_area_Pixel, 99999);
HOperatorSet.CountObj(ho_SelectedRegions, out hv_Number);
hv_NumDot = hv_Number.Clone();
if (hv_NumDot.I > 5)
{
blackParaReturn.blackCounts = 5;
}
else
{
blackParaReturn.blackCounts = hv_NumDot.I;
}
if ((int)(new HTuple(hv_NumDot.TupleGreater(0))) != 0)
{
ho_RegionDilation.Dispose();
HOperatorSet.DilationCircle(ho_SelectedRegions, out ho_RegionDilation, 5);
HOperatorSet.SmallestCircle(ho_RegionDilation, out hv_Row, out hv_Column, out hv_Radius);
ho_Circle.Dispose();
HOperatorSet.GenCircle(out ho_Circle, hv_Row, hv_Column, hv_Radius);
ho_ImageResult.Dispose();
HOperatorSet.PaintRegion(ho_Circle, ho_Image, out ho_ImageResult, 0, "margin");
string fileName = ImagePath + "\\" + barcode + ".bmp";
HOperatorSet.WriteImage(ho_ImageResult, "bmp", 0, fileName);
string fileName1 = ImagePath + "\\" + "Original" + barcode + ".bmp";
HOperatorSet.WriteImage(ho_Image, "bmp", 0, fileName1);
if (hv_NumDot.I > 5)
{
for (int j = 0; j < 5; j++)
{
ho_SelectObjregion.Dispose();
HOperatorSet.SelectObj(ho_SelectedRegions, out ho_SelectObjregion, j + 1);
HOperatorSet.AreaCenter(ho_SelectObjregion, out hv_RowY, out hv_ColumnX, out hv_Area1);
blackParaReturn.blackX[j] = (float)Math.Round(hv_ColumnX.D * pixel_MM, 3);
blackParaReturn.blackY[j] = (float)Math.Round(hv_RowY.D * pixel_MM, 3);
blackParaReturn.blackArea[j] = (float)Math.Round(hv_Area1.D * pixel_MM * pixel_MM, 3);
}
}
else
{
for (int j = 0; j < hv_NumDot.I; j++)
{
ho_SelectObjregion.Dispose();
HOperatorSet.SelectObj(ho_SelectedRegions, out ho_SelectObjregion, j + 1);
HOperatorSet.AreaCenter(ho_SelectObjregion, out hv_RowY, out hv_ColumnX, out hv_Area1);
blackParaReturn.blackX[j] = (float)Math.Round(hv_ColumnX.D * pixel_MM, 3);
blackParaReturn.blackY[j] = (float)Math.Round(hv_RowY.D * pixel_MM, 3);
blackParaReturn.blackArea[j] = (float)Math.Round(hv_Area1.D * pixel_MM * pixel_MM, 3);
}
}
}
ho_SelectObjregion.Dispose();
ho_Regions.Dispose();
ho_RegionFillUp.Dispose();
ho_RegionErosion.Dispose();
ho_ImageReduced1.Dispose();
ho_ImageEmphasize.Dispose();
ho_Region2.Dispose();
ho_ConnectedRegions.Dispose();
ho_SelectedRegions.Dispose();
ho_RegionDilation.Dispose();
ho_Circle.Dispose();
ho_ImageResult.Dispose();
ho_Domain11.Dispose();
ho_ImageScaled.Dispose();
return(blackParaReturn);
}
public RectData FindRect(HObject ho_Image, int threshold)
{
RectData myResult = new RectData();
myResult.Found = false;
try
{
HTuple hv_Width, hv_Height, hv_Y, hv_X, hv_AngRad, hv_HalfWidth, hv_HalfLength, hv_PtOrder, hv_Mean, hv_Deviation;
HObject hv_border, hv_selectedShape, hv_connection, ho_Rectangle, ho_ImageReduced;
hv_Width = new HTuple();
hv_Height = new HTuple();
hv_Y = new HTuple();
hv_X = new HTuple();
hv_AngRad = new HTuple();
hv_HalfWidth = new HTuple();
hv_HalfLength = new HTuple();
hv_PtOrder = new HTuple();
HTuple hv_Number = new HTuple();
hv_Mean = new HTuple(); hv_Deviation = new HTuple();
HOperatorSet.GenEmptyObj(out hv_border);
HOperatorSet.GenEmptyObj(out hv_selectedShape);
HOperatorSet.GenEmptyObj(out hv_connection);
HOperatorSet.GenEmptyObj(out ho_Rectangle);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
HOperatorSet.SetWindowAttr("background_color", "black");
HTuple hv_Row, hv_Column, hv_Phi;
HTuple hv_Length1, hv_Length2;
//Create template
hv_Row = 972;
hv_Column = 1290;
hv_Phi = 0;
hv_Length1 = 1270;
hv_Length2 = 500;
string DataFileName = @"D:\Images\" + DateTime.Now.ToString("yyyy-MM-dd") + "\\";
//if (!Directory.Exists(DataFileName))
// Directory.CreateDirectory(DataFileName);
//string temp1 = DataFileName + "Inspected" + DateTime.Now.ToString("HH_mm_ss");
//HOperatorSet.WriteImage(ho_Image, "bmp", 0, temp1);
ho_Rectangle.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle, hv_Row, hv_Column, hv_Phi, hv_Length1, hv_Length2);
//ho_ImageReduced.Dispose();
//HOperatorSet.ReduceDomain(ho_Image, ho_Rectangle, out ho_ImageReduced);
//string temp1 = DataFileName + "ReducedInspected" + DateTime.Now.ToString("HH_mm_ss");
//HOperatorSet.WriteImage(ho_ImageReduced, "bmp", 0, temp1);
HOperatorSet.ThresholdSubPix(ho_Image, out hv_border, threshold);
//HOperatorSet.EdgesSubPix(ho_Image, out hv_border, "canny", 0.9, 20, 40);
HOperatorSet.SelectShapeXld(hv_border, out hv_selectedShape, "area", "and", 250000, 600000); //Alvin 28July16 2500
HOperatorSet.CountObj(hv_selectedShape, out hv_Number);
HOperatorSet.FitRectangle2ContourXld(hv_selectedShape, "tukey", -1, 0, 0, 3, 2, out hv_Y, out hv_X, out hv_AngRad,
out hv_HalfWidth, out hv_HalfLength, out hv_PtOrder);
if (hv_X.Length != 0)
{
for (int i = 0; i < hv_X.Length; i++)
{
ho_Rectangle.Dispose();
HOperatorSet.GenRectangle2(out ho_Rectangle, hv_Y[i].D, hv_X[i].D, hv_AngRad[i].D, hv_HalfWidth[i].D, hv_HalfLength[i].D);
//HOperatorSet.GenRectangle2(out ho_Rectangle, hv_Y[i], hv_X[i], hv_AngRad[i], hv_HalfWidth[i], hv_HalfLength[i]);
//string temp1 = DataFileName + "InspectedRectangle" + DateTime.Now.ToString("HH_mm_ss");
//HOperatorSet.WriteImage(ho_Rectangle, "bmp", 0, temp1);
HOperatorSet.Intensity(ho_Rectangle, ho_Image, out hv_Mean, out hv_Deviation);
myResult.Means = hv_Mean.D;
if (myResult.Means < 220)
{
myResult.Found = true;
myResult.X = hv_X[i].D;
myResult.Y = hv_Y[i].D;
myResult.Angle = hv_AngRad[i].D;
myResult.Width = hv_HalfWidth[i].D * 2;
myResult.Height = hv_HalfLength[i].D * 2;
myResult.isCircle = false;
//myResult.rect_border = ho_Rectangle;//hv_selectedShape;
if ((myResult.X < 200) || (myResult.Height < 170) || (myResult.Y < 300))
{
myResult.Found = false;
}
else
{
break;
}
}
}
}
}
catch (Exception ex)
{ }
return(myResult);
//}
//catch (HalconException HDevExpDefaultException)
//{
// return myResult;
//}
}
public WhiteParaList WhiteDotInspect1(string barcode, string modle, HObject ho_Image, double pixel_MM, string ImagePath)
{
WhiteParaList WhiteParaReturn = new WhiteParaList();
// Stack for temporary objects
HObject[] OTemp = new HObject[20];
long SP_O = 0;
// Local iconic variables
// Initialize local and output iconic variables
HObject ho_EmptyRegion, ho_Region, ho_SelectObjregion;
HObject ho_RegionFillUp, ho_RegionErosion, ho_RegionDifference;
HObject ho_ImageReduced, ho_Region1, ho_ConnectedRegions;
HObject ho_SelectedRegions, ho_ImageReduced1, ho_ImageEmphasize;
HObject ho_Region2, ho_ConnectedRegions1, ho_SelectedRegions1;
HObject ho_RegionDilation = null, ho_Circle = null, ho_ImageResult = null;
HObject ho_Domain11, ho_ImageScaled;
// Local control variables
HTuple hv_Width, hv_Height, hv_Mean, hv_Deviation, hv_RowY = null, hv_ColumnX = null, hv_Area1 = null;;
HTuple hv_meanResult, hv_Number, hv_Number1, hv_Number2, hv_NumDot = null;
