#include <opencv2/opencv.hpp>#include <opencv2/core/core.hpp>#include <opencv2/highgui/highgui.hpp>#include <opencv2/imgproc/imgproc.hpp>using namespace std;using namespace cv;//包含cv命名空間int main(){ char *origin="Original"; char *window="Image"; char *str="G://yay.jpg"; namedWindow(origin,1); namedWindow(window,1); Mat image=imread(str); if(!image.data) {  cout<<"圖像載入出現(xiàn)問(wèn)題"<<endl;  return 0; } Mat roi=image(Rect(20,20,20,20)); Mat hsvImg; cvtColor(image, hsvImg, CV_BGR2HSV); //將圖像轉(zhuǎn)換到HSV顏色空間 //分離HSV空間，v[0]為H色調(diào)，v[1]為S飽和度，v[2]為v灰度 vector<Mat> v; split(hsvImg,v); Mat roiH=v[0](Rect(20,20,20,20)); Mat roiS=v[1](Rect(20,20,20,20)); int SumH=0; int SumS=0; int avgH, avgS;//藍(lán)底的平均色調(diào)和平均飽和度 //取一塊藍(lán)色背景，計(jì)算出它的平均色調(diào)和平均飽和度 for(int i=0; i<20; i++) {  for(int j=0; j<20; j++)  {   /*SumH=SumH+roiH(i,j);*/   SumH=int(roiH.at<uchar>(j,i))+SumH;   SumS=int(roiS.at<uchar>(j,i))+SumS;  } } avgH=SumH/400; avgS=SumS/400; //遍歷整個(gè)圖像 int nl=hsvImg.rows; int nc=hsvImg.cols; int step=10; for(int j=0; j<nl; j++) {  for(int i=0; i<nc; i++)  {   //以H.S兩個(gè)通道做閾值分割，把藍(lán)色替換成紅色   if((v[0].at<uchar>(j,i))<=(avgH+5) && v[0].at<uchar>(j,i)>=(avgH-5)    &&(v[1].at<uchar>(j,i))<=(avgS+40) && v[1].at<uchar>(j,i)>=(avgS-40))   {    //cout<<int(v[0].at<uchar>(j,i))<<endl;    //紅色底    //v[0].at<uchar>(j,i)=0;    //白色底    v[0].at<uchar>(j,i)=0;    v[1].at<uchar>(j,i)=0; //V[0]和V[1]全調(diào)成0就是變成白色    //綠色底    //v[0].at<uchar>(j,i)=60;    //藍(lán)色底    //v[0].at<uchar>(j,i)=120;    /*cout<<int(v[0].at<uchar>(j,i))<<endl;*/   }  } } Mat finImg; merge(v,finImg); Mat rgbImg; cvtColor(finImg,rgbImg, CV_HSV2BGR); //將圖像轉(zhuǎn)換回RGB空間 imshow(origin,image); imshow(window,rgbImg); //加個(gè)濾波把邊緣部分的值濾掉（此處應(yīng)該用低通濾波器，但感覺(jué)不太好，還是不用了。） Mat result; GaussianBlur(rgbImg,result,Size(3,3),0.5); imshow(window,result); imwrite("new.jpg",result); waitKey(0); //system("pause"); return 0;}