用opencv实现canny边缘检测

#include "cv.h" #include "highgui.h" char wndname[] = "Edge"; char tbarname[] = "Threshold"; int edge_thresh = 1; IplImage *image = 0, *cedge = 0, *gray = 0, *edge = 0; // 定义跟踪条的 callback 函数 void on_trackbar(int h) { cvSmooth( gray, edge, CV_BLUR, 3, 3, 0 ); cvNot( gray, edge ); // 对灰度图像进行边缘检测 cvCanny(gray, edge, (float)edge_thresh, (float)edge_thresh*3, 3); cvZero( cedge ); // copy edge points cvCopy( image, cedge, edge ); // 显示图像 cvShowImage(wndname, cedge); } int main( int argc, char** argv ) { char* filename = argc == 2 ? argv[1] : (char*)"fruits.jpg"; if( (image = cvLoadImage( filename, 1)) == 0 ) return -1; // Create the output image cedge = cvCreateImage(cvSize(image->width,image->height), IPL_DEPTH_8U, 3); // 将彩色图像转换为灰度图像 gray = cvCreateImage(cvSize(image->width,image->height), IPL_DEPTH_8U, 1); edge = cvCreateImage(cvSize(image->width,image->height), IPL_DEPTH_8U, 1); cvCvtColor(image, gray, CV_BGR2GRAY); // Create a window cvNamedWindow(wndname, 1); // create a toolbar cvCreateTrackbar(tbarname, wndname, &edge_thresh, 100, on_trackbar); // Show the image on_trackbar(0); // Wait for a key stroke; the same function arranges events processing cvWaitKey(0); cvReleaseImage(&image); cvReleaseImage(&gray); cvReleaseImage(&edge); cvDestroyWindow(wndname); return 0; }