public override int Measure(HObject ho_Image) //测量
{
base.Measure(ho_Image); //调用基类的测量方法
measureResult = Result.OK;
color = "green";
ROI = parameter.rectangle2.GetShapePositioned() as Rectangle2; //获取ROI矩形
HObject ho_ROI = Func_HalconFunction.GenRectangle2(ROI); //创建ROI矩形形状
ho_Shape = Func_ImageProcessing.Threshold_SelectMaxRegion(ho_Image, ho_ROI, parameter.hv_MinGray, parameter.hv_MaxGray); //创建结果形状
HOperatorSet.AreaCenter(ho_Shape, out hv_Area, out centerPoint.hv_Row, out centerPoint.hv_Column); //求取区域面积
ho_ROI.Dispose();
if (minValue > hv_Area || hv_Area > maxValue) //？面积在设定范围内
{
measureResult = Result.NG;
if (Exist)//？无料
{
measureResult = Result.无料;
function = "产品有无";
}
color = "red";
}
MeasureDone = true;//已测量标志为true
return(Convert.ToInt32(measureResult));
}
public override int Measure(HObject ho_Image) //测量
{
measureResult = Result.OK; //测量结果初始OK
try { ho_ROI.Dispose(); } catch (Exception) { }//释放ho_ROI资源
Rectangle2 ROI = parameter.rectangle2.GetShapePositioned() as Rectangle2; //获取ROI矩形
ho_ROI = Func_HalconFunction.GenRectangle2(ROI); //创建ROI
//灰度处理,并选出最大面积
try { ho_SelectedRegions.Dispose(); } catch (Exception) { }//释放ho_SelectedRegions资源
ho_SelectedRegions = Func_ImageProcessing.Threshold_SelectMaxRegion(ho_Image, ho_ROI, parameter.hv_MinGray, parameter.hv_MaxGray);
if (ROI.hv_Phi.D != 0)//角度不为零?
{
//hv_HomMat2D;//变换矩阵
HOperatorSet.VectorAngleToRigid(ROI.hv_Row, ROI.hv_Column, 0, ROI.hv_Row, ROI.hv_Column, -ROI.hv_Phi, out HTuple hv_HomMat2D); //将区域旋转为水平的变换矩阵
// ho_RegionRotate;//水平后的Region
HOperatorSet.AffineTransRegion(ho_SelectedRegions, out HObject ho_RegionRotate, hv_HomMat2D, "nearest_neighbor"); //应用变换
SetLine(Func_ImageProcessing.getLine_FromRegion(ho_RegionRotate, TPLR, b, AngularPoint)); //从区域获取线
HOperatorSet.VectorAngleToRigid(ROI.hv_Row, ROI.hv_Column, 0, ROI.hv_Row, ROI.hv_Column, ROI.hv_Phi, out hv_HomMat2D); //将线从水平变回原角度的变换矩阵
HOperatorSet.AffineTransPixel(hv_HomMat2D, hv_Row1, hv_Column1, out hv_Row1, out hv_Column1); //应用变换
HOperatorSet.AffineTransPixel(hv_HomMat2D, hv_Row2, hv_Column2, out hv_Row2, out hv_Column2); //应用变换
}
else
{
SetLine(Func_ImageProcessing.getLine_FromRegion(ho_SelectedRegions, TPLR, b, AngularPoint));//从区域获取线
}
if (DP == null)
{
DP = new Point(0, 0);
}
DP.hv_Column = (hv_Column1);
DP.hv_Row = (hv_Row1);
AxByC0 = AxByC0.GetAxByC(this); //求该线的一半直线方程
MeasureDone = true; //已测量标志为true
return(Convert.ToInt32(measureResult));
}
public override int Measure(HObject ho_Image)
{
SetLine(Func_ImageProcessing.getLine_FromMetrology(ho_Image, parameter, parameter.Line, out contours, out cross));
if (DP == null)
{
DP = new Point(0, 0);
}
DP.hv_Column = hv_Column1;
DP.hv_Row = hv_Row1;
AxByC0 = AxByC0.GetAxByC(this); //求该线的一半直线方程
MeasureDone = true; //已测量标志为true
return(1);
}
/// <summary>
/// 测量
/// </summary>
/// <param name="ho_Image"></param>
/// <returns></returns>
public override int Measure(HObject ho_Image)
{
//边缘提取拟合成线
SetLine(Func_ImageProcessing.getLine_FromCanny(ho_Image, parameter, parameter.rectangle2.GetShapePositioned() as Rectangle2));
if (DP == null)
{
DP = new Point(0, 0);
}
DP.hv_Column = hv_Column1;
DP.hv_Row = hv_Row1;
AxByC0 = AxByC0.GetAxByC(this); //求该线的一半直线方程
MeasureDone = true; //已测量标志为true
return(1);
}
public override int Measure(HObject ho_Image)
{
HObject ho_RegionUnion;
HOperatorSet.GenEmptyObj(out ho_RegionUnion);
foreach (var item in RegionList)
{
item.Measure(ho_Image); //每一项执行测量
HOperatorSet.Union2(ho_RegionUnion, item.Ho_Region, out ho_RegionUnion); //联合成一个大区域
}
SetCircle(Func_ImageProcessing.getCircle_FromRegion(ho_RegionUnion)); //从区域获取最大外接圆
MeasureDone = true; //已测量标志为true
return(1);
}
public override int Measure(HObject ho_Image) //测量
{
parameter.line.Measure(ho_Image); //测量
Point point = Func_ImageProcessing.getPoint(ho_Image, parameter); //求出检测到的点
SetLine(Func_Mathematics.Line_Point_Length_To_VerticalLine(parameter.line, point, parameter.hv_RoiWidthLen2 / 2)); //根据检测长度生成边缘线
if (DP == null)
{
DP = new Point(0, 0);
}
DP.hv_Column = (hv_Column1);
DP.hv_Row = (hv_Row1);
AxByC0 = AxByC0.GetAxByC(this); //求该线的一半直线方程
MeasureDone = true; //已测量标志为true
return(1);
}
public override int Measure(HObject ho_Image)
{
SetCircle(Func_ImageProcessing.getCircle_FromMetrology(ho_Image, parameter, parameter.Circle, out contours, out cross));
MeasureDone = true;//已测量标志为true
return(1);
}
