opencv 动态调节canny参数边缘检测

最新推荐文章于 2025-11-19 22:24:37 发布

原创最新推荐文章于 2025-11-19 22:24:37 发布 · 2.3k 阅读

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本文介绍如何在OpenCV中动态调整Canny边缘检测参数，以获得最佳的边缘检测效果。通过实例教程，讲解参数选择的技巧，帮助读者深入理解边缘检测并提升实践技能。

void on_trackbar3(int h){ cvCanny( image, cedge, edge_thresh, edge_thresh*3, 3 ); cvShowImage("Adjust Canny Parameter",cedge);}void CCVMFCView::OnCannyAdjThres(){ cedge=cvCreateImage(cvGetSize(workImg),workImg->depth,1); IplImage* color_dst = 0; CvMemStorage* storage = cvCreateMemStorage(0); CvSeq* lines = 0; int i; if (workImg->nChannels==3) {  image = cvCreateImage(cvGetSize(workImg), IPL_DEPTH_8U, 1);  cvCvtColor(workImg, image, CV_BGR2GRAY); } else {  image = cvCloneImage( workImg ); } cvFlip(image); dst = cvCreateImage( cvGetSize(image), 8 ,1 ); color_dst = cvCreateImage( cvGetSize(image), 8, 3 ); cvNamedWindow("Adjust Canny Parameter",CV_WINDOW_AUTOSIZE); //cvShowImage("Adjust Canny Parameter",image); cvCreateTrackbar("canny_thres","Adjust Canny Parameter",&edge_thresh,100,on_trackbar3); on_trackbar3(1);  cvWaitKey(0); cvDestroyWindow("Adjust Canny Parameter"); cvCvtColor( cedge, color_dst, CV_GRAY2BGR ); cvFlip(color_dst); m_dibFlag=imageClone(color_dst,&workImg); m_ImageType=1; Invalidate();}