HTuple hv_Row = new HTuple(), hv_Column = new HTuple(), hv_Radius = new HTuple();
HTuple hv_Index = new HTuple();
HTuple hv_AbsoluteHisto, hv_RelativeHisto;
HTuple hv_Max, hv_maxGrayValue;
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_SelectObjregion);
HOperatorSet.GenEmptyObj(out ho_EmptyRegion);
HOperatorSet.GenEmptyObj(out ho_Region);
HOperatorSet.GenEmptyObj(out ho_RegionFillUp);
HOperatorSet.GenEmptyObj(out ho_RegionErosion);
HOperatorSet.GenEmptyObj(out ho_RegionDifference);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Region1);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions);
HOperatorSet.GenEmptyObj(out ho_ImageReduced1);
HOperatorSet.GenEmptyObj(out ho_ImageEmphasize);
HOperatorSet.GenEmptyObj(out ho_Region2);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions1);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions1);
HOperatorSet.GenEmptyObj(out ho_RegionDilation);
HOperatorSet.GenEmptyObj(out ho_Circle);
HOperatorSet.GenEmptyObj(out ho_ImageResult);
HOperatorSet.GenEmptyObj(out ho_Domain11);
HOperatorSet.GenEmptyObj(out ho_ImageScaled);
HTuple hv_radius_MM = null, hv_area_Pixel = null;
hv_radius_MM = pixel_MM;
hv_area_Pixel = 0.005 / (pixel_MM * pixel_MM);
HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
ho_EmptyRegion.Dispose();
HOperatorSet.GenEmptyRegion(out ho_EmptyRegion);
ho_Domain11.Dispose();
HOperatorSet.GetDomain(ho_Image, out ho_Domain11);
HOperatorSet.GrayHisto(ho_Domain11, ho_Image, out hv_AbsoluteHisto, out hv_RelativeHisto);
HOperatorSet.TupleMax(hv_AbsoluteHisto, out hv_Max);
hv_maxGrayValue = hv_AbsoluteHisto.TupleFind(hv_Max);
ho_ImageScaled.Dispose();
HOperatorSet.ScaleImage(ho_Image, out ho_ImageScaled, 1, 140 - hv_maxGrayValue[0]);
ho_Region.Dispose();
HOperatorSet.Threshold(ho_ImageScaled, out ho_Region, 80, 255);
ho_RegionFillUp.Dispose();
HOperatorSet.FillUp(ho_Region, out ho_RegionFillUp);
ho_RegionErosion.Dispose();
HOperatorSet.ErosionCircle(ho_RegionFillUp, out ho_RegionErosion, 30);
ho_RegionDifference.Dispose();
HOperatorSet.Difference(ho_RegionFillUp, ho_RegionErosion, out ho_RegionDifference
);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_RegionDifference, out ho_ImageReduced);
HOperatorSet.Intensity(ho_RegionDifference, ho_ImageReduced, out hv_Mean, out hv_Deviation);
hv_meanResult = hv_Mean * 1.6;
if ((int)(new HTuple(hv_meanResult.TupleGreater(240))) != 0)
{
hv_meanResult = 240;
}
ho_Region1.Dispose();
HOperatorSet.Threshold(ho_ImageReduced, out ho_Region1, hv_meanResult, 255);
ho_ConnectedRegions.Dispose();
HOperatorSet.Connection(ho_Region1, out ho_ConnectedRegions);
ho_SelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_ConnectedRegions, out ho_SelectedRegions, "area",
"and", hv_area_Pixel, 99999);
HOperatorSet.CountObj(ho_SelectedRegions, out hv_Number);
if ((int)(new HTuple(hv_Number.TupleGreater(0))) != 0)
{
OTemp[SP_O] = ho_EmptyRegion.CopyObj(1, -1);
SP_O++;
ho_EmptyRegion.Dispose();
HOperatorSet.ConcatObj(OTemp[SP_O - 1], ho_SelectedRegions, out ho_EmptyRegion
);
OTemp[SP_O - 1].Dispose();
SP_O = 0;
}
ho_ImageReduced1.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_RegionErosion, out ho_ImageReduced1);
ho_ImageEmphasize.Dispose();
HOperatorSet.Emphasize(ho_ImageReduced1, out ho_ImageEmphasize, 11, 11, 1);
ho_Region2.Dispose();
HOperatorSet.VarThreshold(ho_ImageEmphasize, out ho_Region2, hv_Width, hv_Height,
0.2, 120, "light");
ho_ConnectedRegions1.Dispose();
HOperatorSet.Connection(ho_Region2, out ho_ConnectedRegions1);
ho_SelectedRegions1.Dispose();
HOperatorSet.SelectShape(ho_ConnectedRegions1, out ho_SelectedRegions1, "area",
"and", hv_area_Pixel, 99999);
HOperatorSet.CountObj(ho_SelectedRegions1, out hv_Number1);
if ((int)(new HTuple(hv_Number1.TupleGreater(0))) != 0)
{
OTemp[SP_O] = ho_EmptyRegion.CopyObj(1, -1);
SP_O++;
ho_EmptyRegion.Dispose();
HOperatorSet.ConcatObj(OTemp[SP_O - 1], ho_SelectedRegions1, out ho_EmptyRegion
);
OTemp[SP_O - 1].Dispose();
SP_O = 0;
}
HOperatorSet.CountObj(ho_EmptyRegion, out hv_Number2);
hv_NumDot = hv_Number2 - 1;
if (hv_NumDot.I > 5)
{
WhiteParaReturn.whiteCounts = 5;
}
else
{
WhiteParaReturn.whiteCounts = hv_NumDot.I;
}
if ((int)(new HTuple(hv_Number2.TupleGreater(1))) != 0)
{
ho_RegionDilation.Dispose();
HOperatorSet.DilationCircle(ho_EmptyRegion, out ho_RegionDilation, 5);
HOperatorSet.SmallestCircle(ho_RegionDilation, out hv_Row, out hv_Column, out hv_Radius);
ho_Circle.Dispose();
HOperatorSet.GenCircle(out ho_Circle, hv_Row, hv_Column, hv_Radius);
ho_ImageResult.Dispose();
HOperatorSet.PaintRegion(ho_Circle, ho_Image, out ho_ImageResult, 0, "margin");
string fileName = ImagePath + "\\" + barcode + ".bmp";
HOperatorSet.WriteImage(ho_ImageResult, "bmp", 0, fileName);
string fileName1 = ImagePath + "\\" + "Original" + barcode + ".bmp";
HOperatorSet.WriteImage(ho_Image, "bmp", 0, fileName1);
if (hv_NumDot.I > 5)
{
for (int j = 0; j < 5; j++)
{
ho_SelectObjregion.Dispose();
HOperatorSet.SelectObj(ho_EmptyRegion, out ho_SelectObjregion, j + 2);
HOperatorSet.AreaCenter(ho_SelectObjregion, out hv_RowY, out hv_ColumnX, out hv_Area1);
WhiteParaReturn.whiteX[j] = (float)Math.Round(hv_ColumnX.D * pixel_MM, 3);
WhiteParaReturn.whiteY[j] = (float)Math.Round(hv_RowY.D * pixel_MM, 3);
WhiteParaReturn.whiteArea[j] = (float)Math.Round(hv_Area1.D * pixel_MM * pixel_MM, 3);
}
}
else
{
for (int j = 0; j < hv_NumDot.I; j++)
{
ho_SelectObjregion.Dispose();
HOperatorSet.SelectObj(ho_EmptyRegion, out ho_SelectObjregion, j + 2);
HOperatorSet.AreaCenter(ho_SelectObjregion, out hv_RowY, out hv_ColumnX, out hv_Area1);
WhiteParaReturn.whiteX[j] = (float)Math.Round(hv_ColumnX.D * pixel_MM, 3);
WhiteParaReturn.whiteY[j] = (float)Math.Round(hv_RowY.D * pixel_MM, 3);
WhiteParaReturn.whiteArea[j] = (float)Math.Round(hv_Area1.D * pixel_MM * pixel_MM, 3);
}
}
}
ho_SelectObjregion.Dispose();
ho_EmptyRegion.Dispose();
ho_Region.Dispose();
ho_RegionFillUp.Dispose();
ho_RegionErosion.Dispose();
ho_RegionDifference.Dispose();
ho_ImageReduced.Dispose();
ho_Region1.Dispose();
ho_ConnectedRegions.Dispose();
ho_SelectedRegions.Dispose();
ho_ImageReduced1.Dispose();
ho_ImageEmphasize.Dispose();
ho_Region2.Dispose();
ho_ConnectedRegions1.Dispose();
ho_SelectedRegions1.Dispose();
ho_RegionDilation.Dispose();
ho_Circle.Dispose();
ho_ImageResult.Dispose();
ho_Domain11.Dispose();
ho_ImageScaled.Dispose();
return(WhiteParaReturn);
}
/// <summary>
/// 白点检测20171010
/// </summary>
/// <param name="barcode"></param>
/// <param name="ho_Image"></param>
/// <param name="pixel_MM"></param>
