opencv实现图像颜色空间转换

img *= 1./255；
cvtColor（img， img，CV_BGR2Luv）；

#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/core/core.hpp>
#include <iostream>
#include <stdio.h>
using namespace std;
int main()
{
  cv::Mat srcImage = cv::imread("C:\\Users\\LP\\Desktop\\C++\\ConsoleApplication4\\ConsoleApplication4\\1.jpg");
  if (srcImage.empty())
  {
    return -1;
  } 
  cv::imshow("原图像", srcImage);
  cv::Mat image_hsv, image_H, image_S, image_V, image_col;
  //HSV颜色空间转换
  cv::cvtColor(srcImage, image_hsv, CV_BGR2HSV);
  cv::imshow("image_hsv", image_hsv);
  //YCrCb颜色空间转换
  cv::cvtColor(srcImage, image_col, CV_BGR2YCrCb);
  cv::imshow("image_col", image_col);
  //HLS颜色空间转换
  cv::cvtColor(srcImage, image_col, CV_BGR2HLS);
  cv::imshow("iamge_HLS", image_col);
  //Lab颜色空间转换
  cv::cvtColor(srcImage, image_col, CV_BGR2Lab);
  cv::imshow("image_Lab", image_col);
  //分离HSV各个通道
  std::vector<cv::Mat> hsvChannels;
  cv::split(image_hsv, hsvChannels);
  //0通道为H分量，1通道为S分量，2通道为V分量
  image_H = hsvChannels[0];
  image_S = hsvChannels[1];
  image_V = hsvChannels[2];
  //分别显示各通道图像
  cv::imshow("image_H", image_H);
  cv::imshow("image_S", image_S);
  cv::imshow("image_V", image_V);
  
  cv::waitKey(0);
  return 0;
}