#include <iostream>

#include <opencv2/opencv.hpp>

using namespace std;

using namespace cv;

Mat img1, img2, img3, img_gray, map_x, map_y;

char win1[] = "window1";

char win2[] = "window2";

char win3[] = "window3";

char win4[] = "window4";

int threshold_value = 0;

int max_value = 255;

RNG rng(12345);

int Demo_Histogram();

int index = 0;

//Remap

int Demo_Histogram()

{

  img1 = imread("D://images//1//9.jpg");

  if (img1.empty())

  {

    cout << "could not load image..." << endl;

    return 0;

  }

  imshow(win1, img1);

  vector<Mat> bgr_planes;

  //把多通道图像分为多个单通道图像

  split(img1,bgr_planes);

  //imshow(win2,bgr_planes);

  int histSize = 256;

  float range[] = {0,256};

  const float *histRanges = {range};

  Mat b_hist, g_hist, r_hist;

  calcHist(&bgr_planes[0], 1, 0, Mat(), b_hist, 1, &histSize, &histRanges, true, false);

  calcHist(&bgr_planes[1], 1, 0, Mat(), g_hist, 1, &histSize, &histRanges, true, false);

  calcHist(&bgr_planes[2], 1, 0, Mat(), r_hist, 1, &histSize, &histRanges, true, false);

  int hist_h = 400;

  int hist_w = 512;

  int bin_w = hist_w / histSize;

  Mat histImage(hist_w,hist_h,CV_8UC3,Scalar(0,0,0));

  //归一化处理

  normalize(b_hist, b_hist, 0, hist_h, NORM_MINMAX, -1, Mat());

  normalize(g_hist, g_hist, 0, hist_h, NORM_MINMAX, -1, Mat());

  normalize(r_hist, r_hist, 0, hist_h, NORM_MINMAX, -1, Mat());

  for (int i=1;i<histSize;i++)

  {

    line(histImage,

      Point((i-1)*bin_w,hist_h-cvRound(b_hist.at<float>(i-1))),

      Point((i)*bin_w, hist_h - cvRound(b_hist.at<float>(i))),

      Scalar(255,0,2),2,LINE_AA);

    line(histImage,

      Point((i - 1)*bin_w, hist_h - cvRound(g_hist.at<float>(i - 1))),

      Point((i)*bin_w, hist_h - cvRound(g_hist.at<float>(i))),

      Scalar(0, 255, 2), 2, LINE_AA);

    line(histImage,

      Point((i - 1)*bin_w, hist_h - cvRound(r_hist.at<float>(i - 1))),

      Point((i)*bin_w, hist_h - cvRound(r_hist.at<float>(i))),

      Scalar(0, 0, 255), 2, LINE_AA);

  }

  imshow(win2, histImage);

  return 0;

}

 

int main()

{

  Demo_Histogram();

  waitKey(0);

  return 0;

}

 Opencv  图片直方图_scala