Learning OpenCV, 2nd Edition

cv::namedWindow( "HS Histogram0", 1 );cv::imshow( "HS Histogram0", hist_img[0] );

cv::namedWindow( "Source1", 1 );cv::imshow( "Source1", src[1] );

cv::namedWindow( "HS Histogram1", 1 ); cv::imshow( "HS Histogram1", hist_img[1] );

cv::namedWindow( "Source2", 1 ); cv::imshow( "Source2", src[2] );

cv::namedWindow( "HS Histogram2", 1 ); cv::imshow( "HS Histogram2", hist_img[2] );

cv::namedWindow( "Source3", 1 ); cv::imshow( "Source3", src[3] );

cv::namedWindow( "HS Histogram3", 1 ); cv::imshow( "HS Histogram3", hist_img[3] );

cv::namedWindow( "Source4", 1 ); cv::imshow( "Source4", src[4] );

cv::namedWindow( "HS Histogram4", 1 ); cv::imshow( "HS Histogram4", hist_img[4] );

// Compare the histogram src0 vs 1, vs 2, vs 3, vs 4

//

cout << "Comparison:\n"

<< "Corr Chi Intersect Bhat\n"

<< endl;

for(i=1; i<5; ++i) { // For each histogram

cout << "Hist[0] vs Hist[" << i << "]: " << endl;;

for(int j=0; j<4; ++j) { // For each comparison type

cout << "method[" << j << "]: " << cv::compareHist(hist[0],hist[i],j) << " ";

}

cout << endl;

}

//Do EMD and report

//

vector<cv::Mat> sig(5);

cout << "\nEMD: " << endl;

// Oi Vey, parse histograms to earth movers signatures

//

for( i=0; i<5; ++i) {

vector<cv::Vec3f> sigv;

// (re)normalize histogram to make the bin weights sum to 1.

//

cv::normalize(hist[i], hist[i], 1, 0, cv::NORM_L1);

for( int h = 0; h < h_bins; ...