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Usage of imread(): magic number 0, unchecked result * docs: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread() * samples, apps: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread() * tests: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread() * doc/py_tutorials: check imread() result
34 lines
1010 B
C++
34 lines
1010 B
C++
#include <opencv2/imgproc.hpp>
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#include <opencv2/highgui.hpp>
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#include <math.h>
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using namespace cv;
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using namespace std;
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int main(int argc, char** argv)
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{
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Mat img, gray;
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if( argc != 2 || !(img=imread(argv[1], IMREAD_COLOR)).data)
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return -1;
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cvtColor(img, gray, COLOR_BGR2GRAY);
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// smooth it, otherwise a lot of false circles may be detected
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GaussianBlur( gray, gray, Size(9, 9), 2, 2 );
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vector<Vec3f> circles;
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HoughCircles(gray, circles, HOUGH_GRADIENT,
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2, gray.rows/4, 200, 100 );
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for( size_t i = 0; i < circles.size(); i++ )
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{
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Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));
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int radius = cvRound(circles[i][2]);
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// draw the circle center
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circle( img, center, 3, Scalar(0,255,0), -1, 8, 0 );
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// draw the circle outline
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circle( img, center, radius, Scalar(0,0,255), 3, 8, 0 );
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}
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namedWindow( "circles", 1 );
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imshow( "circles", img );
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waitKey(0);
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return 0;
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}
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