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Open Source Computer Vision Library
https://opencv.org/
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60 lines
1.8 KiB
60 lines
1.8 KiB
15 years ago
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#!/usr/bin/python
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# This is a standalone program. Pass an image name as a first parameter of the program.
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import sys
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from math import sin,cos,sqrt
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from opencv.cv import *
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from opencv.highgui import *
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# toggle between CV_HOUGH_STANDARD and CV_HOUGH_PROBILISTIC
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USE_STANDARD=0
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if __name__ == "__main__":
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filename = "../../docs/ref/pics/building.jpg"
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if len(sys.argv)>1:
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filename = sys.argv[1]
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src=cvLoadImage(filename, 0);
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if not src:
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print "Error opening image %s" % filename
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sys.exit(-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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storage = cvCreateMemStorage(0);
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lines = 0;
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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 USE_STANDARD:
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lines = cvHoughLines2( dst, storage, CV_HOUGH_STANDARD, 1, CV_PI/180, 100, 0, 0 );
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for i in range(min(lines.total, 100)):
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line = lines[i]
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rho = line[0];
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theta = line[1];
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pt1 = CvPoint();
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pt2 = CvPoint();
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a = cos(theta);
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b = sin(theta);
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x0 = a*rho
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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, 8 );
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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 line in lines:
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cvLine( color_dst, line[0], line[1], CV_RGB(255,0,0), 3, 8 );
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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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