Open Source Computer Vision Library https://opencv.org/
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#!/usr/bin/python
# This is a standalone program. Pass an image name as a first parameter of the program.
import sys
from math import sin,cos,sqrt
from opencv.cv import *
from opencv.highgui import *
# toggle between CV_HOUGH_STANDARD and CV_HOUGH_PROBILISTIC
USE_STANDARD=0
if __name__ == "__main__":
filename = "../../docs/ref/pics/building.jpg"
if len(sys.argv)>1:
filename = sys.argv[1]
src=cvLoadImage(filename, 0);
if not src:
print "Error opening image %s" % filename
sys.exit(-1)
dst = cvCreateImage( cvGetSize(src), 8, 1 );
color_dst = cvCreateImage( cvGetSize(src), 8, 3 );
storage = cvCreateMemStorage(0);
lines = 0;
cvCanny( src, dst, 50, 200, 3 );
cvCvtColor( dst, color_dst, CV_GRAY2BGR );
if USE_STANDARD:
lines = cvHoughLines2( dst, storage, CV_HOUGH_STANDARD, 1, CV_PI/180, 100, 0, 0 );
for i in range(min(lines.total, 100)):
line = lines[i]
rho = line[0];
theta = line[1];
pt1 = CvPoint();
pt2 = CvPoint();
a = cos(theta);
b = sin(theta);
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, 8 );
else:
lines = cvHoughLines2( dst, storage, CV_HOUGH_PROBABILISTIC, 1, CV_PI/180, 50, 50, 10 );
for line in lines:
cvLine( color_dst, line[0], line[1], CV_RGB(255,0,0), 3, 8 );
cvNamedWindow( "Source", 1 );
cvShowImage( "Source", src );
cvNamedWindow( "Hough", 1 );
cvShowImage( "Hough", color_dst );
cvWaitKey(0);