/// <returns></returns>
public WhiteParaList WhiteDotInspect(string barcode, string modle, HObject ho_Image, double pixel_MM, string ImagePath)
{
WhiteParaList WhiteParaReturn = new WhiteParaList();
// Local iconic variables
HObject ho_Domain, ho_ImageScaled = null, ho_SelectObjregion;
HObject ho_ImageInvert, ho_Region2, ho_ConnectedRegions;
HObject ho_SelectedRegions, ho_RegionDilation = null, ho_Circle = null;
HObject ho_ImageResult = null;
// Local control variables
HTuple hv_Name = null, hv_Width = null, hv_Height = null, hv_RowY = null, hv_ColumnX = null, hv_Area1 = null;
HTuple hv_Index1 = null, hv_Mean1 = new HTuple(), hv_Deviation1 = new HTuple();
HTuple hv_radius_MM = null, hv_radius_Pixel = null, hv_area_Pixel = null;
HTuple hv_Number = null, hv_NumDot = null, hv_Row = new HTuple();
HTuple hv_Column = new HTuple(), hv_Radius = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_SelectObjregion);
HOperatorSet.GenEmptyObj(out ho_Domain);
HOperatorSet.GenEmptyObj(out ho_ImageScaled);
HOperatorSet.GenEmptyObj(out ho_ImageInvert);
HOperatorSet.GenEmptyObj(out ho_Region2);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions);
HOperatorSet.GenEmptyObj(out ho_RegionDilation);
HOperatorSet.GenEmptyObj(out ho_Circle);
HOperatorSet.GenEmptyObj(out ho_ImageResult);
hv_Name = barcode;
hv_NumDot = 0;
HOperatorSet.GetImageSize(ho_Image, out hv_Width, out hv_Height);
ho_Domain.Dispose();
HOperatorSet.GetDomain(ho_Image, out ho_Domain);
for (hv_Index1 = 0; (int)hv_Index1 <= 255; hv_Index1 = (int)hv_Index1 + 1)
{
ho_ImageScaled.Dispose();
HOperatorSet.ScaleImage(ho_Image, out ho_ImageScaled, 1.6, -hv_Index1);
HOperatorSet.Intensity(ho_Domain, ho_ImageScaled, out hv_Mean1, out hv_Deviation1);
if ((int)((new HTuple(hv_Mean1.TupleGreater(20))).TupleAnd(new HTuple(hv_Mean1.TupleLess(
30)))) != 0)
{
break;
}
}
ho_ImageInvert.Dispose();
HOperatorSet.InvertImage(ho_ImageScaled, out ho_ImageInvert);
ho_Region2.Dispose();
HOperatorSet.VarThreshold(ho_ImageInvert, out ho_Region2, hv_Width, hv_Height,
2, 100, "dark");
ho_ConnectedRegions.Dispose();
HOperatorSet.Connection(ho_Region2, out ho_ConnectedRegions);
hv_radius_MM = pixel_MM * 1000;
hv_radius_Pixel = 20 / hv_radius_MM;
hv_area_Pixel = (3.14 * hv_radius_Pixel) * hv_radius_Pixel;
ho_SelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_ConnectedRegions, out ho_SelectedRegions, "area",
"and", hv_area_Pixel, 99999);
HOperatorSet.CountObj(ho_SelectedRegions, out hv_Number);
hv_NumDot = hv_Number.Clone();
if (hv_NumDot.I > 5)
{
WhiteParaReturn.whiteCounts = 5;
}
else
{
WhiteParaReturn.whiteCounts = hv_NumDot.I;
}
if ((int)(new HTuple(hv_NumDot.TupleGreater(0))) != 0)
{
ho_RegionDilation.Dispose();
HOperatorSet.DilationCircle(ho_SelectedRegions, out ho_RegionDilation, 5);
HOperatorSet.SmallestCircle(ho_RegionDilation, out hv_Row, out hv_Column, out hv_Radius);
ho_Circle.Dispose();
HOperatorSet.GenCircle(out ho_Circle, hv_Row, hv_Column, hv_Radius);
ho_ImageResult.Dispose();
HOperatorSet.PaintRegion(ho_Circle, ho_Image, out ho_ImageResult, 0, "margin");
string fileName = ImagePath + "\\" + barcode + ".bmp";
HOperatorSet.WriteImage(ho_ImageResult, "bmp", 0, fileName);
string fileName1 = ImagePath + "\\" + "Original" + barcode + ".bmp";
HOperatorSet.WriteImage(ho_Image, "bmp", 0, fileName1);
if (hv_NumDot.I > 5)
{
for (int j = 0; j < 5; j++)
{
ho_SelectObjregion.Dispose();
HOperatorSet.SelectObj(ho_SelectedRegions, out ho_SelectObjregion, j + 1);
HOperatorSet.AreaCenter(ho_SelectObjregion, out hv_RowY, out hv_ColumnX, out hv_Area1);
WhiteParaReturn.whiteX[j] = (float)Math.Round(hv_ColumnX.D * pixel_MM, 3);
WhiteParaReturn.whiteY[j] = (float)Math.Round(hv_RowY.D * pixel_MM, 3);
WhiteParaReturn.whiteArea[j] = (float)Math.Round(hv_Area1.D * pixel_MM * pixel_MM, 3);
}
}
else
{
for (int j = 0; j < hv_NumDot.I; j++)
{
ho_SelectObjregion.Dispose();
HOperatorSet.SelectObj(ho_SelectedRegions, out ho_SelectObjregion, j + 1);
HOperatorSet.AreaCenter(ho_SelectObjregion, out hv_RowY, out hv_ColumnX, out hv_Area1);
WhiteParaReturn.whiteX[j] = (float)Math.Round(hv_ColumnX.D * pixel_MM, 3);
WhiteParaReturn.whiteY[j] = (float)Math.Round(hv_RowY.D * pixel_MM, 3);
WhiteParaReturn.whiteArea[j] = (float)Math.Round(hv_Area1.D * pixel_MM * pixel_MM, 3);
}
}
}
//else
//{
// string path = "G:\\BlackAndWhiteDotImage";
// if (!Directory.Exists(path))
// {
// Directory.CreateDirectory(path);
// }
// string s_FileName = path + "\\" + DateTime.Now.ToString("yyyyMMdd");
// if (!Directory.Exists(s_FileName))
// {
// Directory.CreateDirectory(s_FileName);
// }
// string FileName = s_FileName + "\\" + "WhiteDotImage";
// if (!Directory.Exists(FileName))
// {
// Directory.CreateDirectory(FileName);
// }
// string fileName = FileName + "\\" + barcode + ".bmp";
// HOperatorSet.WriteImage(ho_Image, "bmp", 0, fileName);
//}
ho_SelectObjregion.Dispose();
ho_Domain.Dispose();
ho_ImageScaled.Dispose();
ho_ImageInvert.Dispose();
ho_Region2.Dispose();
ho_ConnectedRegions.Dispose();
ho_SelectedRegions.Dispose();
ho_RegionDilation.Dispose();
ho_Circle.Dispose();
ho_ImageResult.Dispose();
return(WhiteParaReturn);
}
// Procedures
public void mia_cwdl(HObject ho_Image, HTuple hv_WindowHandle, HTuple hv_signLocRightX,
HTuple hv_signLocLeftX, HTuple hv_signLocRightY, HTuple hv_signLocLeftY, out HTuple hv_DecodedDataStrings,
out HTuple hv_sign)
{
// Local iconic variables
HObject ho_SymbolRegions, ho_ImageAffineTrans;
// Local control variables
HTuple hv_BarCodeHandle = new HTuple(), hv_someitem = new HTuple();
HTuple hv_SignWidth = new HTuple(), hv_HeadSignScale = new HTuple();
HTuple hv_HeadSignRow = new HTuple(), hv_HeadSignCol = new HTuple();
HTuple hv_Phi = new HTuple(), hv_HomMat2D = new HTuple();
HTuple hv_HomMat2DRotate = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_SymbolRegions);
HOperatorSet.GenEmptyObj(out ho_ImageAffineTrans);
hv_DecodedDataStrings = new HTuple();
hv_sign = new HTuple();
//***
//** INIT
//* INIT BARCODE
hv_BarCodeHandle.Dispose();
HOperatorSet.CreateBarCodeModel(new HTuple(), new HTuple(), out hv_BarCodeHandle);
HOperatorSet.SetBarCodeParam(hv_BarCodeHandle, "quiet_zone", "true");
//** RECOGNITION
//* BARCODE
ho_SymbolRegions.Dispose(); hv_DecodedDataStrings.Dispose(); hv_someitem.Dispose();
image_get_bar(ho_Image, out ho_SymbolRegions, hv_BarCodeHandle, hv_WindowHandle,
out hv_DecodedDataStrings, out hv_someitem);
//* Sign
//* 制单人: 1120 186 signLocLeftX signLocLeftY
//* 科室收货人 1110 2400 signLocRightX signLocRightY
//signLocLeftX := 1120
//signLocLeftY := 186
//signLocRightX := 1110
