#include "stdio.h"
include "iostream"
include "opencv\cxcore.h"
include "opencv\highgui.h"
include "opencv\cv.h"
include "opencv2\core\core.hpp"
include "opencv2\highgui\highgui.hpp"
include "opencv2\imgproc\imgproc.hpp"
using namespace cv; using namespace std;
//int main( int argc, char** argv ) //{ // Mat src,hsv; // src=imread("DSC02712.JPG", CV_LOAD_IMAGE_COLOR);
int main( int argc, char** argv )
{ Mat src, dst,src1;
/// Load image src = imread( "1.png", CV_LOAD_IMAGE_COLOR ); cvtColor(src,src1,CV_RGB2GRAY);
if( !src.data ) { return -1; }
/// Separate the image in 3 places ( B, G and R ) //vector<mat> bgr_planes; //split( src, bgr_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 b_hist;
/// Compute the histograms:
calcHist( &src1, 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate );
// Draw the histograms for B, G and R int hist_w = 512; int hist_h = 400; int bin_w = cvRound( (double) hist_w/histSize );
Mat histImage( hist_h, hist_w, CV_8UC3, Scalar( 0,0,0) );
/// Normalize the result to [ 0, histImage.rows ] normalize(b_hist, b_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
/// Draw the histogram for( int i = 1; i < histSize; i++ ) { line( histImage, Point( bin_w(i-1), hist_h - cvRound(b_hist.at<float>(i-1)) ) , Point( bin_w(i), hist_h - cvRound(b_hist.at<float>(i)) ), Scalar( 255, 0, 0), 2, 8, 0 ); }
/// Display namedWindow("Histgram", CV_WINDOW_AUTOSIZE ); imshow("Histgram", histImage ); waitKey(0); }