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Open Source Computer Vision Library
https://opencv.org/
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62 lines
1.8 KiB
62 lines
1.8 KiB
#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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