//signLocRightY := 2400
hv_SignWidth.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_SignWidth = hv_signLocRightY - hv_signLocLeftY;
}
hv_HeadSignScale.Dispose();
hv_HeadSignScale = 1;
hv_HeadSignRow.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_HeadSignRow = (hv_signLocLeftX + hv_signLocRightX) / 2;
}
hv_HeadSignCol.Dispose();
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_HeadSignCol = (hv_signLocLeftY + hv_signLocRightY) / 2;
}
using (HDevDisposeHelper dh = new HDevDisposeHelper())
{
hv_Phi.Dispose();
HOperatorSet.TupleAtan2(hv_signLocRightX - hv_signLocLeftX, hv_signLocRightY - hv_signLocLeftY,
out hv_Phi);
}
hv_HomMat2D.Dispose();
HOperatorSet.HomMat2dIdentity(out hv_HomMat2D);
hv_HomMat2DRotate.Dispose();
HOperatorSet.HomMat2dRotate(hv_HomMat2D, hv_Phi, hv_HeadSignRow, hv_HeadSignCol,
out hv_HomMat2DRotate);
ho_ImageAffineTrans.Dispose();
HOperatorSet.AffineTransImage(ho_Image, out ho_ImageAffineTrans, hv_HomMat2DRotate,
"constant", "false");
hv_sign.Dispose();
mia_sign(ho_ImageAffineTrans, hv_HeadSignRow, hv_HeadSignCol, hv_WindowHandle,
hv_SignWidth, out hv_sign);
ho_SymbolRegions.Dispose();
ho_ImageAffineTrans.Dispose();
hv_BarCodeHandle.Dispose();
hv_someitem.Dispose();
hv_SignWidth.Dispose();
hv_HeadSignScale.Dispose();
hv_HeadSignRow.Dispose();
hv_HeadSignCol.Dispose();
hv_Phi.Dispose();
hv_HomMat2D.Dispose();
hv_HomMat2DRotate.Dispose();
return;
}
/// <summary>
/// Recalculates the shape of the ROI. Translation is
/// performed at the active handle of the ROI object
/// for the image coordinate (x,y)
/// </summary>
public override void moveByHandle(double newX, double newY)
{
HTuple distance;
double dirX, dirY, prior, next, valMax, valMin;
switch (activeHandleIdx)
{
case 0: // midpoint
dirY = midR - newY;
dirX = midC - newX;
midR = newY;
midC = newX;
sizeR -= dirY;
sizeC -= dirX;
determineArcHandles();
break;
case 1: // handle at circle border
sizeR = newY;
sizeC = newX;
HOperatorSet.DistancePp(new HTuple(sizeR), new HTuple(sizeC),
new HTuple(midR), new HTuple(midC), out distance);
radius = distance[0].D;
determineArcHandles();
break;
case 2: // start handle for arc
dirY = newY - midR;
dirX = newX - midC;
startPhi = Math.Atan2(-dirY, dirX);
if (startPhi < 0)
{
startPhi = PI + (startPhi + PI);
}
setStartHandle();
prior = extentPhi;
extentPhi = HMisc.AngleLl(midR, midC, startR, startC, midR, midC, extentR, extentC);
if (extentPhi < 0 && prior > PI * 0.8)
{
extentPhi = (PI + extentPhi) + PI;
}
else if (extentPhi > 0 && prior < -PI * 0.7)
{
extentPhi = -PI - (PI - extentPhi);
}
break;
case 3: // end handle for arc
dirY = newY - midR;
dirX = newX - midC;
prior = extentPhi;
next = Math.Atan2(-dirY, dirX);
if (next < 0)
{
next = PI + (next + PI);
}
if (circDir == "positive" && startPhi >= next)
{
extentPhi = (next + TwoPI) - startPhi;
}
else if (circDir == "positive" && next > startPhi)
{
extentPhi = next - startPhi;
}
else if (circDir == "negative" && startPhi >= next)
{
extentPhi = -1.0 * (startPhi - next);
}
else if (circDir == "negative" && next > startPhi)
{
extentPhi = -1.0 * (startPhi + TwoPI - next);
}
valMax = Math.Max(Math.Abs(prior), Math.Abs(extentPhi));
valMin = Math.Min(Math.Abs(prior), Math.Abs(extentPhi));
if ((valMax - valMin) >= PI)
{
extentPhi = (circDir == "positive") ? -1.0 * valMin : valMin;
}
setExtentHandle();
break;
}
circDir = (extentPhi < 0) ? "negative" : "positive";
updateArrowHandle();
}
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 control variables
HTuple hv_Red, hv_Green, hv_Blue, hv_Row1Part;
HTuple hv_Column1Part, hv_Row2Part, hv_Column2Part, hv_RowWin;
HTuple hv_ColumnWin, hv_WidthWin, hv_HeightWin, hv_MaxAscent;
HTuple hv_MaxDescent, hv_MaxWidth, hv_MaxHeight, hv_R1 = new HTuple();
HTuple hv_C1 = new HTuple(), hv_FactorRow = new HTuple(), hv_FactorColumn = new HTuple();
HTuple hv_Width = new HTuple(), hv_Index = new HTuple(), hv_Ascent = new HTuple();
HTuple hv_Descent = new HTuple(), hv_W = new HTuple(), hv_H = new HTuple();
HTuple hv_FrameHeight = new HTuple(), hv_FrameWidth = new HTuple();
HTuple hv_R2 = new HTuple(), hv_C2 = new HTuple(), hv_DrawMode = new HTuple();
HTuple hv_Exception = new HTuple(), hv_CurrentColor = new HTuple();
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();
//prepare window
HOperatorSet.GetRgb(hv_WindowHandle, out hv_Red, out hv_Green, out hv_Blue);
HOperatorSet.GetPart(hv_WindowHandle, out hv_Row1Part, out hv_Column1Part, out hv_Row2Part,
out hv_Column2Part);
HOperatorSet.GetWindowExtents(hv_WindowHandle, out hv_RowWin, out hv_ColumnWin,
out hv_WidthWin, out hv_HeightWin);
HOperatorSet.SetPart(hv_WindowHandle, 0, 0, hv_HeightWin - 1, hv_WidthWin - 1);
//
//default settings
if ((int)(new HTuple(hv_Row_COPY_INP_TMP.TupleEqual(-1))) != 0)
{
hv_Row_COPY_INP_TMP = 12;
}
if ((int)(new HTuple(hv_Column_COPY_INP_TMP.TupleEqual(-1))) != 0)
{
hv_Column_COPY_INP_TMP = 12;
}
if ((int)(new HTuple(hv_Color_COPY_INP_TMP.TupleEqual(new HTuple()))) != 0)
{
hv_Color_COPY_INP_TMP = "";
}
//
hv_String_COPY_INP_TMP = ((("" + hv_String_COPY_INP_TMP) + "")).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_Row_COPY_INP_TMP.Clone();
hv_C1 = hv_Column_COPY_INP_TMP.Clone();
}
else
{
//transform image to window coordinates
hv_FactorRow = (1.0 * hv_HeightWin) / ((hv_Row2Part - hv_Row1Part) + 1);
hv_FactorColumn = (1.0 * hv_WidthWin) / ((hv_Column2Part - hv_Column1Part) + 1);
hv_R1 = ((hv_Row_COPY_INP_TMP - hv_Row1Part) + 0.5) * hv_FactorRow;
hv_C1 = ((hv_Column_COPY_INP_TMP - hv_Column1Part) + 0.5) * hv_FactorColumn;
}
//
//display text box depending on text size
if ((int)(new HTuple(hv_Box.TupleEqual("true"))) != 0)
{
//calculate box extents
hv_String_COPY_INP_TMP = (" " + hv_String_COPY_INP_TMP) + " ";
hv_Width = new HTuple();
for (hv_Index = 0; (int)hv_Index <= (int)((new HTuple(hv_String_COPY_INP_TMP.TupleLength()
)) - 1); hv_Index = (int)hv_Index + 1)
{
HOperatorSet.GetStringExtents(hv_WindowHandle, hv_String_COPY_INP_TMP.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_String_COPY_INP_TMP.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");
HOperatorSet.SetColor(hv_WindowHandle, "light gray");
HOperatorSet.DispRectangle1(hv_WindowHandle, hv_R1 + 3, hv_C1 + 3, hv_R2 + 3, hv_C2 + 3);
HOperatorSet.SetColor(hv_WindowHandle, "white");
HOperatorSet.DispRectangle1(hv_WindowHandle, hv_R1, hv_C1, hv_R2, hv_C2);
HOperatorSet.SetDraw(hv_WindowHandle, hv_DrawMode);
}
else if ((int)(new HTuple(hv_Box.TupleNotEqual("false"))) != 0)
{
hv_Exception = "Wrong value of control parameter Box";
throw new HalconException(hv_Exception);
}
//Write text.
