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Open Source Computer Vision Library
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63 lines
1.8 KiB
63 lines
1.8 KiB
15 years ago
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#define CV_NO_BACKWARD_COMPATIBILITY
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/* This is a standalone program. Pass an image name as a first parameter of the program.
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Switch between standard and probabilistic Hough transform by changing "#if 1" to "#if 0" and back */
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#include <cv.h>
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#include <highgui.h>
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#include <math.h>
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int main(int argc, char** argv)
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{
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const char* filename = argc >= 2 ? argv[1] : "pic1.png";
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IplImage* src = cvLoadImage( filename, 0 );
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IplImage* dst;
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IplImage* color_dst;
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CvMemStorage* storage = cvCreateMemStorage(0);
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CvSeq* lines = 0;
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int i;
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if( !src )
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return -1;
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dst = cvCreateImage( cvGetSize(src), 8, 1 );
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color_dst = cvCreateImage( cvGetSize(src), 8, 3 );
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cvCanny( src, dst, 50, 200, 3 );
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cvCvtColor( dst, color_dst, CV_GRAY2BGR );
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#if 0
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lines = cvHoughLines2( dst, storage, CV_HOUGH_STANDARD, 1, CV_PI/180, 100, 0, 0 );
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for( i = 0; i < MIN(lines->total,100); i++ )
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{
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float* line = (float*)cvGetSeqElem(lines,i);
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float rho = line[0];
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float theta = line[1];
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CvPoint pt1, pt2;
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double a = cos(theta), b = sin(theta);
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double x0 = a*rho, y0 = b*rho;
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pt1.x = cvRound(x0 + 1000*(-b));
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pt1.y = cvRound(y0 + 1000*(a));
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pt2.x = cvRound(x0 - 1000*(-b));
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pt2.y = cvRound(y0 - 1000*(a));
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cvLine( color_dst, pt1, pt2, CV_RGB(255,0,0), 3, CV_AA, 0 );
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}
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#else
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lines = cvHoughLines2( dst, storage, CV_HOUGH_PROBABILISTIC, 1, CV_PI/180, 50, 50, 10 );
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for( i = 0; i < lines->total; i++ )
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{
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CvPoint* line = (CvPoint*)cvGetSeqElem(lines,i);
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cvLine( color_dst, line[0], line[1], CV_RGB(255,0,0), 3, CV_AA, 0 );
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}
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#endif
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cvNamedWindow( "Source", 1 );
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cvShowImage( "Source", src );
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cvNamedWindow( "Hough", 1 );
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cvShowImage( "Hough", color_dst );
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cvWaitKey(0);
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return 0;
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}
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