#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/opencv.hpp"
#include "opencv2/core/core.hpp"
#include <stdio.h>
#include <string>
using namespace std;
using namespace cv;
int main()
{
cv::Mat srcImage = cv::imread("F:\\processImage\\Baboon.bmp");
if (srcImage.empty())
{
return -1;
}
cv::imshow("原图像", srcImage);
//转换为灰度图
cv::Mat srcGray;
cv::cvtColor(srcImage, srcGray, CV_RGB2GRAY);
//计算图像直方图
const int channels[1] = { 0 };
const int histSize[1] = { 256 };
float hranges[2] = { 0, 255 };
const float* ranges[1] = { hranges };
cv::MatND hist;
cv::calcHist(&srcGray, 1, channels, cv::Mat(), hist, 1, histSize, ranges);
float table[256];
int nPix = srcGray.cols * srcGray.rows;
//建立映射表
for (int i = 0; i < 256; i++)
{
float temp[256];
//像素变换
temp[i] = hist.at<float>(i) / nPix * 255;
if (i != 0)
{
//像素累计
table[i] = table[i - 1] + temp[i];
}
else{ table[i] = temp[i]; }
}
//通过映射表查找
cv::Mat lookUpTable(cv::Size(1, 256), CV_8U);
for (int i = 0; i < 256; i++)
{
lookUpTable.at<uchar>(i) = static_cast<uchar>(table[i]);
}
cv::Mat histTransResult;
cv::LUT(srcGray, lookUpTable, histTransResult);
cv::imshow("histTransResult", histTransResult);
cv::waitKey(0);
return 0;
}
