opencv/samples/octave/houghlines.m

63 lines
1.5 KiB
Matlab

#! /usr/bin/env octave
## This is a standalone program. Pass an image name as a first parameter of the program.
cv;
highgui;
## toggle between CV_HOUGH_STANDARD and CV_HOUGH_PROBILISTIC
USE_STANDARD=0;
filename = "../../docs/ref/pics/building.jpg"
if (size(argv, 1)>=1)
filename = argv(){1};
endif
src=cvLoadImage(filename, 0);
if (!swig_this(src))
printf("Error opening image %s\n",filename);
exit(-1);
endif
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=0:min(lines.total, 100)-1,
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 );
endfor
else
lines = cvHoughLines2( dst, storage, CV_HOUGH_PROBABILISTIC, 1, CV_PI/180, 50, 50, 10 );
for line = CvSeq_map(lines),
line = line{1};
cvLine( color_dst, line{0}, line{1}, CV_RGB(255,0,0), 3, 8 );
endfor
endif
cvNamedWindow( "Source", 1 );
cvShowImage( "Source", src );
cvNamedWindow( "Hough", 1 );
cvShowImage( "Hough", color_dst );
cvWaitKey(0);