2012-03-27 20:00:22 +08:00
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#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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2012-06-15 21:04:17 +08:00
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static void help()
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2012-03-27 20:00:22 +08:00
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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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2015-04-25 01:07:57 +08:00
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"./houghcircles <image_name>, Default is board.jpg\n" << endl;
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2012-03-27 20:00:22 +08:00
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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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2013-10-30 20:34:27 +08:00
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cvtColor(img, cimg, COLOR_GRAY2BGR);
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2012-06-15 21:04:17 +08:00
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2012-03-27 20:00:22 +08:00
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vector<Vec3f> circles;
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HoughCircles(img, circles, CV_HOUGH_GRADIENT, 1, 10,
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2012-06-15 21:04:17 +08:00
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100, 30, 1, 30 // change the last two parameters
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2012-03-27 20:00:22 +08:00
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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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