【OPENCV】图像颜色转换

程序功能：读取源图像和目标图像，进行图像的颜色转换。

注意：使用Open CV,需要进行环境配置。处理的图片放在项目中。

#include <opencv2/highgui.hpp>#include <D:\OpenCVWork\opencv\opencv\include\opencv\cv.h>#include<iostream>  #include<cmath>  using namespace std;using namespace cv;//get meanvoid getMean(IplImage *img,double *mean){int i, j;CvScalar s;for (i = 0; i<img->height; i++){for (j = 0; j<img->width; j++){s = cvGet2D(img, i, j);mean[0] = mean[0] + s.val[0];mean[1] = mean[1] + s.val[1];mean[2] = mean[2] + s.val[2];}}for (i = 0; i<3; i++){mean[i] = mean[i] / ((img->height)*(img->width));}}//get Stdvoid getStd(IplImage *img, double *mean,double *std){int i, j;CvScalar s;for (i = 0; i<img->height; i++){for (j = 0; j<img->width; j++){s = cvGet2D(img, i, j);std[0] = std[0] + (s.val[0] - mean[0])*(s.val[0] - mean[0]);std[1] = std[1] + (s.val[1] - mean[1])*(s.val[1] - mean[1]);std[2] = std[2] + (s.val[2] - mean[2])*(s.val[2] - mean[2]);}}for (i = 0; i<3; i++){std[i] = sqrt(std[i] / ((img->width)*(img->height)));}}int main(){IplImage *src1 = cvLoadImage("pic15.jpg");//the picture you want to transform colorIplImage *src2 = cvCreateImage(cvGetSize(src1), src1->depth, src1->nChannels);//to deal with itcvCvtColor(src1, src2, CV_BGR2Lab);//src2 : transform from RGB to LAB//cvCvtColor(src1, src2, CV_BGR2HSV);//mode2//cvCvtColor(src1, src2, CV_BGR2XYZ);//mode3//cvCvtColor(src1, src2, CV_BGR2YUV);//mode4CvMat *out = cvCreateMat(src2->height, src2->width, CV_8UC3);//the target picture to put outIplImage *dst1 = cvLoadImage("pic16.jpg");//reference colorIplImage *dst2 = cvCreateImage(cvGetSize(dst1), dst1->depth, dst1->nChannels);//to deal with it    cvCvtColor(dst1, dst2, CV_BGR2Lab);//cvCvtColor(dst1, dst2, CV_BGR2HSV);//mode2//cvCvtColor(dst1, dst2, CV_BGR2XYZ);//mode3//cvCvtColor(dst1, dst2, CV_BGR2YUV);//mode4int i, j;double mean1[3], mean2[3];double std1[3], std2[3];for (i = 0; i<3; i++)//initialize the arrays{mean1[i] = 0;mean2[i] = 0;std1[i] = 0;std2[i] = 0;}getMean(src2, mean1);//to calculate the value of mean (src)getMean(dst2, mean2);//mean of dstgetStd(src2, mean1,std1);//std of srcgetStd(dst2, mean2, std2);//std of dstCvScalar s;//have at most four dimensionsfor (i = 0; i<src2->height; i++){for (j = 0; j<src2->width; j++){s = cvGet2D(src2, i, j);s.val[0] = (s.val[0] - mean1[0])*(std2[0] / std1[0]) + mean2[0];s.val[1] = (s.val[1] - mean1[1])*(std2[1] / std1[1]) + mean2[1];s.val[2] = (s.val[2] - mean1[2])*(std2[2] / std1[2]) + mean2[2];cvSet2D(src2, i, j, s);//img height width cvScalarValue}}IplImage *src3 = cvCreateImage(cvGetSize(src1), src1->depth, src1->nChannels);cvCvtColor(src2, src3, CV_Lab2BGR);//src3: transform from lab to RGB//cvCvtColor(src2, src3, CV_HSV2BGR);//mode2//cvCvtColor(src2, src3, CV_XYZ2BGR);//mode3//cvCvtColor(src2, src3, CV_YUV2BGR);//mode4cvNamedWindow("source", 1);cvNamedWindow("refer", 1);cvNamedWindow("result", 1);cvShowImage("source", src1);cvShowImage("refer", dst1);cvShowImage("result", src3);cvSaveImage("save.jpg", src3);cvWaitKey(0);cvReleaseImage(&src1);cvReleaseImage(&src3);cvReleaseImage(&dst1);cvDestroyWindow("source");cvDestroyWindow("refer");cvDestroyWindow("result");return 0;}