for (hv_Index = 0; (int)hv_Index <= (int)((new HTuple(hv_String_COPY_INP_TMP.TupleLength()
)) - 1); hv_Index = (int)hv_Index + 1)
{
hv_CurrentColor = hv_Color_COPY_INP_TMP.TupleSelect(hv_Index % (new HTuple(hv_Color_COPY_INP_TMP.TupleLength()
)));
if ((int)((new HTuple(hv_CurrentColor.TupleNotEqual(""))).TupleAnd(new HTuple(hv_CurrentColor.TupleNotEqual(
"auto")))) != 0)
{
HOperatorSet.SetColor(hv_WindowHandle, hv_CurrentColor);
}
else
{
HOperatorSet.SetRgb(hv_WindowHandle, hv_Red, hv_Green, hv_Blue);
}
hv_Row_COPY_INP_TMP = hv_R1 + (hv_MaxHeight * hv_Index);
HOperatorSet.SetTposition(hv_WindowHandle, hv_Row_COPY_INP_TMP, hv_C1);
HOperatorSet.WriteString(hv_WindowHandle, hv_String_COPY_INP_TMP.TupleSelect(
hv_Index));
}
//reset changed window settings
HOperatorSet.SetRgb(hv_WindowHandle, hv_Red, hv_Green, hv_Blue);
HOperatorSet.SetPart(hv_WindowHandle, hv_Row1Part, hv_Column1Part, hv_Row2Part,
hv_Column2Part);
return;
}
private void TIS_ImageAvailable(object sender, ICImagingControl.ImageAvailableEventArgs e)
{
try
{
//Util.Notify(string.Format("相机{0}收到图像", cameraIndex));
if (ignoreImage)
{
return;
}
//HTuple startTime;
HOperatorSet.CountSeconds(out startTime);
// Acquire the image from the camera. Only show the latest image. The camera may acquire images faster than the images can be displayed.
ImageBuffer ImgBuffer = e.ImageBuffer;
// Reduce the number of displayed images to a reasonable amount if the camera is acquiring images very fast.
//if (!stopWatch.IsRunning || stopWatch.ElapsedMilliseconds > 33)
{
//stopWatch.Restart();
//if (hPylonImage != null && hPylonImage.IsInitialized())
//{
// hPylonImage.Dispose();
//}
hPylonImage = new HImage();
if (ImgBuffer.GetIntPtr() == IntPtr.Zero)
{
Util.Notify(string.Format("相机{0}数据损坏,采集失败", cameraIndex));
return;
}
if (camera.MemoryCurrentGrabberColorformat == ICImagingControlColorformats.ICY8)
{
hPylonImage.GenImage1("byte", ImgBuffer.Size.Width, ImgBuffer.Size.Height, ImgBuffer.GetImageDataPtr());
HImage imgTmp = hPylonImage.MirrorImage("row");
hPylonImage.Dispose();
hPylonImage = imgTmp;
}
else if (camera.MemoryCurrentGrabberColorformat == ICImagingControlColorformats.ICRGB32)
{
//allocate the m_stream_size amount of bytes in non-managed environment
hPylonImage.GenImageInterleaved(ImgBuffer.GetImageDataPtr(), "rgb",
ImgBuffer.Size.Width, ImgBuffer.Size.Height, -1, "byte", ImgBuffer.Size.Width, ImgBuffer.Size.Height, 0, 0, -1, 0);
}
else
{
Util.Notify(string.Format("相机{0}编码格式不正确", cameraIndex));
}
TrigerImageEvent();
}
}
catch (System.ArgumentException ex)
{
Util.WriteLog(this.GetType(), ex);
Util.Notify(string.Format("相机{0}图像数据包丢失", cameraIndex));
}
catch (Exception ex)
{
Util.WriteLog(this.GetType(), ex);
Util.Notify(string.Format("相机{0}图像数据返回出现异常", cameraIndex));
}
}
// 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 Window_ContentRendered(object sender, EventArgs e)
{
HOperatorSet.OpenWindow(0, 0, 1920, 1080, 0, "buffer", "", out BufferWindow);
}
/// <summary>
/// If calibration data is available and valid, then transform the
/// distance between measure result edges into world coordinates,
/// else leave them the same.
/// </summary>
public HTuple Distance(HTuple row1, HTuple col1, HTuple row2, HTuple col2, int shift)
{
HTuple rows, cols, rowRect, colRect;
HTuple distance = new HTuple();
HXLDCont contour;
if (shift == 0)
{
if (mROIType == ROI.ROI_TYPE_CIRCLEARC)
{
double cRow, cCol, radius, extent, phi1, phi2, phi, res, length, tmp;
cRow = mROICoord[0].D;
cCol = mROICoord[1].D;
radius = mROICoord[2].D;
extent = mROICoord[4].D;
HOperatorSet.TupleGenConst(new HTuple(row1.Length), 0.0, out distance);
for (int i = 0; i < distance.Length; i++)
{
phi1 = HMisc.AngleLx(cRow, cCol, row1[i].D, col1[i].D);
phi2 = HMisc.AngleLx(cRow, cCol, row2[i].D, col2[i].D);
if (extent < 0)
{
tmp = phi1;
phi1 = phi2;
phi2 = tmp;
}
phi = phi2 - phi1;
if (phi < 0)
{
phi += 2 * Math.PI;
}
res = 0.05 * 24.0 / (radius * phi);
contour = new HXLDCont();
contour.GenEllipseContourXld(cRow, cCol, 0, radius, radius, phi1, phi2, "positive", res);
contour.GetContourXld(out rows, out cols);
Rectify(rows, cols, out rowRect, out colRect);
contour.Dispose();
contour.GenContourPolygonXld(rowRect, colRect);
length = contour.LengthXld();
distance[i].D = length;
contour.Dispose();
}
}
else if (mROIType == ROI.ROI_TYPE_LINE)
{
HTuple rRect1, cRect1, rRect2, cRect2;
Rectify(row1, col1, out rRect1, out cRect1);
Rectify(row2, col2, out rRect2, out cRect2);
distance = HMisc.DistancePp(rRect1, cRect1, rRect2, cRect2);
}
return(distance);
}
else
{
HTuple rClip1, cClip1, rShift2, cShift2;
rClip1 = row1.TupleSelectRange(new HTuple(0), new HTuple(row1.Length - shift - 1));
cClip1 = col1.TupleSelectRange(new HTuple(0), new HTuple(col1.Length - shift - 1));
rShift2 = row2.TupleSelectRange(new HTuple(shift), new HTuple(row2.Length - 1));
cShift2 = col2.TupleSelectRange(new HTuple(shift), new HTuple(col2.Length - 1));
return(this.Distance(rClip1, cClip1, rShift2, cShift2, 0));
}
}
public MeasureResult Action()
{
#region 輸出結果
CircleResult mResult = null;
#endregion
HTuple hv_STD_Row;
HTuple hv_STD_Col, hv_Img_Row, hv_Img_Col, hv_Img_Rotate_Angle;
HTuple hv_OffsetRow, hv_OffsetCol;
HOperatorSet.SetSystem("border_shape_models", "false");
//STD 中心點
hv_STD_Row = 839.5;
hv_STD_Col = 1046.5;
//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;
//圓ROI
HTuple f_ROI_Row = 386.41015625;
HTuple f_ROI_Col = 795.529411764706;
HTuple f_radius = 42.0323369109;
//重定位
HTuple f_ROI_Cur_Row, f_ROI_Cur_Col;
PositionLocater.ReLocater(hv_STD_Row, hv_STD_Col, hv_AllModelAngle, hv_OffsetRow, hv_OffsetCol, f_ROI_Row, f_ROI_Col, out f_ROI_Cur_Row, out f_ROI_Cur_Col);
/**/
#region Measure
var cROIController = new ROIController();
var cAssistant = new MeasureAssistant(cROIController);
var hImage = ho_Image as HImage;
cAssistant.setImage(hImage);
/*參數值*/
cAssistant.mThresh = 40.0;
cAssistant.mSigma = 1.0;
cAssistant.mRoiWidth = 10;
cAssistant.mInterpolation = "nearest_neighbor";
cAssistant.mSelPair = false;
cAssistant.mTransition = "all";
cAssistant.mPosition = "all";
