#include "opencv2/imgproc/imgproc.hpp"

#include "opencv2/highgui/highgui.hpp"

#include "opencv2/contrib/contrib.hpp"

#include <iostream>

using namespace cv;

using namespace std;

void help()

{

   cout << "\nThis program demonstrates Chamfer matching -- computing a distance between an \n"

            "edge template and a query edge image.\n"

            "Usage: \n"

            "./chamfer <image edge map> <template edge map>,"

            " By default the inputs are logo_in_clutter.png logo.png\n";

}

const char* keys = 

{

        "{1| |logo_in_clutter.png|image edge map    }"

        "{2| |logo.png               |template edge map}"

};

int main( int argc, const char** argv )

{

        //help();

        //CommandLineParser parser(argc, argv, keys);

        string image = "black.png";

        string templ = "logo.png";

        Mat img = imread(image.c_str(), 0);

        Mat tpl = imread(templ.c_str(), 0);

        if (img.empty() || tpl.empty())

    {

        cout << "Could not read image file " << image << " or " << templ << "." << endl;

        return -1;

    }

    Mat cimg;

    cvtColor(img, cimg, CV_GRAY2BGR);

    // if the image and the template are not edge maps but normal grayscale images,

    // you might want to uncomment the lines below to produce the maps. You can also

    // run Sobel instead of Canny.

    // Canny(img, img, 5, 50, 3);

    // Canny(tpl, tpl, 5, 50, 3);

    vector<vector<Point> > results;

    vector<float> costs;

        for (int iter=0; iter<100; iter++)

        {

                int best = chamerMatching( img, tpl, results, costs );

                if( best < 0 )

                {

                        cout << "matching not found" << endl;

                        return -1;

                }

                //size_t i, n = results[best].size();

                //for( i = 0; i < n; i++ )

                //{

                //        Point pt = results[best][i];

                //        if( pt.inside(Rect(0, 0, cimg.cols, cimg.rows)) )

                //           cimg.at<Vec3b>(pt) = Vec3b(0, 255, 0);

                //}

        }

    imshow("result", cimg);

    waitKey();

    return 0;

}