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Open Source Computer Vision Library
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95 lines
2.7 KiB
95 lines
2.7 KiB
/******************************************************************************** |
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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/imgcodecs.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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// 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 ../data/stuff.jpg]\n" << endl; |
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// } |
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int sliderPos = 70; |
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Mat image; |
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void processImage(int, void*); |
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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*)"../data/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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imshow("source", image); |
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namedWindow("result", 1); |
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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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// 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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// 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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findContours(bimage, contours, RETR_LIST, CHAIN_APPROX_NONE); |
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Mat cimage = Mat::zeros(bimage.size(), CV_8UC3); |
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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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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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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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ellipse(cimage, box, Scalar(0,0,255), 1, LINE_AA); |
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ellipse(cimage, box.center, box.size*0.5f, box.angle, 0, 360, Scalar(0,255,255), 1, LINE_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, LINE_AA); |
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} |
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imshow("result", cimage); |
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}
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