cAssistant.mDispEdgeLength = 30;
cAssistant.mDispROIWidth = true;
cAssistant.setUnit("cm");
cAssistant.mInitThresh = 40.0;
cAssistant.mInitSigma = 1.0;
cAssistant.mInitRoiWidth = 10;
var roiF = new ROICircle()
{
ROIMeasureType = MeasureType.Circle
};
//roiF.MakeROI(416, 998, 0, 26.5, 71.2);
roiF.MakeROI(f_ROI_Cur_Row, f_ROI_Cur_Col, f_radius);
double inc = 0.3;
double miniRadius = 0.7;
double maxRadius = 0.9;
double currentRadius = 0;
int doingCount = 0;
//,0.2,0.4,0.6
//0.2,0.4,0.6
//0.7,0.8,0.9
MeasureViewModel model = null;
var inBoundry = false;
do
{
roiF.MakeROI(f_ROI_Cur_Row, f_ROI_Cur_Col, f_radius);
var fitCircle = new MeasurementCircle(roiF, cAssistant);
model = fitCircle.GetViewModel();
if (model.Distance != null && model.Distance.TupleLength() > 0)
{
currentRadius = CameraSystem.ToRealWorldValue(model.Distance.D);
inBoundry = (miniRadius <= currentRadius && currentRadius <= maxRadius);
if (inBoundry)
{
mResult = new CircleResult()
{
Row = new HTuple(model.Row1),
Col = new HTuple(model.Col1),
Radius = new HTuple(model.Distance),
StartPhi = new HTuple(model.StartPhi),
EndPhi = new HTuple(model.EndPhi),
PointOrder = new HTuple(model.PointOrder),
};
break;
}
}
if (currentRadius < miniRadius)
{
f_radius += inc;
}
else
{
f_radius -= inc;
}
doingCount++;
if (doingCount > 15)
{
break;
}
}while (!inBoundry);
#endregion
return(mResult);
}
public bool FindShapeModel(HObject srcImg, RectangleF searchArea, out MatchingResult result)
{
bool isSuccess = true;
result = new MatchingResult();
result.mScore = new HTuple();
HObject reducedImage = new HObject();
HObject roi = new HObject();
HOperatorSet.GenEmptyObj(out roi);
HOperatorSet.GenEmptyObj(out reducedImage);
try
{
if (srcImg == null)
{
m_MatchAssistant.setImage();
}
else
{
double NowScale = m_MatchingParam.mImageSizeScale;
HOperatorSet.GenRectangle1(out roi, searchArea.Y * NowScale, searchArea.X * NowScale,
(searchArea.Y + searchArea.Height) * NowScale, (searchArea.X + searchArea.Width) * NowScale);
HObject ScaleImg = new HObject();
HOperatorSet.ZoomImageFactor(srcImg, out ScaleImg, NowScale, NowScale, "constant");
HOperatorSet.ReduceDomain(ScaleImg, roi, out reducedImage);
m_MatchAssistant.setTestImage(reducedImage);
}
// m_MatchAssistant.setImage(new HImage(srcImg));
isSuccess = m_MatchAssistant.applyFindModel();
if (isSuccess)
{
result = m_MatchAssistant.getMatchingResults();
if (result.count < 1)
{
Logger.PopError("找模板失败");
isSuccess = false;
}
}
}
catch (Exception ex)
{
if (reducedImage != null)
{
reducedImage.Dispose();
}
if (roi != null)
{
roi.Dispose();
}
isSuccess = false;
Logger.PopError("找模板失败：" + ex.Message.ToString());
}
if (isSuccess)
{
//string ccdName = CameraTest.Instance.GetCCDName(true, true, 1);
//ViewControl view = DisplaySystem.GetViewControl(ccdName);
//HImage img = m_MatchAssistant.getCurrTestImage();
//view.AddViewImage(img);
//HXLD contour;
//GetDetectionContour(out contour);
//view.AddViewObject(contour);
//view.AddViewCross(2048/2, 2448 / 2, 2048, 0);
//view.AddViewLine(0, 2448 / 2, 2048,2448/2);
//view.AddViewLine(2048 / 2, 0, 2048/2, 2448);
//view.ShowAiming();
//view.Repaint();
//string str = string.Format("匹配度：{0}%", (100 * result.mScore.D).ToString("f2"));
//view.SetString(20, 50, "red", str);
}
else
{
if (srcImg == null)
{
return(false);
}
//HOperatorSet.WriteImage(srcImg, "bmp", 0, "D:\\ReducedImage\\Model_SrcImage_" + SharpImageNumber.ToString() + ".bmp");
//HOperatorSet.WriteImage(reducedImage, "bmp", 0, "D:\\ReducedImage\\Model_ReducedImage_" + SharpImageNumber.ToString() + ".bmp");
if (reducedImage != null)
{
reducedImage.Dispose();
}
if (roi != null)
{
roi.Dispose();
}
SharpImageNumber++;
}
return(isSuccess);
}
public xuanxiang()
{
//RegionToDisp = Image;
HOperatorSet.GenEmptyObj(out RegionToDisp);
RegionToDisp.Dispose();
}
// 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();
}
public luowenbiaomian5()
{
//RegionToDisp = Image;
HOperatorSet.GenEmptyObj(out RegionToDisp);
RegionToDisp.Dispose();
}
// Procedures
// Chapter: Develop
// Short Description: Open a new graphics window that preserves the aspect ratio of the given image.
public void dev_open_window_fit_image(HObject ho_Image, HTuple hv_Row, HTuple hv_Column,
HTuple hv_WidthLimit, HTuple hv_HeightLimit, out HTuple hv_WindowHandle)
{
// Local iconic variables
// Local control variables
HTuple hv_MinWidth = new HTuple(), hv_MaxWidth = new HTuple();
HTuple hv_MinHeight = new HTuple(), hv_MaxHeight = new HTuple();
HTuple hv_ResizeFactor = null, hv_ImageWidth = null, hv_ImageHeight = null;
HTuple hv_TempWidth = null, hv_TempHeight = null, hv_WindowWidth = new HTuple();
HTuple hv_WindowHeight = null;
// Initialize local and output iconic variables
hv_WindowHandle = new HTuple();
//This procedure opens a new graphics window and adjusts the size
//such that it fits into the limits specified by WidthLimit
//and HeightLimit, but also maintains the correct image aspect ratio.
//
//If it is impossible to match the minimum and maximum extent requirements
//at the same time (f.e. if the image is very long but narrow),
//the maximum value gets a higher priority,
//
//Parse input tuple WidthLimit
if ((int)((new HTuple((new HTuple(hv_WidthLimit.TupleLength())).TupleEqual(0))).TupleOr(
new HTuple(hv_WidthLimit.TupleLess(0)))) != 0)
{
hv_MinWidth = 500;
hv_MaxWidth = 800;
}
else if ((int)(new HTuple((new HTuple(hv_WidthLimit.TupleLength())).TupleEqual(
1))) != 0)
{
hv_MinWidth = 0;
hv_MaxWidth = hv_WidthLimit.Clone();
}
else
{
hv_MinWidth = hv_WidthLimit.TupleSelect(0);
hv_MaxWidth = hv_WidthLimit.TupleSelect(1);
}
//Parse input tuple HeightLimit
if ((int)((new HTuple((new HTuple(hv_HeightLimit.TupleLength())).TupleEqual(0))).TupleOr(
new HTuple(hv_HeightLimit.TupleLess(0)))) != 0)
{
hv_MinHeight = 400;
hv_MaxHeight = 600;
}
else if ((int)(new HTuple((new HTuple(hv_HeightLimit.TupleLength())).TupleEqual(
1))) != 0)
{
hv_MinHeight = 0;
hv_MaxHeight = hv_HeightLimit.Clone();
}
else
{
hv_MinHeight = hv_HeightLimit.TupleSelect(0);
hv_MaxHeight = hv_HeightLimit.TupleSelect(1);
}
//
//Test, if window size has to be changed.
