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Open Source Computer Vision Library
https://opencv.org/
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48 lines
1.2 KiB
48 lines
1.2 KiB
#include "opencv2/highgui/highgui.hpp" |
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#include "opencv2/imgproc/imgproc.hpp" |
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#include <iostream> |
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using namespace cv; |
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using namespace std; |
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static void help() |
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{ |
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cout << "\nThis program demonstrates circle finding with the Hough transform.\n" |
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"Usage:\n" |
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"./houghcircles <image_name>, Default is pic1.png\n" << endl; |
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} |
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int main(int argc, char** argv) |
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{ |
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const char* filename = argc >= 2 ? argv[1] : "board.jpg"; |
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Mat img = imread(filename, 0); |
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if(img.empty()) |
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{ |
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help(); |
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cout << "can not open " << filename << endl; |
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return -1; |
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} |
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Mat cimg; |
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medianBlur(img, img, 5); |
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cvtColor(img, cimg, CV_GRAY2BGR); |
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vector<Vec3f> circles; |
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HoughCircles(img, circles, CV_HOUGH_GRADIENT, 1, 10, |
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100, 30, 1, 30 // change the last two parameters |
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// (min_radius & max_radius) to detect larger circles |
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); |
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for( size_t i = 0; i < circles.size(); i++ ) |
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{ |
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Vec3i c = circles[i]; |
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circle( cimg, Point(c[0], c[1]), c[2], Scalar(0,0,255), 3, CV_AA); |
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circle( cimg, Point(c[0], c[1]), 2, Scalar(0,255,0), 3, CV_AA); |
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} |
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imshow("detected circles", cimg); |
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waitKey(); |
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return 0; |
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}
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