OpenCV边缘检测

最新推荐文章于 2025-06-21 01:04:26 发布

Augusdi

最新推荐文章于 2025-06-21 01:04:26 发布

阅读量3.9k

点赞数

CC 4.0 BY-SA版权

分类专栏： OpenCV

本文链接：https://blog.youkuaiyun.com/Augusdi/article/details/8892645

OpenCV 专栏收录该内容

222 篇文章

订阅专栏

本文介绍了使用OpenCV库进行图像边缘检测的方法，包括Canny、Sobel和Laplacian等算法的应用。通过实例展示了如何从原始图像中提取边缘特征，并以彩色图像为例进行了详细的步骤说明。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

void OnCanny() 
{
	// TODO: Add your command handler code here
	IplImage* img = cvCreateImage(cvGetSize(GetDocument()->Image),IPL_DEPTH_32F, 0);
	
	IplImage* image1 = cvCloneImage(GetDocument()->Image);  
	IplImage* image2 = cvCreateImage(cvGetSize(image1),
					  IPL_DEPTH_8U,
					  1);
	IplImage* pCannyImg = cvCreateImage(cvGetSize(image1),
					  IPL_DEPTH_8U,
					  1);
	//  convert the inoput image to gray image 
	cvCvtColor(image1, image2, CV_BGR2GRAY);
	//cvSaveImage("gray.bmp", image2);	  	
	
	cvCanny(image2, pCannyImg, 5, 150, 3);
	global_image = cvCloneImage(pCannyImg);

	cvNamedWindow("Cannyedge", CV_WINDOW_AUTOSIZE);
	cvShowImage("Cannyedge", pCannyImg);	 

}

void OnLaplace() 
{
	// TODO: Add your command handler code here
	IplImage* img = cvCreateImage(cvGetSize(GetDocument()->Image),IPL_DEPTH_32F,3);
	cvLaplace(GetDocument()->Image, img,3);
	global_image = cvCloneImage(img);

	cvNamedWindow("src1",CV_WINDOW_AUTOSIZE);
	cvShowImage("src1",img);
}
OnSobel() 
{
	// TODO: Add your command handler code here
	IplImage* img = cvCreateImage(cvGetSize(GetDocument()->Image),IPL_DEPTH_32F,3);
	cvSobel(GetDocument()->Image,img,2,2,3);   	
	global_image = cvCloneImage(img);

	cvNamedWindow("src1",CV_WINDOW_AUTOSIZE);
	cvShowImage("src1",img);
	
}

void OnCannyColor()

{
	// TODO: Add your command handler code here
	IplImage* img = cvCreateImage(cvGetSize(GetDocument()->Image),IPL_DEPTH_32F, 0);
	
	IplImage* image1 = cvCloneImage(GetDocument()->Image);  
	int channels  = image1->nChannels;  
	
	IplImage *RedImg,*GreenImg,*BlueImg;
	IplImage *RedCanny,*GreenCanny,*BlueCanny;
	IplImage* image2 = cvCreateImage(cvGetSize(image1),
					  IPL_DEPTH_8U,
					  3);
	
	RedImg=cvCreateImage(cvGetSize(image1),IPL_DEPTH_8U,1);
	GreenImg=cvCreateImage(cvGetSize(image1),IPL_DEPTH_8U,1);
	BlueImg=cvCreateImage(cvGetSize(image1),IPL_DEPTH_8U,1);

	RedCanny=cvCreateImage(cvGetSize(image1),IPL_DEPTH_8U,1);
	GreenCanny=cvCreateImage(cvGetSize(image1),IPL_DEPTH_8U,1);
	BlueCanny=cvCreateImage(cvGetSize(image1),IPL_DEPTH_8U,1);
 	
	cvSplit(image1, BlueImg, GreenImg, RedImg, 0);	 // 图层分离
		
	cvCanny(BlueImg, BlueCanny, 5, 150, 3);
	cvCanny(GreenImg, GreenCanny, 5, 150, 3);
	cvCanny(RedImg, RedCanny, 5, 150, 3);

	cvMerge(BlueCanny, GreenCanny, RedCanny, 0, image2);	   
	 	
	cvNamedWindow("Cannyedge", CV_WINDOW_AUTOSIZE);
	cvShowImage("Cannyedge", image2);
	global_image = cvCloneImage(image2);

	cvReleaseImage(&BlueImg);
	cvReleaseImage(&GreenImg);	
	cvReleaseImage(&RedImg);
	cvReleaseImage(&BlueCanny);
	cvReleaseImage(&GreenCanny);
	cvReleaseImage(&RedCanny);	
	cvReleaseImage(&image1);
	//cvReleaseImage(&image2);	 
}
void OnCannyDyn() 
{
	// TODO: Add your command handler code here
	IplImage* img = cvCreateImage(cvGetSize(GetDocument()->Image),IPL_DEPTH_32F, 0);
	
	IplImage* image1 = cvCloneImage(GetDocument()->Image);  
	global_image1 = cvCloneImage(image1);  

	//////////////////////////////////////////
	// Create the output image
    cedge = cvCreateImage(cvGetSize(image1), IPL_DEPTH_8U, 3);

    // 将彩色图像转换为灰度图像
    gray = cvCreateImage(cvGetSize(image1), IPL_DEPTH_8U, 1);
    edge = cvCreateImage(cvGetSize(image1), IPL_DEPTH_8U, 1);
    cvCvtColor(image1, gray, CV_BGR2GRAY);

    // Create a window
    cvNamedWindow(wndname, 1);

    // create a toolbar 
    cvCreateTrackbar(tbarname, wndname, &edge_thresh, 128, on_trackbar);

    // Show the image
    on_trackbar(0);
	
    // Wait for a key stroke; the same function arranges events processing
    cvWaitKey(0);
    cvReleaseImage(&image1);
    cvReleaseImage(&gray);
    cvReleaseImage(&edge);
	cvReleaseImage(&global_image);	 
    cvDestroyWindow(wndname);
	///////////////////////////////////////////////////////////////	
}