#include <iostream>#include <string>#include <sstream>#include <opencv/cv.h>#include <opencv/highgui.h>using namespace std;int String2int(const string& str_){    int _nre = 0;    stringstream _ss;    _ss << str_;    _ss >> _nre;    return _nre;}void DoCanny(const string& strFileName_){    //原彩色图片    IplImage* _pIplImageIn = cvLoadImage(strFileName_.data());    if (_pIplImageIn == NULL)    {        return;    }    //彩色图片转换成灰度图放置的图片    IplImage* _pIplImageCanny = cvCreateImage(cvGetSize(_pIplImageIn), _pIplImageIn->depth, 1);    cvCvtColor(_pIplImageIn, _pIplImageCanny, CV_RGB2GRAY);//CV_RGB2GRAY将rgb图转成灰度图    //只有边缘路径的图片    IplImage* _pIplImageOut = cvCreateImage(cvGetSize(_pIplImageIn), IPL_DEPTH_8U, 1);    //边缘检测只能作用于灰度图    if (_pIplImageCanny->nChannels != 1)    {        return;    }    //边缘检测操作    cvCanny(_pIplImageCanny, _pIplImageOut, 50, 200, 3);    cvNamedWindow("Src",0);    cvShowImage("Src", _pIplImageIn);    cvNamedWindow("Canny",0);    cvShowImage("Canny", _pIplImageOut);    cvWaitKey(0);    cvReleaseImage(&_pIplImageIn);    cvReleaseImage(&_pIplImageCanny);    cvReleaseImage(&_pIplImageOut);    cvDestroyWindow("Src");    cvDestroyWindow("Canny");}int main(int argc, char* argv[]){    if (argc < 2)    {        cout << "You should give the filename of picture!" << endl;        return -1;    }    DoCanny(argv[1]);    return 0;}