Open Source Computer Vision Library https://opencv.org/
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/* This sample code was originally provided by Liu Liu
* Copyright (C) 2009, Liu Liu All rights reserved.
*/
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
using namespace cv;
using namespace std;
static void help()
{
cout << "\nThis program demonstrates the Maximal Extremal Region interest point detector.\n"
"It finds the most stable (in size) dark and white regions as a threshold is increased.\n"
"\nCall:\n"
"./mser_sample <path_and_image_filename, Default is 'puzzle.png'>\n\n";
}
static const Vec3b bcolors[] =
{
Vec3b(0,0,255),
Vec3b(0,128,255),
Vec3b(0,255,255),
Vec3b(0,255,0),
Vec3b(255,128,0),
Vec3b(255,255,0),
Vec3b(255,0,0),
Vec3b(255,0,255),
Vec3b(255,255,255)
};
int main( int argc, char** argv )
{
string path;
Mat img0, img, yuv, gray, ellipses;
help();
img0 = imread( argc != 2 ? "puzzle.png" : argv[1], 1 );
if( img0.empty() )
{
if( argc != 2 )
cout << "\nUsage: mser_sample <path_to_image>\n";
else
cout << "Unable to load image " << argv[1] << endl;
return 0;
}
cvtColor(img0, yuv, COLOR_BGR2YCrCb);
cvtColor(img0, gray, COLOR_BGR2GRAY);
cvtColor(gray, img, COLOR_GRAY2BGR);
img.copyTo(ellipses);
vector<vector<Point> > contours;
double t = (double)getTickCount();
MSER()(yuv, contours);
t = (double)getTickCount() - t;
printf( "MSER extracted %d contours in %g ms.\n", (int)contours.size(),
t*1000./getTickFrequency() );
// draw mser's with different colors
for( int i = (int)contours.size()-1; i >= 0; i-- )
{
const vector<Point>& r = contours[i];
for ( int j = 0; j < (int)r.size(); j++ )
{
Point pt = r[j];
img.at<Vec3b>(pt) = bcolors[i%9];
}
// find ellipse (it seems cvfitellipse2 have error or sth?)
RotatedRect box = fitEllipse( r );
box.angle=(float)CV_PI/2-box.angle;
ellipse( ellipses, box, Scalar(196,255,255), 2 );
}
imshow( "original", img0 );
imshow( "response", img );
imshow( "ellipses", ellipses );
waitKey(0);
}