hv_ResizeFactor = 1;
HOperatorSet.GetImageSize(ho_Image, out hv_ImageWidth, out hv_ImageHeight);
//First, expand window to the minimum extents (if necessary).
if ((int)((new HTuple(hv_MinWidth.TupleGreater(hv_ImageWidth))).TupleOr(new HTuple(hv_MinHeight.TupleGreater(
hv_ImageHeight)))) != 0)
{
hv_ResizeFactor = (((((hv_MinWidth.TupleReal()) / hv_ImageWidth)).TupleConcat(
(hv_MinHeight.TupleReal()) / hv_ImageHeight))).TupleMax();
}
hv_TempWidth = hv_ImageWidth * hv_ResizeFactor;
hv_TempHeight = hv_ImageHeight * hv_ResizeFactor;
//Then, shrink window to maximum extents (if necessary).
if ((int)((new HTuple(hv_MaxWidth.TupleLess(hv_TempWidth))).TupleOr(new HTuple(hv_MaxHeight.TupleLess(
hv_TempHeight)))) != 0)
{
hv_ResizeFactor = hv_ResizeFactor * ((((((hv_MaxWidth.TupleReal()) / hv_TempWidth)).TupleConcat(
(hv_MaxHeight.TupleReal()) / hv_TempHeight))).TupleMin());
}
hv_WindowWidth = hv_ImageWidth * hv_ResizeFactor;
hv_WindowHeight = hv_ImageHeight * hv_ResizeFactor;
//Resize window
//dev_open_window(...);
HOperatorSet.SetPart(hv_ExpDefaultWinHandle, 0, 0, hv_ImageHeight - 1, hv_ImageWidth - 1);
return;
}
public MainForm()
{
//将当前线程绑定到指定的cpu核心上
GetCpu.SetThreadAffinityMask(GetCpu.GetCurrentThread(), new UIntPtr(0x0008));
InitializeComponent();
//Control.CheckForIllegalCrossThreadCalls = true;
pn = new ProductNum();
isfirstrun = true;
//HOperatorSet.GenEmptyObj(out Image1);
//HOperatorSet.GenEmptyObj(out Image2);
//HOperatorSet.GenEmptyObj(out Image3);
//HOperatorSet.GenEmptyObj(out Image4);
//Image1.Dispose();
//Image2.Dispose();
//Image3.Dispose();
//Image4.Dispose();
this.gridView1.RowCellStyle += new DevExpress.XtraGrid.Views.Grid.RowCellStyleEventHandler(gridView1_RowCellStyle);
HOperatorSet.GenEmptyObj(out ImageTemp);
ImageTemp.Dispose();
ccameras = new List <CCamera>();
CCD = new Dictionary <string, CCamera>();
ds = new DataSet();
dt = new DataTable("datacopy");
CurrentCCD = "CCD1";
MSStartTimer.Tick += new EventHandler(MSStartTimer_OnTime);
MSStoptTimer.Tick += new EventHandler(MSStoptTimer_OnTime);
InitialDataGrid(gridControlResult, ds);
ReadCameraSetting();
FormLoadProduct f = new FormLoadProduct();
//Thread th = new Thread(new ThreadStart(DoSplash));
//th.Start();
//Thread.Sleep(3000);
//th.Abort();
//Thread.Sleep(1000);
//if (splashResult == DialogResult.Cancel)
//{
// this.Close();
//}
DialogResult dialogr = f.ShowDialog();
if (dialogr == DialogResult.OK)
{
try
{
FileHelper.LoadCameraResultToShowData(ccameras, PathHelper.currentProductPath);
FileHelper.LoadProductData(gridView1, gridControlResult, ds, PathHelper.currentProductPath);
FileHelper.LoadCameraToolsData(ccameras, PathHelper.currentProductPath);
labelpname.Text = PathHelper.currentProduct;
}
catch
{
MessageBox.Show("相机或产品信息加载错误");
}
}
else if (dialogr == DialogResult.Cancel)
{
this.Close();
}
string path = @"c:\zyw.txt";
if (!File.Exists(path))
{
File.AppendAllText(path, "zhongwen", Encoding.Default);
}
zyw = File.ReadAllText(path, Encoding.Default);
if (zyw == "zhongwen")
{
label1.Text = "产品名称：";
simpleButton1.Text = "生成报表";
BtnSaveParam.Text = "保存参数";
BtnSaveNewProduct.Text = "保存新产品";
BtnControlSet.Text = "控制设定";
BtnLogin.Text = "登录";
BtnLoadProduct.Text = "计数清零";
BtnSetting.Text = "设定";
BtnStop.Text = "停止";
BtnStart.Text = "启动";
}
if (zyw == "yinwen")
{
label1.Text = "productname:";
simpleButton1.Text = "GenerateReport";
BtnSaveParam.Text = "SaveParameter";
BtnSaveNewProduct.Text = "SaveNewProduct";
BtnControlSet.Text = "ControlSet";
BtnLogin.Text = "Login";
BtnLoadProduct.Text = "ResetAllCounters";
BtnSetting.Text = "Setting";
BtnStop.Text = "Stop";
BtnStart.Text = "Start";
}
Turntable.Instance.ReadPos(PathHelper.dataPath + @"\Position.xml");
// Turntable.Instance.OnUpdateProductInfoEvent += new Turntable.UpdateProductInfo(UpdateProInfo);
Turntable.Instance.StrongPressEventHandler += new Turntable.StrongPress(Instance_StrongPressEventHandler);
Turntable.Instance.wuliao += new Turntable.wuliaohandler(wuliaotingzhiEventHandler);
}
public void InitHalcon()
{
// Default settings used in HDevelop
HOperatorSet.SetSystem("width", 512);
HOperatorSet.SetSystem("height", 512);
}
//DateTime t1, t2, t3, t4,t5,t6,t7;
private void action()
{
HObject ho_Region2 = null, ho_ConnectedRegions4 = null;
HObject ho_SelectedRegions1 = null, ho_RegionClosing = null;
HObject ho_RegionDifference = null, ho_ConnectedRegions1 = null;
HObject ho_ObjectSelected1 = null, ho_Contours = null, ho_RegionErosion1 = null;
HObject ho_RegionDilation1 = null, ho_RegionErosion = null;
HObject ho_RegionIntersection = null, ho_RegionDilation2 = null;
HObject ho_RegionDifference1 = null, ho_ConnectedRegions2 = null;
HObject ho_SelectedRegions = null, ho_RegionUnion = null, ho_RegionDilation = null;
HObject ho_ImageReduced = null, ho_Region1 = null, ho_ConnectedRegions3 = null;
HObject ho_ObjectSelected2 = null, ho_RegionFillUp = null, ho_Circle = null;
HObject ho_Circle1 = null, ho_RegionDifference2 = null, ho_RegionUnion1 = null;
HObject ho_RegionUnion2 = null;
HTuple hv_Area1 = new HTuple(), hv_Row2 = new HTuple();
HTuple hv_Column2 = new HTuple(), hv_Indices1 = new HTuple();
HTuple hv_Row3 = new HTuple(), hv_Column3 = new HTuple();
HTuple hv_Radius1 = new HTuple(), hv_StartPhi = new HTuple();
HTuple hv_EndPhi = new HTuple(), hv_PointOrder = new HTuple();
HTuple hv_Circularity = new HTuple(), hv_Area2 = new HTuple();
HTuple hv_Row5 = new HTuple(), hv_Column5 = new HTuple();
HTuple hv_Area3 = new HTuple(), hv_Row6 = new HTuple();
HTuple hv_Column6 = new HTuple(), hv_Indices2 = new HTuple();
HTuple hv_Row7 = new HTuple(), hv_Column7 = new HTuple();
HTuple hv_Radius2 = new HTuple(), hv_Row8 = new HTuple();
HTuple hv_Column8 = new HTuple(), hv_Radius3 = new HTuple();
// Initialize local and output iconic variables
HOperatorSet.GenEmptyObj(out ho_Region2);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions4);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions1);
HOperatorSet.GenEmptyObj(out ho_RegionClosing);
HOperatorSet.GenEmptyObj(out ho_RegionDifference);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions1);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected1);
HOperatorSet.GenEmptyObj(out ho_Contours);
HOperatorSet.GenEmptyObj(out ho_RegionErosion1);
HOperatorSet.GenEmptyObj(out ho_RegionDilation1);
HOperatorSet.GenEmptyObj(out ho_RegionErosion);
HOperatorSet.GenEmptyObj(out ho_RegionIntersection);
HOperatorSet.GenEmptyObj(out ho_RegionDilation2);
