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hist.cpp
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hist.cpp
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#include "opencv2/highgui/highgui.hpp"
//#include "opencv2/imgcodecs.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
using namespace std;
using namespace cv;
/**
* @function main
*/
int main(int argc, char** argv)
{
Mat src, dst,output;
src = imread( argv[1], IMREAD_COLOR );
if( src.empty() )
{ return -1; }
// cvtColor(src,src,cv::COLOR_BGR2HSV);
// cvtColor(src,output,cv::COLOR_BGR2GRAY);
cvtColor(src,src,cv::COLOR_BGR2YCrCb);
vector<Mat> planes;
split( src, planes );
/// Establish the number of bins
int histSize = 256;
/// Set the ranges ( for B,G,R) )
float range[] = { 0, 256 } ;
const float* histRange = { range };
bool uniform = true; bool accumulate = false;
Mat img_hist;
/// Compute the histograms:
calcHist( &planes[1], 1, 0, Mat(), img_hist, 1, &histSize, &histRange, uniform, accumulate );
// Draw the histograms
int hist_w = 512; int hist_h = 400;
int bin_w = cvRound( (double) hist_w/histSize );
Mat histImage( hist_h, hist_w, CV_8UC1, Scalar(0) );
/// Normalize the result to [ 0, histImage.rows ]
normalize(img_hist, img_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
/// Draw for each channel
for( int i = 1; i < histSize; i++ )
{
line( histImage, Point( bin_w*(i-1), hist_h - cvRound(img_hist.at<float>(i-1)) ) ,
Point( bin_w*(i), hist_h - cvRound(img_hist.at<float>(i)) ),
Scalar( 255, 0, 0), 2, 8, 0 );
}
/// Display
namedWindow("calcHist Demo", WINDOW_AUTOSIZE );
imshow("calcHist Demo", histImage );
waitKey(0);
return 0;
}