private void Button_Click_Get_Image(object sender, RoutedEventArgs e)
{
// 在WPF中， OpenFileDialog位于Microsoft.Win32名称空间
Microsoft.Win32.OpenFileDialog dialog = new Microsoft.Win32.OpenFileDialog();
dialog.Filter = "图像文件(*.jpg; *.jpeg;*.bmp;*.png)| *.jpg; *.jpeg;*.bmp;*.png | 所有文件 | *.* ";
if (dialog.ShowDialog() != true)
{
return;
}
Console.WriteLine("第" + global.GetIns().CamSel.ToString() + "相机被选择");
try
{
switch (global.GetIns().CamSel)
{
case 0: Obj[0].Dispose(); HOperatorSet.ReadImage(out Obj[0], dialog.FileName); CameraADisp.RunHalcon(this.CamSetting.HalconID, Obj[0]); break;
case 1: Obj[1].Dispose(); HOperatorSet.ReadImage(out Obj[1], dialog.FileName); CameraBDisp.RunHalcon(this.CamSetting.HalconID, Obj[1]); break;
case 2: Obj[2].Dispose(); HOperatorSet.ReadImage(out Obj[2], dialog.FileName); CameraCDisp.RunHalcon(this.CamSetting.HalconID, Obj[2]); break;
case 3: Obj[3].Dispose(); HOperatorSet.ReadImage(out Obj[3], dialog.FileName); CameraDDisp.RunHalcon(this.CamSetting.HalconID, Obj[3]); break;
default: break;
}
}
catch (HalconException HDevExpDefaultException)
{
HTuple hv_exception = null;
HDevExpDefaultException.ToHTuple(out hv_exception);
return;
}
}
public void Get_ICRegion_points(HTuple hv_width, HTuple hv_height, HTuple hv_Row, HTuple hv_Col, HTuple hv_uvHxy, HTuple hv_zoomFactor,
out HTuple hv_icXScan, out HTuple hv_icYScan, out HTuple hv_iFlag)
{
hv_iFlag = "";
hv_icXScan = new HTuple();
hv_icYScan = new HTuple();
HTuple hv_uvHxyScaled = new HTuple();
try
{
HOperatorSet.HomMat2dScale(hv_uvHxy, 1 / hv_zoomFactor, 1 / hv_zoomFactor, 0, 0, out hv_uvHxyScaled);
hv_icXScan = (hv_uvHxyScaled.TupleSelect(0) * ((hv_height - 1) / 2.0 - hv_Row))
+ (hv_uvHxyScaled.TupleSelect(1) * ((hv_width - 1) / 2.0 - hv_Col));
hv_icYScan = (hv_uvHxyScaled.TupleSelect(3) * ((hv_height - 1) / 2.0 - hv_Row))
+ (hv_uvHxyScaled.TupleSelect(4) * ((hv_width - 1) / 2.0 - hv_Col));
}
catch (HalconException HDevExpDefaultException)
{
HTuple hv_Exception = new HTuple();
HDevExpDefaultException.ToHTuple(out hv_Exception);
VisionMethonDll.VisionMethon.GetErrInfo(hv_Exception, out hv_iFlag);
}
}
/// <summary>
/// 获取大芯片中心的扫描点位（IC的中心为相机视野中心）
/// </summary>
/// <param name="hv_width"></param>
/// <param name="hv_height"></param>
/// <param name="hv_uvHxy"></param>
/// <param name="hv_widthFactor"></param>
/// <param name="hv_heightFactor"></param>
/// <param name="hv_zoomFactor"></param>
/// <param name="hv_mapRowCnt"></param>
/// <param name="hv_mapColCnt"></param>
/// <param name="hv_clipmapX"></param>
/// <param name="hv_clipmapY"></param>
/// <param name="hv_clipmapRow"></param>
/// <param name="hv_clipmapCol"></param>
/// <param name="hv_snapX"></param>
/// <param name="hv_snapY"></param>
/// <param name="hv_snapRow"></param>
/// <param name="hv_snapCol"></param>
/// <param name="hv_iFlag"></param>
public void get_scan_points(HTuple hv_width, HTuple hv_height, HTuple hv_uvHxy, HTuple hv_zoomFactor, HTuple hv_mapRowCnt, HTuple hv_mapColCnt, HTuple hv_clipmapX,
HTuple hv_clipmapY, HTuple hv_clipmapRow, HTuple hv_clipmapCol, out HTuple hv_snapX, out HTuple hv_snapY, out HTuple hv_snapRow, out HTuple hv_snapCol, out HTuple hv_iFlag)
{
hv_iFlag = "";
hv_snapX = new HTuple();
hv_snapY = new HTuple();
hv_snapRow = new HTuple();
