基于OPENCV的Harris角点检测

#include <stdio.h> #include "iostream.h" #include "cv.h" #include "highgui.h" #define max_corners 2000 int main( int argc, char** argv ) { int cornerCount=max_corners; CvPoint2D32f corners[max_corners]; //double qualityLevel; //double minDistance; IplImage *srcImage = 0, *grayImage = 0, *corners1 = 0, *corners2 = 0; int i; CvScalar color = CV_RGB(255,0,0); //Load the image to be processed //if(!argv[1])//所读图片的路径 如“lena.jpg” //return -1; srcImage = cvLoadImage("验证5555.bmp", 1); assert(srcImage!=NULL); grayImage = cvCreateImage(cvGetSize(srcImage), IPL_DEPTH_8U, 1); //copy the source image to copy image after converting the format cvCvtColor(srcImage, grayImage, CV_BGR2GRAY); //create empty images of same size as the copied images corners1= cvCreateImage(cvGetSize(srcImage), IPL_DEPTH_32F, 1); corners2= cvCreateImage(cvGetSize(srcImage),IPL_DEPTH_32F, 1); cvGoodFeaturesToTrack (grayImage, corners1, corners2, corners, &cornerCount, 0.05, 5, NULL); cvFindCornerSubPix(grayImage,corners,cornerCount,cvSize(5,5),cvSize(1,1),cvTermCriteria(CV_TERMCRIT_EPS,1,0.1)); printf("num corners found: %d\n", cornerCount); // draw circles at each corner location in the gray image and // print out a list the corners if(cornerCount>0) { for (i=0; i<cornerCount; i++) { cvCircle(srcImage, cvPoint((int)(corners[i].x), (int)(corners[i].y)), 6, color, 2, CV_AA, 0); printf("%f,%f\n",corners[i].x, corners[i].y); } } cvNamedWindow( "image", 1 ); // create HighGUI window with name "image" cvShowImage( "image", srcImage ); cvReleaseImage(&srcImage); cvReleaseImage(&grayImage); cvReleaseImage(&corners1); cvReleaseImage(&corners2); cvWaitKey(0); // wait for key. The function has cvDestroyWindow("image"); return 0; }