OpenCV 直方图均衡化的实现原理解析

cv::equalizeHist(
	InputArray src,	// 输入图像，必须是8-bit的单通道图像
	OutputArray dst	// 输出结果
)

#include <iostream>
#include <math.h>
#include <opencv2/opencv.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/highgui/highgui_c.h> 

using namespace cv;
int main(int argc, char** argv) 
{
	Mat src, dst;
	src = imread("./test2.jpg");
	if (!src.data) {
		printf("could not load image...\n");
		return -1;
	}
	cvtColor(src, src, CV_BGR2GRAY);
	equalizeHist(src, dst);
	char INPUT_T[] = "input image";
	char OUTPUT_T[] = "result image";
	namedWindow(INPUT_T, CV_WINDOW_AUTOSIZE);
	namedWindow(OUTPUT_T, CV_WINDOW_AUTOSIZE);
	imshow(INPUT_T, src);
	imshow(OUTPUT_T, dst);
	waitKey(0);
	return 0;
}

#include <iostream>
#include <math.h>
#include <opencv2/opencv.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/highgui/highgui_c.h> 

using namespace cv;
using namespace std;
int main(int argc, char*argv)
{
	Mat src, dst, dst1;
	src = imread("./test2.jpg");
	if (!src.data)
	{
		printf("could not load image...\n");
		return -1;
	}
	char input[] = "input image";
	char output[] = "histogram iamge";
	namedWindow(input, CV_WINDOW_AUTOSIZE);
	namedWindow(output, CV_WINDOW_AUTOSIZE);
	imshow(input, src);
	// 分割通道
	vector<Mat>channels;
	split(src, channels);
	Mat blue, green, red;
	blue = channels.at(0);
	green = channels.at(1);
	red = channels.at(2);
	// 分别对BGR通道做直方图均衡化
	equalizeHist(blue, blue);
	equalizeHist(green, green);
	equalizeHist(red, red);
	// 合并通道
	merge(channels, dst);
	imshow(output, dst);
	waitKey(0);
	return 0;
}