opencv+vc6.0编写的图像圆检测程序

// // example 6-1 Hough circles // /* *************** License:************************** Oct. 3, 2008 Right to use this code in any way you want without warrenty, support or any guarentee of it working. BOOK: It would be nice if you cited it: Learning OpenCV: Computer Vision with the OpenCV Library by Gary Bradski and Adrian Kaehler Published by O'Reilly Media, October 3, 2008 AVAILABLE AT: http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134 Or: http://oreilly.com/catalog/9780596516130/ ISBN-10: 0596516134 or: ISBN-13: 978-0596516130 OTHER OPENCV SITES: * The source code is on sourceforge at: http://sourceforge.net/projects/opencvlibrary/ * The OpenCV wiki page (As of Oct 1, 2008 this is down for changing over servers, but should come back): http://opencvlibrary.sourceforge.net/ * An active user group is at: http://tech.groups.yahoo.com/group/OpenCV/ * The minutes of weekly OpenCV development meetings are at: http://pr.willowgarage.com/wiki/OpenCV ************************************************** */ // /* You'll have to tune to detect the circles you expect vSeq* cvHoughCircles( CvArr* image, //Da image void* storage, //Storage for sequences int method, //Always CV_HOUGH_GRADIENT until you, reader, invent a better method double dp, //Hough space shrinkage. a bit larger is faster, might detect better, double min_dist, //Damps out multiple detection in the same area double param1=100, //High Canny threshold (edge thresh), low is half (link finding). See Canny double param2=100, //Threshold where we declare detection in Canny space int min_radius=0, //Smallest circle to find int max_radius=0 //Largest circle to find ); */ #include <cv.h> #include <highgui.h> #include <math.h> void main(int argc, char** argv) { IplImage* image = cvLoadImage( "2.bmp", CV_LOAD_IMAGE_GRAYSCALE ); // IplImage* src = cvLoadImage( "1.bmp" ); //Changed for prettier show in color // IplImage* src=cvCloneImage(image);//复制 IplImage* motion = cvCreateImage( cvSize(image->width,image->height), 8, 1 ); //创建motion帧，八位，一通道 cvZero( motion ); //零填充motion motion->origin = image->origin; //内存存储的顺序和取出的帧相同 CvMemStorage* storage = cvCreateMemStorage(0); cvSmooth(image, image, CV_GAUSSIAN, 5, 5 ); CvSeq* results = cvHoughCircles( image, storage, CV_HOUGH_GRADIENT, 2, image->width/4 ); //cvNamedWindow( "cvHoughCircle", 1 ); for( int i = 0; i < results->total; i++ ) { cvNamedWindow( "cvHoughCircles", 1 ); float* p = (float*) cvGetSeqElem( results, i ); CvPoint pt = cvPoint( cvRound( p[0] ), cvRound( p[1] ) ); cvCircle( image, pt, cvRound( p[2] ), CV_RGB(255,255,255) , 1, 8, 0 ); cvWaitKey(100); cvShowImage( "cvHoughCircles", image); cvZero( motion ); } // cvNamedWindow( "cvHoughCircles", 1 ); //cvShowImage( "cvHoughCircles", image); cvWaitKey(0); }