opencv/samples/cpp/tutorial_code/snippets/imgproc_HoughLinesCircles.cpp

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2018-06-01 22:42:00 +08:00
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <math.h>
using namespace cv;
using namespace std;
int main(int argc, char** argv)
{
Mat img, gray;
if( argc != 2 || !(img=imread(argv[1], IMREAD_COLOR)).data)
2018-06-01 22:42:00 +08:00
return -1;
cvtColor(img, gray, COLOR_BGR2GRAY);
// smooth it, otherwise a lot of false circles may be detected
GaussianBlur( gray, gray, Size(9, 9), 2, 2 );
vector<Vec3f> circles;
HoughCircles(gray, circles, HOUGH_GRADIENT,
2, gray.rows/4, 200, 100 );
for( size_t i = 0; i < circles.size(); i++ )
{
Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));
int radius = cvRound(circles[i][2]);
// draw the circle center
circle( img, center, 3, Scalar(0,255,0), -1, 8, 0 );
// draw the circle outline
circle( img, center, radius, Scalar(0,0,255), 3, 8, 0 );
}
namedWindow( "circles", 1 );
imshow( "circles", img );
waitKey(0);
return 0;
}