hv_snapCol = new HTuple();
HTuple hv_uvHxyScaled = new HTuple();
try
{
//HOperatorSet.HomMat2dScale(hv_uvHxy, 1 /*/ hv_zoomFactor*/, 1 /*/ hv_zoomFactor*/, 0, 0, out hv_uvHxyScaled);
//hv_snapX = hv_clipmapX + ((hv_uvHxyScaled.TupleSelect(0) * (-1) * (hv_height - 1)) / 2.0)
// + ((hv_uvHxyScaled.TupleSelect(1) * (-1) * (hv_width - 1)) / 2.0);
//hv_snapY = hv_clipmapY + ((hv_uvHxyScaled.TupleSelect(3) * (-1) * (hv_height - 1)) / 2.0)
// + ((hv_uvHxyScaled.TupleSelect(4) * (-1) * (hv_width - 1)) / 2.0);
//*****将扫描点位按弓字形排序
HTuple hv_seqInd = new HTuple();
HTuple hv_rowIndConst = new HTuple();
HTuple hv_colIndSeq = new HTuple();
HTuple hv__x = new HTuple();
HTuple hv__y = new HTuple();
HTuple hv_i = 0;
for (hv_i = 0; hv_i < hv_mapRowCnt; hv_i++)
{
HOperatorSet.TupleGenSequence(hv_i * hv_mapColCnt, ((hv_i + 1) * hv_mapColCnt) - 1,
1, out hv_seqInd);
HOperatorSet.TupleGenConst(hv_mapColCnt, hv_i, out hv_rowIndConst);
HOperatorSet.TupleGenSequence(0, hv_mapColCnt - 1, 1, out hv_colIndSeq);
if ((int)(new HTuple(((hv_i % 2)).TupleEqual(0))) != 0)
{
hv__x = hv_clipmapX.TupleSelect(hv_seqInd);
hv__y = hv_clipmapY.TupleSelect(hv_seqInd);
}
else
{
hv__x = ((hv_clipmapX.TupleSelect(hv_seqInd))).TupleInverse();
hv__y = ((hv_clipmapY.TupleSelect(hv_seqInd))).TupleInverse();
hv_colIndSeq = hv_colIndSeq.TupleInverse();
}
hv_snapX = hv_snapX.TupleConcat(hv__x);
hv_snapY = hv_snapY.TupleConcat(hv__y);
hv_snapRow = hv_snapRow.TupleConcat(hv_rowIndConst);
hv_snapCol = hv_snapCol.TupleConcat(hv_colIndSeq);
}
}
catch (HalconException HDevExpDefaultException)
{
HTuple hv_Exception = new HTuple();
HDevExpDefaultException.ToHTuple(out hv_Exception);
VisionMethonDll.VisionMethon.GetErrInfo(hv_Exception, out hv_iFlag);
}
}
private void Button_Click_1(object sender, RoutedEventArgs e)
{
try
{
for (int i = 0; i < 4; i++)
{
try
{
Obj[i].Dispose();
GrabImage.Grab(out Obj[i], global.GetIns().CamSel);
}
catch (Exception ex)
{
Console.WriteLine(ex.ToString());
continue;
}
}
}
catch (HalconException HDevExpDefaultException)
{
HOperatorSet.ReadImage(out Obj[0], @"D:\img\1.bmp");
CameraADisp.RunHalcon(this.Cam1_Disp.HalconID, Obj[0]);
HOperatorSet.ReadImage(out Obj[1], @"D:\img\2.bmp");
CameraADisp.RunHalcon(this.Cam2_Disp.HalconID, Obj[1]);
HOperatorSet.ReadImage(out Obj[2], @"D:\img\3.bmp");
CameraADisp.RunHalcon(this.Cam3_Disp.HalconID, Obj[2]);
HOperatorSet.ReadImage(out Obj[3], @"D:\img\4.bmp");
CameraADisp.RunHalcon(this.Cam4_Disp.HalconID, Obj[3]);
HTuple hv_exception = null;
HDevExpDefaultException.ToHTuple(out hv_exception);
}
try
{
CameraADisp.check_axis(Obj[0], 0, ImageOperate.Track_Model, Cam1_Disp.HalconID);
CameraBDisp.check_axis(Obj[1], 0, ImageOperate.Track_Model, Cam2_Disp.HalconID);
CameraCDisp.check_axis(Obj[2], 0, ImageOperate.Track_Model, Cam3_Disp.HalconID);
CameraDDisp.check_axis(Obj[3], 0, ImageOperate.Track_Model, Cam4_Disp.HalconID);
}
catch (HalconException HDevExpDefaultException)
{
Console.WriteLine(HDevExpDefaultException.ToString());
}
}
public void action(HWindowControl hWindowControl1, String FilePath, String filename, String index)
{
initaVariables();
try
{
//This program demonstrates how to detect small texture
//defects on the surface of plastic items by using the fast
//fourier transform (FFT).
