直方图的均衡化

#include <opencv2/opencv.hpp>#include <iostream>using namespace std;using namespace cv;int main(){    //直方图    Mat image = imread("D:/group.jpg", 0);    MatND hist;    const int channels[] = { 0 };    const int histsize[] = { 256 };    const float range[] = { 0., 255. };    const float *ranges[] = { range };    calcHist(&image, 1, channels, Mat(), hist, 1, histsize, ranges);    double min, max;    minMaxLoc(hist, &min, &max);    double rate = 255. / max;    Mat histgram(256, 256, CV_8U, Scalar(255));    //Mat histagram(Size(255, 255), CV_8U, Scalar(255));    for (int i = 0;i < 255; i++)    {        //line(histagram, Point(i, 255), Point(i, 255 - hist.at<float>(i)*rate), Scalar(0));        line(histgram, Point(i, 255), Point(i, 255 - hist.at<float>(i)*rate), Scalar(0));    }    namedWindow("image");    imshow("image", image);    namedWindow("histgram");    imshow("histgram", histgram);    //直方图均衡化，像素强度更平均    Mat result;    equalizeHist(image, result);    namedWindow("equalizeHist");    imshow("equalizeHist", result);    MatND histo;    calcHist(&result, 1, channels, Mat(), histo, 1, histsize, ranges);          //该加const一定要加const,否则会报错参数不匹配    minMaxLoc(histo, &min, &max);                                               //参数定义一定要和函数内部数据类型一致,double    rate = 255. / max;    Mat histogram(256, 256, CV_8U, Scalar(255));    for (int i = 0;i < 255; i++)    {        line(histogram, Point(i, 255), Point(i, 255 - histo.at<float>(i)*rate), Scalar(0));//用int是不可以的,用float    }    namedWindow("histogram");    imshow("histogram", histogram);    imwrite("D:/picture1/image.png", image);    imwrite("D:/picture1/eqiulizeHist.png", result);    waitKey(0);    return 0;}