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   源码介绍

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边缘检测多尺度opencv

#include <iostream>  
#include <sstream>  
#include "cv.h"  
#include "cxcore.h"  
#include "highgui.h"  
using namespace std;

#define SCALESIZE 20  
int main(int argc, char* argv[])
{
IplImage* src;
//src = cvLoadImage("C:\\Users\\Administrator\\Desktop\\测试\\12074.jpg", 0);
src = cvLoadImage("C:\\Users\\Administrator\\Desktop\\马.bmp", 0);
int winSize[SCALESIZE], i;
IplImage* scaleImage[SCALESIZE];
IplImage* edgeImage[SCALESIZE];
char filename[256];
char filename2[256];
winSize[0] = 3;
scaleImage[0] = cvCreateImage(cvGetSize(src), 8, 1);
edgeImage[0] = cvCreateImage(cvGetSize(src), 8, 1);
for (i = 1; i<SCALESIZE; i )
{
winSize[i] = winSize[i - 1] 2;
scaleImage[i] = cvCreateImage(cvGetSize(src), 8, 1);
edgeImage[i] = cvCreateImage(cvGetSize(src), 8, 1);
}
for (i = 0; i<SCALESIZE; i )
{
cvSmooth(src, scaleImage[i], CV_GAUSSIAN, winSize[i], winSize[i]);

cvCanny(scaleImage[i], edgeImage[i], 30, 90, 3);
}
//保存图像  
for (i = 0; i<SCALESIZE; i )
{
string s1 = "scale_";
string jpg = ".jpg";
stringstream ss;
ss << s1;
ss << i;
ss << jpg;
ss >> filename;
//sprintf(filename,"scale_%d.jpg",i);  
cvSaveImage(filename, scaleImage[i]);
ss.clear();
string s2 = "edge_";
ss << s2;
ss << i;
ss << jpg;
ss >> filename2;
cvSaveImage(filename2, edgeImage[i]);
}

for (i = 0; i<SCALESIZE; i )
{
cvReleaseImage(&scaleImage[i]);
cvReleaseImage(&edgeImage[i]);
}
cvReleaseImage(&src);
return 0;
}