MFC联合halcon

图像采集

void Ctest4Dlg::CreateImageWindow()
{
	CRect rect;  //设置一块区域
	HTuple hv_Exception;  
	GetDlgItem(IDC_PIC)->GetClientRect(&rect);    //获取显示控件的指针
	HWND hrect = GetDlgItem(IDC_PIC)->m_hWnd;     //获取控件的句柄
	HTuple Row = (HTuple)rect.top;    //获取区域顶端的行坐标
	HTuple Column = (HTuple)rect.left;  //获取区域左边的列坐标
	HTuple Width = (HTuple)rect.Width();  //获取区域的宽度信息
	HTuple Height = (HTuple)rect.Height();  //获取区域的高度信息

	try
	{
		SetWindowAttr("background_color", "black");   //设置背景颜色为黑色
		OpenWindow(Row, Column, Width, Height, (Hlong)hrect, "visiable", "", &WindowHandle);
		//按区域大小打开一个窗口
	}
	catch (HalconCpp::HException &HDecExpDefauleException)
	{
		HDecExpDefauleException.ToHTuple(&hv_Exception);
		throw HalconCpp::HException(hv_Exception);    //捕捉错误
	}

	
	

}

void Ctest4Dlg::OnPlayVideo()
{
	AfxBeginThread(StratCameraTest, this, THREAD_PRIORITY_NORMAL, 0, 0, NULL);   //开启一个线程
}

UINT Ctest4Dlg::StartCameraTest(LPVOID pParam)
{
	Ctest4Dlg *pDlg = (Ctest4Dlg*)pParam;
	
	OpenFramegrabber();  //打开相机函数
	GrabImageStart(hv_AcqHandle, -1); //获得相机句柄
	pDlg->StartImageState = true;
	while (pDlg->StartCameraTest)
	{

		GrabImageAsync(&pDlg->ho_Image, hv_AcqHandle, -1);//调用相机采集函数
		HTuple hv_AcqHandle;
		//获得图像大小
		HTuple hv_Width, hv_Height;
		getImageSize(pDlg->ho_Image, &hv_Width, &hv_Height);
		//通过改变图像的缩放来适应图像在区域正常显示
		SetPart(pDlg->WindowHandle，ho_Image, 0, 0, hv_Height, hv_Width);
		//在窗口上显示图像
		DispObj(pDlg->ho_Image, pDlg->WindowHandle);
	}
	CloseFramegrabber(hv_AcqHandle);  //关闭相机
	AfxEndThread(0);  //结束线程
	return 0;

}

将打开相机的程序写入到主程序的初始化程序中













灰色图转换为vc变量






图像显示：

步骤

准备：

在主程序的.h和.cpp文件中添加以下代码：

#include "HalconCpp.h"
using namespace HalconCpp;

并在主程序的文件夹中 添加以下dll文件：

1.创建界面，添加图像采集和图像处理按钮，并添加picture_control控件，修改图片控件ID为IDC_PIC_STATIC。
2.用vs打开halcon程序，选择action函数，将action中的声明添加到主程序的.h文件中：

public:
	afx_msg void OnBnClickedButton1();
	HObject  ho_Image, ho_ImageInverted, ho_ImageBandpass;
	HObject  ho_ImageFFT, ho_ImageConvol, ho_Lines, ho_Region;
	HObject  ho_ConnectedRegions, ho_SelectedRegions, ho_RegionDilation;
	HObject  ho_Skeleton, ho_Errors, ho_RegionUnion, ho_ImageReduced;
	HObject  ho_LinesXLD, ho_UnionContours, ho_SelectedXLD, ho_RegionXLD;
	HObject  ho_RegionScratches;
	// Local control variables
	HTuple  hv_Width, hv_Height, hv_WindowHandle;
	afx_msg void OnBnClickedButton2();
};

3.双击图片采集按钮，添加按钮点击事件，并添加以下代码，更改图像控件ID为IDC_PIC_STATIC：、

void CCircleColuDlg::OnBnClickedButton1()
{
	// TODO: 在此添加控件通知处理程序代码
	/*dev_update_off();
	if (HDevWindowStack::IsOpen())
		CloseWindow(HDevWindowStack::Pop());*/
	//读取图像
	ReadImage(&ho_Image, "C:/Users/Administrator/Desktop/Image_20190717102710902.bmp");
	InvertImage(ho_Image, &ho_ImageInverted);
	GetImageSize(ho_Image, &hv_Width, &hv_Height);
	//SetWindowAttr("background_color", "black");
	//OpenWindow(0, 0, hv_Width, hv_Height, 0, "visible", "", &hv_WindowHandle);
	/*HDevWindowStack::Push(hv_WindowHandle);
	set_display_font(hv_WindowHandle, 16, "mono", "true", "false");
	if (HDevWindowStack::IsOpen())
		DispObj(ho_Image, HDevWindowStack::GetActive());*/
	CRect rtWindow;
	HWND hImgWnd = GetDlgItem(IDC_PIC_STATIC)->m_hWnd;
	GetDlgItem(IDC_PIC_STATIC)->GetClientRect(&rtWindow);
	HTuple m_htWindow;
	OpenWindow(rtWindow.left, rtWindow.top, rtWindow.Width(), rtWindow.Height(), (Hlong)hImgWnd, "visible", "", &m_htWindow);
	SetPart(m_htWindow, 0, 0, hv_Height, hv_Width );// 
	DispObj(ho_Image, m_htWindow);
	
