// Main procedure
public void action_load(HWindowControl hWindowControl1, string ImagePath)
{
HObject ho_Image;
OpenFileDialog openFileDialog1 = new OpenFileDialog();
HTuple hv_Width = null, hv_Height = null, hv_WindowHandle = null;
if (HDevWindowStack.IsOpen())
{
HOperatorSet.ClearWindow(HDevWindowStack.GetActive());
}
HOperatorSet.GenEmptyObj(out ho_Image);
// ho_Image.Dispose();
//DisposeAllObj();
initaVariables();
//对话框设置
// string ImagePath;
// openFileDialog1.Filter = "JPEG文件|*.jpg|BMP文件|*.bmp|png文件|*.png";
// if (openFileDialog1.ShowDialog() == DialogResult.OK)
// {
//将打开的文件名赋给ImagePath字符串变量
// ImagePath = openFileDialog1.FileName;
HOperatorSet.ReadImage(out ho_Image, ImagePath);
// }
//打开窗口，将显示图片控件的句柄赋给窗口句柄，使窗口在控件中打开，并设置窗口宽高为显示图片控件的宽高
HOperatorSet.OpenWindow(0, 0, hWindowControl1.Width, hWindowControl1.Height, hWindowControl1.HalconWindow, "", "", out hv_WindowHandle);
//HDevWindowStack.Push(hv_WindowHandle);
//if (HDevWindowStack.IsOpen())
{
HOperatorSet.DispObj(ho_Image, hv_WindowHandle);// HDevWindowStack.GetActive());
}
ho_Image.Dispose();
hWindowControl1.Invalidate();
hWindowControl1.Refresh();
hWindowControl1.Update();
}
/// <summary>
/// Triggers a repaint of the HALCON window
/// </summary>
public void repaint()
{
repaint(viewPort.HalconWindow);
viewPort.Refresh();
}
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();
}