OpenCV中cvHoughLines2和cvHoughCircles使用范例

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                cvHoughLines2和cvHoughCircles使用范例。有图，有程序。

cvHoughLines2需要的是Binary image。 cvHoughCircles 需要的是灰度图，而且它会自动调用cvSobel函数。

关于cvHoughCircles多说一句，之前最好用cvSmooth一下，否则会有很多错误的圆被识别出来。

cvHoughLines2

orginal

lines.jpg (99.05 KiB) 被浏览 4777 次

cvHoughCircles 

cccc1.jpg (12.69 KiB) 被浏览 4777 次

（VS2008+open1.1,注意图片路径）

#include "stdafx.h"#include <iostream>#include <cv.h>#include <cxcore.h>#include <highgui.h>#include <math.h>using namespace std;/*coded and updated by Huang, Haiqiao 2010-01-13Examples of using cvHoughLines2 and cvHoughCircles*/int main(int argc, char** argv){   int i;   cout << "Lines and Circles OpenCV!"<<endl;  //\\cameraman.jpg   char* filename="D:\\OpenCV_stuff\\SampleImages\\pattern512.bmp";   IplImage* imgRGB = cvLoadImage(filename);    IplImage* imgGrey = cvLoadImage(filename,0); //grey image   char* filename1="D:\\OpenCV_stuff\\SampleImages\\circle3.jpg";   IplImage* imgcircle = cvLoadImage(filename1,1); //color image   if (imgGrey==NULL){      cout << "No valid image input."<<endl;       char c=getchar();      return 1;   }       IplImage* cannyImg  = cvCreateImage(cvSize(imgGrey->width,imgGrey->height),IPL_DEPTH_8U,1);   cvCanny(imgGrey,cannyImg,170,200,3);   //************hough lines**probabilistic********//   CvMemStorage* storage = cvCreateMemStorage(0);        CvSeq* lines = 0;    double rho=1;   double theta=CV_PI/180;   double threshold=30;   double min_length=40;//CV_HOUGH_PROBABILISTIC   double sepration_connection=20;//CV_HOUGH_PROBABILISTIC   //binary image is needed.    lines = cvHoughLines2(      cannyImg,       storage,       CV_HOUGH_PROBABILISTIC,       rho,      theta,       threshold,      min_length,       sepration_connection);   //draw lines found by cvHoughLines2    for( i = 0; i < lines->total; i++ )    {       CvPoint* line = (CvPoint*)cvGetSeqElem(lines,i);       cvLine(imgRGB, line[0], line[1], CV_RGB(255,0,0),1, 8 );//cannyImgColor    }       /*      Circle identification   */     IplImage* grayimgcircle = cvCreateImage( cvGetSize(imgcircle), 8, 1 );   CvMemStorage* storagecircle = cvCreateMemStorage(0);    cvCvtColor( imgcircle, grayimgcircle, CV_BGR2GRAY );   // smooth it, otherwise a lot of false circles may be detected    cvSmooth( grayimgcircle, grayimgcircle, CV_GAUSSIAN, 9, 9 );        double dp=2;   double min_dist=10;   int min_radius=5;   int max_radius=150;    //only greyimage is needed. cvHoughCircles would call cvSobel() internally.   CvSeq* circles = cvHoughCircles(          grayimgcircle,          storagecircle,          CV_HOUGH_GRADIENT,          dp,          min_dist,          min_radius,          max_radius );    //draw found curves    for( i = 0; i < circles->total; i++ )    {         float* p = (float*)cvGetSeqElem( circles, i );         cvCircle( imgcircle, cvPoint(cvRound(p[0]),cvRound(p[1])), cvRound(p[2]), CV_RGB(255,0,0), 3, 8, 0 );    }       cvNamedWindow( "Circles", CV_WINDOW_AUTOSIZE );    cvShowImage( "Circles", imgcircle );   cvNamedWindow("Original", CV_WINDOW_AUTOSIZE );   cvShowImage( "Original", imgRGB );   cvWaitKey(0);   cvDestroyWindow("HoughLines");   cvReleaseImage(&imgGrey);   cvDestroyWindow("Original");   cvReleaseImage(&imgcircle);   cvDestroyWindow("Circles");      //char c=getchar();   return 0;}

           

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