opencv笔记——分离颜色通道&多通道图像混合

多余的不说，详细函数解析请见

浅墨——毛星云

分离颜色通道&多通道图像混合

#include<opencv2/opencv.hpp>
#include<iostream>
using namespace std;
using namespace cv;
bool Colorchannel();
int main()
{
    system("color 5E");
   if(Colorchannel())
        cout<<"operation success"<<endl;
   waitKey(0);
   return 0;
}
bool Colorchannel()
{
    //定义相关变量
    vector<Mat>channel;
    Mat logo_img;
    Mat Big_img;
    //读入图片
    logo_img=imread("C:/Users/xihua/Pictures/Saved Pictures/opencv操作图/aixin.png",0);//logo灰度图
    Big_img=imread("C:/Users/xihua/Pictures/Saved Pictures/opencv操作图/xinhaicheng.png");
    if((!logo_img.data)&&(!Big_img.data)) {
        cout<<"No image!"<<endl; return false;
    }
    Mat imgbluechannel,imggreenchannel,imgredchannel;//定义三个单通道图像
    split(Big_img,channel);//分离三通道
    //蓝色通道ROI区域与logo线性混合再赋值到ROI区域
    imgbluechannel=channel.at(0);
    addWeighted(imgbluechannel(Rect(0,0,logo_img.cols,logo_img.rows)),1.0,logo_img,0.5,0,
                imgbluechannel(Rect(0,0,logo_img.cols,logo_img.rows)));
                merge(channel,Big_img);//再将三个单通道再重新合并为一个三通道
                namedWindow("蓝色通道的分离与混合");
    imshow("蓝色通道的分离与混合",Big_img);
     logo_img=imread("C:/Users/xihua/Pictures/Saved Pictures/opencv操作图/aixin.png",0);
    Big_img=imread("C:/Users/xihua/Pictures/Saved Pictures/opencv操作图/xinhaicheng.png");
    if((!logo_img.data)&&(!Big_img.data)) {
        cout<<"No image!"<<endl; return false;
    }
    split(Big_img,channel);
    imggreenchannel=channel.at(1);
    //绿色通道ROI区域与logo线性混合再赋值到ROI区域
    addWeighted(imggreenchannel(Rect(0,0,logo_img.cols,logo_img.rows)),1.0,logo_img,0.5,0,
                imggreenchannel(Rect(0,0,logo_img.cols,logo_img.rows)));
                merge(channel,Big_img);
                namedWindow("绿色通道的分离与混合");
    imshow("绿色通道的分离与混合",Big_img);
    logo_img=imread("C:/Users/xihua/Pictures/Saved Pictures/opencv操作图/aixin.png",0);
    Big_img=imread("C:/Users/xihua/Pictures/Saved Pictures/opencv操作图/xinhaicheng.png");
    if((!logo_img.data)&&(!Big_img.data)) {
        cout<<"No image!"<<endl; return false;
    }
    split(Big_img,channel);
    //红色通道ROI区域与logo线性混合再赋值到ROI区域
    imgredchannel=channel.at(2);
    addWeighted(imgredchannel(Rect(0,0,logo_img.cols,logo_img.rows)),1.0,logo_img,0.5,0,
                imgredchannel(Rect(0,0,logo_img.cols,logo_img.rows)));
                merge(channel,Big_img);
                namedWindow("红色通道的分离与混合");
    imshow("红色通道的分离与混合",Big_img);
    return true;
}