95 lines
		
	
	
		
			2.6 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			95 lines
		
	
	
		
			2.6 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| /********************************************************************************
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| *
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| *
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| *  This program is demonstration for ellipse fitting. Program finds
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| *  contours and approximate it by ellipses.
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| *
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| *  Trackbar specify threshold parametr.
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| *
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| *  White lines is contours. Red lines is fitting ellipses.
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| *
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| *
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| *  Autor:  Denis Burenkov.
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| *
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| *
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| *
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| ********************************************************************************/
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| #include "opencv2/imgproc/imgproc.hpp"
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| #include "opencv2/highgui/highgui.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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| 
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| // static void help()
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| // {
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| //     cout <<
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| //             "\nThis program is demonstration for ellipse fitting. The program finds\n"
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| //             "contours and approximate it by ellipses.\n"
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| //             "Call:\n"
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| //             "./fitellipse [image_name -- Default stuff.jpg]\n" << endl;
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| // }
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| 
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| int sliderPos = 70;
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| 
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| Mat image;
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| 
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| void processImage(int, void*);
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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] : (char*)"stuff.jpg";
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|     image = imread(filename, 0);
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|     if( image.empty() )
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|     {
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|         cout << "Couldn't open image " << filename << "\nUsage: fitellipse <image_name>\n";
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|         return 0;
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|     }
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| 
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|     imshow("source", image);
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|     namedWindow("result", 1);
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| 
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|     // Create toolbars. HighGUI use.
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|     createTrackbar( "threshold", "result", &sliderPos, 255, processImage );
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|     processImage(0, 0);
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| 
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|     // Wait for a key stroke; the same function arranges events processing
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|     waitKey();
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|     return 0;
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| }
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| 
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| // Define trackbar callback functon. This function find contours,
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| // draw it and approximate it by ellipses.
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| void processImage(int /*h*/, void*)
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| {
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|     vector<vector<Point> > contours;
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|     Mat bimage = image >= sliderPos;
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| 
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|     findContours(bimage, contours, CV_RETR_LIST, CV_CHAIN_APPROX_NONE);
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| 
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|     Mat cimage = Mat::zeros(bimage.size(), CV_8UC3);
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| 
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|     for(size_t i = 0; i < contours.size(); i++)
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|     {
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|         size_t count = contours[i].size();
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|         if( count < 6 )
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|             continue;
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| 
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|         Mat pointsf;
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|         Mat(contours[i]).convertTo(pointsf, CV_32F);
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|         RotatedRect box = fitEllipse(pointsf);
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| 
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|         if( MAX(box.size.width, box.size.height) > MIN(box.size.width, box.size.height)*30 )
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|             continue;
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|         drawContours(cimage, contours, (int)i, Scalar::all(255), 1, 8);
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| 
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|         ellipse(cimage, box, Scalar(0,0,255), 1, CV_AA);
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|         ellipse(cimage, box.center, box.size*0.5f, box.angle, 0, 360, Scalar(0,255,255), 1, CV_AA);
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|         Point2f vtx[4];
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|         box.points(vtx);
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|         for( int j = 0; j < 4; j++ )
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|             line(cimage, vtx[j], vtx[(j+1)%4], Scalar(0,255,0), 1, CV_AA);
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|     }
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| 
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|     imshow("result", cimage);
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| }
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