Also fixed some typos and code alignment Also adapted tutorial CPP samples Fixed some identation problems
		
			
				
	
	
		
			75 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			75 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/contrib/contrib.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 << "\nThis program demonstrates Chamfer matching -- computing a distance between an \n"
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            "edge template and a query edge image.\n"
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            "Usage: \n"
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            "./chamfer <image edge map> <template edge map>,"
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            " By default the inputs are logo_in_clutter.png logo.png\n";
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}
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const char* keys =
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{
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    "{1| |logo_in_clutter.png|image edge map    }"
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    "{2| |logo.png               |template edge map}"
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};
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int main( int argc, const char** argv )
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{
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    help();
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    CommandLineParser parser(argc, argv, keys);
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    string image = parser.get<string>("1");
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    string templ = parser.get<string>("2");
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    Mat img = imread(image.c_str(), 0);
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    Mat tpl = imread(templ.c_str(), 0);
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    if (img.empty() || tpl.empty())
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    {
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        cout << "Could not read image file " << image << " or " << templ << "." << endl;
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        return -1;
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    }
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    Mat cimg;
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    cvtColor(img, cimg, COLOR_GRAY2BGR);
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    // if the image and the template are not edge maps but normal grayscale images,
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    // you might want to uncomment the lines below to produce the maps. You can also
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    // run Sobel instead of Canny.
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    // Canny(img, img, 5, 50, 3);
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    // Canny(tpl, tpl, 5, 50, 3);
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    vector<vector<Point> > results;
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    vector<float> costs;
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    int best = chamerMatching( img, tpl, results, costs );
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    if( best < 0 )
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    {
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        cout << "matching not found" << endl;
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        return -1;
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    }
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    size_t i, n = results[best].size();
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    for( i = 0; i < n; i++ )
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    {
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        Point pt = results[best][i];
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        if( pt.inside(Rect(0, 0, cimg.cols, cimg.rows)) )
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           cimg.at<Vec3b>(pt) = Vec3b(0, 255, 0);
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    }
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    imshow("result", cimg);
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    waitKey();
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    return 0;
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}
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