49 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			49 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| #include "opencv2/highgui/highgui.hpp"
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| #include "opencv2/imgproc/imgproc.hpp"
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| 
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| #include <iostream>
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| 
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| using namespace cv;
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| using namespace std;
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| 
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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 board.jpg\n" << endl;
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| }
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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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| 
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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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| 
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|     Mat cimg;
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|     medianBlur(img, img, 5);
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|     cvtColor(img, cimg, COLOR_GRAY2BGR);
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| 
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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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| 
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|     imshow("detected circles", cimg);
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|     waitKey();
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| 
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|     return 0;
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| }
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