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- // opencv_test.cpp : Defines the entry point for the console application.
- //
- #include "stdafx.h"
- #include "opencv2/imgproc/imgproc.hpp"
- #include "opencv2/highgui/highgui.hpp"
- #include "opencv2/contrib/contrib.hpp"
- #include <iostream>
- using namespace cv;
- using namespace std;
- static 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 = parser.get<string>("1");
- string templ = parser.get<string>("2");
- 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, COLOR_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;
- int best = chamferMatching2( 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.y, pt.x) = Vec3b(0, 255, 0);
- }
- imshow("result", cimg);
- waitKey();
- return 0;
- }
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