//First, we construct a suitable filter using Gaussian
//filters. Then, the images and the filter are convolved
//by using fast fourier transforms. Finally, the defects
//are detected in the filtered images by using
//morphology operators.
//
//Initializations
dev_update_off();
/*if (HDevWindowStack.IsOpen())
* {
* HOperatorSet.CloseWindow(HDevWindowStack.Pop());
* } LEI */
//read image from file
ho_Image.Dispose();
//1.read image
HOperatorSet.ReadImage(out ho_Image, FilePath + index);// "metal/tube_01");
// ho_ROI_0.Dispose();
// HOperatorSet.GenRectangle1(out ho_ROI_0, 3.33632, 300.556, 990.549, 1648.14);
ho_ROI_0.Dispose();
HOperatorSet.GetImageSize(ho_Image, out hov_Width, out hov_Height);
HOperatorSet.GenRectangle1(out ho_ROI_0, 0, 0, 1200, 4096);//metal
//HOperatorSet.GenRectangle1(out ho_ROI_0, 0, 620.059, 1998.27, 3603.45);//tube的
ho_ImageReduced.Dispose();
HOperatorSet.ReduceDomain(ho_Image, ho_ROI_0, out ho_ImageReduced);
//get_domain (ImageReduced, Domain)
ho_ImagePart.Dispose();
HOperatorSet.CropDomain(ho_ImageReduced, out ho_ImagePart);
HOperatorSet.GetImageSize(ho_ImagePart, out hv_Width, out hv_Height);
HOperatorSet.SetWindowAttr("background_color", "black");
//HOperatorSet.OpenWindow(0, 0, hv_Width, hv_Height, 0, "visible", "", out hv_WindowHandle);
//HDevWindowStack.Push(hv_WindowHandle);
HOperatorSet.OpenWindow(0, 0, hWindowControl1.Width, hWindowControl1.Height, hWindowControl1.HalconWindow, "", "", out hv_WindowHandle);
HDevWindowStack.Push(hv_WindowHandle);
if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_ImagePart, HDevWindowStack.GetActive());
}
ho_ImagePart.Dispose();
hWindowControl1.Refresh();
set_display_font(hv_WindowHandle, 14, "mono", "true", "false");
if (HDevWindowStack.IsOpen())
{
HOperatorSet.SetDraw(HDevWindowStack.GetActive(), "margin");
}
if (HDevWindowStack.IsOpen())
{
HOperatorSet.SetLineWidth(HDevWindowStack.GetActive(), 3);
}
if (HDevWindowStack.IsOpen())
{
HOperatorSet.SetColor(HDevWindowStack.GetActive(), "red");
}
//
//Optimize the fft speed for the specific image size
HOperatorSet.OptimizeRftSpeed(hv_Width, hv_Height, "standard");
//
//Construct a suitable filter by combining two gaussian
//filters
hv_Sigma1 = 10.0;
hv_Sigma2 = 3.0;
ho_GaussFilter1.Dispose();
HOperatorSet.GenGaussFilter(out ho_GaussFilter1, hv_Sigma1, hv_Sigma1, 0.0,
"none", "rft", hv_Width, hv_Height);
ho_GaussFilter2.Dispose();
HOperatorSet.GenGaussFilter(out ho_GaussFilter2, hv_Sigma2, hv_Sigma2, 0.0,
"none", "rft", hv_Width, hv_Height);
ho_Filter.Dispose();
HOperatorSet.SubImage(ho_GaussFilter1, ho_GaussFilter2, out ho_Filter, 1, 0);
//
//Process the images iteratively
hv_NumImages = 5;
HTuple end_val34 = hv_NumImages;
HTuple step_val34 = 1;
//for (hv_Index = 1; hv_Index.Continue(end_val34, step_val34); hv_Index = hv_Index.TupleAdd(step_val34))
//{
HandleOneImage(FilePath, index);
//}
}
catch (HalconException HDevExpDefaultException)
{
System.Diagnostics.Debug.WriteLine(HDevExpDefaultException.GetErrorMessage());
Console.WriteLine(HDevExpDefaultException.StackTrace);
//System.Diagnostics.Debug.Assert(false, HDevExpDefaultException.GetErrorMessage());
DisposeAllObj();
// throw HDevExpDefaultException;
}
DisposeAllObj();
}
