OpenCV检测直线

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/* This is a standalone program. Pass an image name as a first parameter of the program.   Switch between standard and probabilistic Hough transform by changing "#if 1" to "#if 0" and back */#include <cv.h>#include <highgui.h>#include <math.h>#pragma comment( lib, "cv.lib" )   #pragma comment( lib, "cxcore.lib" )   #pragma comment( lib, "highgui.lib" )   int main(int argc, char** argv){    const char* filename = argc >= 2 ? argv[1] : "wind.png";    IplImage* src = cvLoadImage( filename, 0 );    IplImage* dst;    IplImage* color_dst;    CvMemStorage* storage = cvCreateMemStorage(0);    CvSeq* lines = 0;    int i;    if( !src ){        return -1;}    dst = cvCreateImage( cvGetSize(src), 8, 1 );    color_dst = cvCreateImage( cvGetSize(src), 8, 3 );    cvCanny( src, dst, 50, 200, 3 );    cvCvtColor( dst, color_dst, CV_GRAY2BGR );#if 0    lines = cvHoughLines2(dst, storage, CV_HOUGH_STANDARD, 1, CV_PI/180, 100, 0, 0);    for(i = 0; i < MIN(lines->total,100); i++)    {        float* line = (float*)cvGetSeqElem(lines,i);        float rho = line[0];        float theta = line[1];        CvPoint pt1, pt2;        double a = cos(theta), b = sin(theta);        double x0 = a*rho, y0 = b*rho;        pt1.x = cvRound(x0 + 1000*(-b));        pt1.y = cvRound(y0 + 1000*(a));        pt2.x = cvRound(x0 - 1000*(-b));        pt2.y = cvRound(y0 - 1000*(a));        cvLine(color_dst, pt1, pt2, CV_RGB(255,0,0), 3, CV_AA, 0);    }#else    lines = cvHoughLines2(dst, storage, CV_HOUGH_PROBABILISTIC, 1, CV_PI/180, 50, 50, 10);    for (i = 0; i < lines->total; i++)    {        CvPoint* line = (CvPoint*)cvGetSeqElem(lines, i);        cvLine(color_dst, line[0], line[1], CV_RGB(255, 0, 0), 3, CV_AA, 0);    }#endif    cvNamedWindow( "Source", 1 );    cvShowImage( "Source", src );    cvNamedWindow( "Hough", 1 );    cvShowImage( "Hough", color_dst );    cvWaitKey(0);    return 0;}