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64 lines
1.7 KiB
C++
64 lines
1.7 KiB
C++
#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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void help()
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{
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cout << "This program demonstrates finding the minimum enclosing box or circle of a set\n"
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"of points using functions: minAreaRect() minEnclosingCircle().\n"
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"Random points are generated and then enclosed.\n"
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"Call:\n"
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"./minarea\n"
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"Using OpenCV version %s\n" << CV_VERSION << "\n" << endl;
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}
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int main( int /*argc*/, char** /*argv*/ )
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{
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help();
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Mat img(500, 500, CV_8UC3);
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RNG& rng = theRNG();
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for(;;)
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{
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int i, count = rng.uniform(1, 101);
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vector<Point> points;
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for( i = 0; i < count; i++ )
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{
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Point pt;
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pt.x = rng.uniform(img.cols/4, img.cols*3/4);
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pt.y = rng.uniform(img.rows/4, img.rows*3/4);
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points.push_back(pt);
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}
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RotatedRect box = minAreaRect(Mat(points));
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Point2f center, vtx[4];
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float radius = 0;
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minEnclosingCircle(Mat(points), center, radius);
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box.points(vtx);
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img = Scalar::all(0);
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for( i = 0; i < count; i++ )
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circle( img, points[i], 3, Scalar(0, 0, 255), CV_FILLED, CV_AA );
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for( i = 0; i < 4; i++ )
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line(img, vtx[i], vtx[(i+1)%4], Scalar(0, 255, 0), 1, CV_AA);
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circle(img, center, cvRound(radius), Scalar(0, 255, 255), 1, CV_AA);
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imshow( "rect & circle", img );
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char key = (char)cvWaitKey();
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if( key == 27 || key == 'q' || key == 'Q' ) // 'ESC'
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break;
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}
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return 0;
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}
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