}

4.双击图像处理按钮，添加点击事件，在最后原图要先显示，缺陷标出来的图像跟在原图后面显示：

void CCircleColuDlg::OnBnClickedButton2()
{
	// TODO: 在此添加控件通知处理程序代码


	GenSinBandpass(&ho_ImageBandpass, 0.4, "none", "rft", hv_Width, hv_Height);
	//快速傅里叶变换
	RftGeneric(ho_ImageInverted, &ho_ImageFFT, "to_freq", "none", "complex", hv_Width);
	//图像卷积
	ConvolFft(ho_ImageFFT, ho_ImageBandpass, &ho_ImageConvol);
	//快速傅里叶变换，转换图像到空间域及byte类型
	RftGeneric(ho_ImageConvol, &ho_Lines, "from_freq", "n", "byte", hv_Width);
	//
	//通过形态学实现划伤分割
	Threshold(ho_Lines, &ho_Region, 5, 255);
	Connection(ho_Region, &ho_ConnectedRegions);
	//select_shape (ConnectedRegions, SelectedRegions, 'area', 'and', 5, 5000)
	SelectShape(ho_ConnectedRegions, &ho_SelectedRegions, (HTuple("area").Append("column")),
		"and", (HTuple(142.31).Append(592.98)), (HTuple(22438.3).Append(2718.22)));
	DilationCircle(ho_SelectedRegions, &ho_RegionDilation, 7);
	//对膨胀后的区域进行求骨架
	Skeleton(ho_RegionDilation, &ho_Skeleton);
	//对获取的骨架区域进行连通处理
	Connection(ho_Skeleton, &ho_Errors);
	Union1(ho_RegionDilation, &ho_RegionUnion);
	//缩小图像域
	ReduceDomain(ho_Image, ho_RegionUnion, &ho_ImageReduced);
	//检测线条及宽度
	LinesGauss(ho_ImageReduced, &ho_LinesXLD, 0.8, 3, 10, "dark", "false", "bar-shaped",
		"false");
	//把在一条线上的轮廓连起来
	UnionCollinearContoursXld(ho_LinesXLD, &ho_UnionContours, 40, 3, 3, 0.2, "attr_keep");
	//根据形状特征筛选线条轮廓，轮廓总长度在15-1000之间的
	SelectShapeXld(ho_UnionContours, &ho_SelectedXLD, "area", "and", 10, 99999);
	//select_shape_xld (UnionContours, SelectedXLD, 'contlength', 'and', 15, 1000)
	GenRegionContourXld(ho_SelectedXLD, &ho_RegionXLD, "filled");
	Union1(ho_RegionXLD, &ho_RegionUnion);
	//膨胀，把有划痕的区域圈出来
	
	DilationCircle(ho_RegionUnion, &ho_RegionScratches, 8);
	
	//
	//Display the results
	if (HDevWindowStack::IsOpen())
		SetDraw(HDevWindowStack::GetActive(), "margin");
	if (HDevWindowStack::IsOpen())
		SetLineWidth(HDevWindowStack::GetActive(), 3);
	if (HDevWindowStack::IsOpen())
		SetColored(HDevWindowStack::GetActive(), 12);
	if (HDevWindowStack::IsOpen())
		DispObj(ho_Image, HDevWindowStack::GetActive());
	if (HDevWindowStack::IsOpen())
		DispObj(ho_RegionScratches, HDevWindowStack::GetActive());
	if (HDevWindowStack::IsOpen())
		SetColor(HDevWindowStack::GetActive(), "red");
	CRect rtWindow;
	HWND hImgWnd = GetDlgItem(IDC_PIC_STATIC)->m_hWnd;
	GetDlgItem(IDC_PIC_STATIC)->GetClientRect(&rtWindow);
	HTuple m_htWindow;
	OpenWindow(rtWindow.left, rtWindow.top, rtWindow.Width(), rtWindow.Height(), (Hlong)hImgWnd, "visible", "", &m_htWindow);
	SetPart(m_htWindow, 0, 0, hv_Height, hv_Width);// 
	DispObj(ho_Image, m_htWindow);
	DispObj(ho_RegionScratches, m_htWindow);	
}