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56 lines
1.6 KiB
C++
56 lines
1.6 KiB
C++
#include <opencv2/imgproc.hpp>
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#include <opencv2/highgui.hpp>
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using namespace cv;
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int main( int argc, char** argv )
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{
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Mat src, hsv;
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if( argc != 2 || !(src=imread(argv[1], 1)).data )
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return -1;
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cvtColor(src, hsv, COLOR_BGR2HSV);
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// Quantize the hue to 30 levels
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// and the saturation to 32 levels
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int hbins = 30, sbins = 32;
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int histSize[] = {hbins, sbins};
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// hue varies from 0 to 179, see cvtColor
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float hranges[] = { 0, 180 };
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// saturation varies from 0 (black-gray-white) to
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// 255 (pure spectrum color)
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float sranges[] = { 0, 256 };
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const float* ranges[] = { hranges, sranges };
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MatND hist;
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// we compute the histogram from the 0-th and 1-st channels
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int channels[] = {0, 1};
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calcHist( &hsv, 1, channels, Mat(), // do not use mask
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hist, 2, histSize, ranges,
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true, // the histogram is uniform
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false );
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double maxVal=0;
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minMaxLoc(hist, 0, &maxVal, 0, 0);
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int scale = 10;
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Mat histImg = Mat::zeros(sbins*scale, hbins*10, CV_8UC3);
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for( int h = 0; h < hbins; h++ )
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for( int s = 0; s < sbins; s++ )
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{
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float binVal = hist.at<float>(h, s);
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int intensity = cvRound(binVal*255/maxVal);
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rectangle( histImg, Point(h*scale, s*scale),
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Point( (h+1)*scale - 1, (s+1)*scale - 1),
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Scalar::all(intensity),
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-1 );
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}
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namedWindow( "Source", 1 );
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imshow( "Source", src );
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namedWindow( "H-S Histogram", 1 );
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imshow( "H-S Histogram", histImg );
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waitKey();
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}
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