// 角点检测 // 根据《基于OpenCV的计算机视觉技术实现》#define max_corners 200; // 限定的最大角点数IplImage* srcImage = 0; // 待处理的源图像IplImage* ImageShow = 0; // 存储显示带角点的图像IplImage* grayImage = 0; // 原始图像转换成的灰阶图像IplImage* corners1 = 0; // 临时图像IplImage* corners2 = 0; // 临时图像int cornerCount0 = max_corners;int cornerCount; // 实际测得角点数int qualityLevel = 0; // 最小质量因子int minDistance = 15; // 角点最小距离CvScalar color = CV_RGB(255,0,0); // 绘图颜色CvPoint2D32f corners[200]; // 角点坐标CvRect ROI_rect; // 测试范围char chek_area_state = 0; // 鼠标状态void re_find_corners(int) // 滑动条响应函数{int i,x,y,xl,yu,xr,yd,k;int radius = 5;int thickness = 1;double quality_level = (double) qualityLevel / 100 + 0.02;double min_distance = (double) minDistance;cornerCount=cornerCount0; // 设置最大角点数cvGoodFeaturesToTrack(grayImage, // 角点检测corners1,corners2,corners,&cornerCount,quality_level,min_distance,NULL);if (cornerCount>0) { // 测到角点xl=ROI_rect.x; yu=ROI_rect.y; // 设置初始测试范围xr=ROI_rect.x+ROI_rect.width;yd=ROI_rect.y+ROI_rect.height;cvCopy(srcImage,ImageShow); // 恢复源图像for (i=0,k=0;i<cornerCount;i++) {x=(int)corners[i].x;y=(int)corners[i].y;if ((xl<x)&&(x<xr)&&(yu<y)&&(y<yd)) { // 范围检查corners[k].x=corners[i].x; // 保存范围内角点corners[k].y=corners[i].y;k++;}}cornerCount=k; // 范围内角点数cvCopy(srcImage,ImageShow);for (i=0;i<cornerCount;i++) {x=(int)corners[i].x;y=(int)corners[i].y;cvCircle(ImageShow,cvPoint(x,y), // 角点处画圈radius,color,thickness,CV_AA,0);}cvRectangle(ImageShow,cvPoint(xl,yu),cvPoint(xr,yd),CV_RGB(0,255,0),thickness,CV_AA,0); // 画矩形cvShowImage("image", ImageShow); // 显示画圈图像}}void on_mouse2(int event,int x,int y,int flags,void* param){ // 鼠标响应函数int thickness = 1;CvPoint point1,point2;if (event == CV_EVENT_LBUTTONDOWN) { // 鼠标左键按下ROI_rect.x = x; // 记录检测窗口一角坐标ROI_rect.y = y;chek_area_state = 1; // 设置状态标志}else if (chek_area_state && event == CV_EVENT_MOUSEMOVE) { // 鼠标移动cvCopy(srcImage,ImageShow); // 恢复原始图像point1 = cvPoint(ROI_rect.x, ROI_rect.y);point2 = cvPoint(x,y); // 当前坐标cvRectangle(ImageShow,point1,point2,CV_RGB(0,255,0),thickness,CV_AA,0); // 画矩形cvShowImage("image", ImageShow); // 显示检测结果cvWaitKey(20); // 延时}else if (chek_area_state && event == CV_EVENT_LBUTTONUP) { // 鼠标左键抬起ROI_rect.width = abs(x - ROI_rect.x); // 记录检测窗口对角坐标ROI_rect.height = abs(y - ROI_rect.y);re_find_corners(0); // 角点检测chek_area_state = 0; // 恢复状态标志cvWaitKey(20); }}void CCVMFCView::OnCornersTest() // 角点检测{if (workImg->nChannels>1) { // 原图为真彩色图像==3srcImage = cvCloneImage(workImg);}else { // 原图为灰阶图像srcImage = cvCreateImage(cvGetSize(workImg),IPL_DEPTH_8U,3);cvCvtColor(workImg,srcImage,CV_GRAY2BGR);}cvFlip(srcImage);grayImage = cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_8U,1);cvCvtColor(srcImage,grayImage,CV_BGR2GRAY); // 转换为灰阶图像ImageShow = cvCloneImage(srcImage);ROI_rect.x =0;ROI_rect.y =0;ROI_rect.width = grayImage->width;ROI_rect.height = grayImage->height;corners1 = cvCreateImage(cvGetSize(grayImage),IPL_DEPTH_32F,1);corners2 = cvCreateImage(cvGetSize(grayImage),IPL_DEPTH_32F,1);cvNamedWindow("image",0); // 设置显示窗口cvResizeWindow("image",325,350); // 改变窗口尺寸cvCreateTrackbar("角点最小距离", "image", // 设置距离滑动条&minDistance, 200,re_find_corners);cvCreateTrackbar("最小质量因子","image", // 设置质量滑动条&qualityLevel,100,re_find_corners);re_find_corners(0); // 角点检测cvSetMouseCallback("image",on_mouse2,0); // 设置鼠标响应函数cvWaitKey(0); // 等待键输入cvDestroyWindow( "image" ); // 关闭窗口cvReleaseImage(&srcImage); // 释放图像存储单元cvReleaseImage(&grayImage);cvReleaseImage(&corners1);cvReleaseImage(&corners2);cvFlip(ImageShow);m_dibFlag=imageReplace(ImageShow,&workImg); // 输出检测结果m_ImageType=-2;Invalidate();}
