OpenCV学习之Canny算法边缘检测(可调阈值)

////采用Canny算法进行边缘检测
#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;

//定义跟踪条的回调函数
void on_trackbar(int h) {
cvSmooth(gray, edge, CV_BLUR, 3, 3, 0);
cvNot(gray, edge);

//边缘检测
cvCanny(gray, edge, (float)edge_thresh, (float)edge_thresh * 3, 3);

//显示边缘
cvShowImage(wndname, edge);
}

int main(int argc, char** argv) {
image = cvLoadImage("Lena.tiff", 1);
cedge = cvCreateImage(cvSize(image->width, image->height), 8, 3);

//将彩色图像转化为灰度图
gray = cvCreateImage(cvSize(image->width, image->height), 8, 1);
edge = cvCreateImage(cvSize(image->width, image->height), 8, 1);
cvCvtColor(image, gray, CV_BGR2GRAY);

cvNamedWindow(wndname, 1);
cvCreateTrackbar(tbarname, wndname, &edge_thresh, 100, on_trackbar);

//显示图像
on_trackbar(0);

cvWaitKey(0);
cvReleaseImage(&image);
cvReleaseImage(&gray);
cvReleaseImage(&edge);
cvDestroyWindow(wndname);

return 0;
}