canny边沿检测2

#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 );//掩码到彩色图像上，没这句话就是灰度图像
// 显示图像
cvShowImage(wndname, cedge);
}

int main( int argc, char** argv )
{

image = cvLoadImage("f:\\vc\\cv\\adc.jpg", 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); //需要手动触发

// 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;
}