HOperatorSet.GenEmptyObj(out ho_RegionDifference1);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions2);
HOperatorSet.GenEmptyObj(out ho_SelectedRegions);
HOperatorSet.GenEmptyObj(out ho_RegionUnion);
HOperatorSet.GenEmptyObj(out ho_RegionDilation);
HOperatorSet.GenEmptyObj(out ho_ImageReduced);
HOperatorSet.GenEmptyObj(out ho_Region1);
HOperatorSet.GenEmptyObj(out ho_ConnectedRegions3);
HOperatorSet.GenEmptyObj(out ho_ObjectSelected2);
HOperatorSet.GenEmptyObj(out ho_RegionFillUp);
HOperatorSet.GenEmptyObj(out ho_Circle);
HOperatorSet.GenEmptyObj(out ho_Circle1);
HOperatorSet.GenEmptyObj(out ho_RegionDifference2);
HOperatorSet.GenEmptyObj(out ho_RegionUnion1);
HOperatorSet.GenEmptyObj(out ho_RegionUnion2);
HOperatorSet.Union1(algorithm.Region, out RegionToDisp);
//t3 = DateTime.Now;
try
{
ho_Region2.Dispose();
HOperatorSet.Threshold(Image, out ho_Region2, 0, thv);
ho_ConnectedRegions4.Dispose();
HOperatorSet.Connection(ho_Region2, out ho_ConnectedRegions4);
ho_SelectedRegions1.Dispose();
HOperatorSet.SelectShape(ho_ConnectedRegions4, out ho_SelectedRegions1, "area",
"and", mjxx, mjsx);
ho_RegionClosing.Dispose();
HOperatorSet.ClosingCircle(ho_SelectedRegions1, out ho_RegionClosing, 700);
ho_RegionDifference.Dispose();
HOperatorSet.Difference(ho_RegionClosing, ho_SelectedRegions1, out ho_RegionDifference
);
ho_ConnectedRegions1.Dispose();
HOperatorSet.Connection(ho_RegionDifference, out ho_ConnectedRegions1);
HOperatorSet.AreaCenter(ho_ConnectedRegions1, out hv_Area1, out hv_Row2, out hv_Column2);
HOperatorSet.TupleFind(hv_Area1, hv_Area1.TupleMax(), out hv_Indices1);
ho_ObjectSelected1.Dispose();
HOperatorSet.SelectObj(ho_ConnectedRegions1, out ho_ObjectSelected1, hv_Indices1 + 1);
ho_Contours.Dispose();
HOperatorSet.GenContourRegionXld(ho_ObjectSelected1, out ho_Contours, "border");
HOperatorSet.FitCircleContourXld(ho_Contours, "algebraic", -1, 0, 0, 3, 2,
out hv_Row3, out hv_Column3, out hv_Radius1, out hv_StartPhi, out hv_EndPhi,
out hv_PointOrder);
ho_RegionErosion1.Dispose();
HOperatorSet.ErosionCircle(ho_ObjectSelected1, out ho_RegionErosion1, 10.5);
ho_RegionDilation1.Dispose();
HOperatorSet.DilationCircle(ho_RegionErosion1, out ho_RegionDilation1, 10.5);
HOperatorSet.Circularity(ho_RegionDilation1, out hv_Circularity);
ho_RegionErosion.Dispose();
HOperatorSet.ErosionCircle(ho_RegionClosing, out ho_RegionErosion, 25.5);
ho_RegionIntersection.Dispose();
HOperatorSet.Intersection(ho_RegionDifference, ho_RegionErosion, out ho_RegionIntersection
);
ho_RegionDilation2.Dispose();
HOperatorSet.DilationCircle(ho_RegionDilation1, out ho_RegionDilation2, 5.5);
ho_RegionDifference1.Dispose();
HOperatorSet.Difference(ho_RegionIntersection, ho_RegionDilation2, out ho_RegionDifference1
);
ho_ConnectedRegions2.Dispose();
HOperatorSet.Connection(ho_RegionDifference1, out ho_ConnectedRegions2);
ho_SelectedRegions.Dispose();
HOperatorSet.SelectShape(ho_ConnectedRegions2, out ho_SelectedRegions, "area",
"and", 15, 99999000);
ho_RegionUnion.Dispose();
HOperatorSet.Union1(ho_SelectedRegions, out ho_RegionUnion);
HOperatorSet.AreaCenter(ho_RegionUnion, out hv_Area2, out hv_Row5, out hv_Column5);
ho_RegionDilation.Dispose();
HOperatorSet.DilationCircle(ho_RegionClosing, out ho_RegionDilation, 30);
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(Image, ho_RegionDilation, out ho_ImageReduced);
ho_Region1.Dispose();
HOperatorSet.Threshold(ho_ImageReduced, out ho_Region1, 170, 255);
ho_ConnectedRegions3.Dispose();
HOperatorSet.Connection(ho_Region1, out ho_ConnectedRegions3);
HOperatorSet.AreaCenter(ho_ConnectedRegions3, out hv_Area3, out hv_Row6, out hv_Column6);
HOperatorSet.TupleFind(hv_Area3, hv_Area3.TupleMax(), out hv_Indices2);
ho_ObjectSelected2.Dispose();
HOperatorSet.SelectObj(ho_ConnectedRegions3, out ho_ObjectSelected2, hv_Indices2 + 1);
ho_RegionFillUp.Dispose();
HOperatorSet.FillUp(ho_ObjectSelected2, out ho_RegionFillUp);
HOperatorSet.SmallestCircle(ho_RegionFillUp, out hv_Row7, out hv_Column7, out hv_Radius2);
ho_Circle.Dispose();
HOperatorSet.GenCircle(out ho_Circle, hv_Row7, hv_Column7, hv_Radius2);
HOperatorSet.InnerCircle(ho_RegionFillUp, out hv_Row8, out hv_Column8, out hv_Radius3);
ho_Circle1.Dispose();
HOperatorSet.GenCircle(out ho_Circle1, hv_Row8, hv_Column8, hv_Radius3);
ho_RegionDifference2.Dispose();
HOperatorSet.Difference(ho_Circle, ho_Circle1, out ho_RegionDifference2);
ho_RegionUnion1.Dispose();
HOperatorSet.Union2(ho_RegionDifference2, ho_RegionUnion, out ho_RegionUnion1
);
ho_RegionUnion2.Dispose();
HOperatorSet.Union2(ho_RegionUnion1, ho_RegionDilation1, out RegionToDisp
);
if (hv_Area2.TupleLength() == 0)
{
hv_Area2 = 0;
}
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("垫片内孔圆度");
hv_result = hv_result.TupleConcat(hv_Circularity.D);
hv_result = hv_result.TupleConcat("垫片内孔直径");
hv_result = hv_result.TupleConcat(hv_Radius1.D * 2 * pixeldist);
hv_result = hv_result.TupleConcat("垫片灰尘");
hv_result = hv_result.TupleConcat(hv_Area2.D);
hv_result = hv_result.TupleConcat("不圆");
hv_result = hv_result.TupleConcat((hv_Radius2.D - hv_Radius3.D) * pixeldist);
result = hv_result.Clone();
//t4 = DateTime.Now;
}
catch
{
HTuple hv_result = GetHv_result();
hv_result = hv_result.TupleConcat("垫片内孔圆度");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("垫片内孔直径");
hv_result = hv_result.TupleConcat(0);
hv_result = hv_result.TupleConcat("垫片灰尘");
hv_result = hv_result.TupleConcat(999999);
hv_result = hv_result.TupleConcat("不圆");
hv_result = hv_result.TupleConcat(1000 * pixeldist);
result = hv_result.Clone();
}
finally
{
ho_Region2.Dispose();
ho_ConnectedRegions4.Dispose();
ho_SelectedRegions1.Dispose();
ho_RegionClosing.Dispose();
ho_RegionDifference.Dispose();
ho_ConnectedRegions1.Dispose();
ho_ObjectSelected1.Dispose();
ho_Contours.Dispose();
ho_RegionErosion1.Dispose();
ho_RegionDilation1.Dispose();
ho_RegionErosion.Dispose();
ho_RegionIntersection.Dispose();
ho_RegionDilation2.Dispose();
ho_RegionDifference1.Dispose();
ho_ConnectedRegions2.Dispose();
ho_SelectedRegions.Dispose();
ho_RegionUnion.Dispose();
ho_RegionDilation.Dispose();
ho_ImageReduced.Dispose();
ho_Region1.Dispose();
ho_ConnectedRegions3.Dispose();
ho_ObjectSelected2.Dispose();
ho_RegionFillUp.Dispose();
ho_Circle.Dispose();
ho_Circle1.Dispose();
ho_RegionDifference2.Dispose();
ho_RegionUnion1.Dispose();
ho_RegionUnion2.Dispose();
algorithm.Region.Dispose();
}
}
public HDevelopExport()
{
// Default settings used in HDevelop
HOperatorSet.SetSystem("do_low_error", "false");
action();
}
