opencv（Python/c++）:分离颜色通道split、多通道图像混合merge

分手后的思念是犯贱 2022-03-12 11:54 436阅读 0赞

## 效果图： ##

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80Mjc1NTM4NA_size_16_color_FFFFFF_t_70]

## c++版本 ##

*  **分离颜色通道split**

源代码如下：

#include <iostream>
    #include <opencv/cv.hpp>
    #include <opencv2/core/core.hpp>
    #include <opencv2/highgui/highgui.hpp>
    #include<opencv2/imgproc/imgproc.hpp>
    
    using namespace std;
    using namespace cv;
    
    //主函数
    int main(void)
    { 
        vector<Mat> channels;//定义容器
        Mat imageBlueChannel;
        Mat imageGreenChannel;
        Mat imageRedChannel;
        Mat srcImage=imread("/home/liuxin/桌面/opencv/hammer.jpg");
    
        //把3通道图像转换成3个单通道图像
        split(srcImage,channels);
    
        imageBlueChannel=channels.at(0);
        imageGreenChannel=channels.at(1);
        imageRedChannel=channels.at(2);
    
        //显示
        namedWindow("original");
        moveWindow("original",20,20);
        namedWindow("blue");
        moveWindow("blue",100,60);
        namedWindow("green");
        moveWindow("green",20,100);
        namedWindow("red");
        moveWindow("red",100,100);
        imshow("original",srcImage);
        imshow("blue",imageBlueChannel);
        imshow("green",imageGreenChannel);
        imshow("red",imageRedChannel);
        while(1)
        { 
            int key=cvWaitKey(10);
        if (key==27)
        { 
            break;
        }
        }
        return(0);
    }

*  **多通道图像混合merge**  
    源码如下：（**也就是将上面分离的通道再合在一起**，所以就不展示效果了）

#include <iostream>
    #include <opencv/cv.hpp>
    #include <opencv2/core/core.hpp>
    #include <opencv2/highgui/highgui.hpp>
    #include<opencv2/imgproc/imgproc.hpp>
    
    using namespace std;
    using namespace cv;
    
    //主函数
    int main(void)
    { 
        vector<Mat> channels;//定义容器
        Mat imageBlueChannel;
        Mat imageGreenChannel;
        Mat imageRedChannel;
        Mat srcImage=imread("/home/liuxin/桌面/opencv/hammer.jpg");
    
        //把3通道图像转换成3个单通道图像
        split(srcImage,channels);
    
        imageBlueChannel=channels.at(0);
        imageGreenChannel=channels.at(1);
        imageRedChannel=channels.at(2);
    
        //对分离的通道再进行合并
        Mat mergeImage;
        merge(channels,mergeImage);
    
        imshow("mergeImage",mergeImage);
        while(1)
        { 
            int key=cvWaitKey(10);
        if (key==27)
        { 
            break;
        }
        }
        return(0);
    }

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80Mjc1NTM4NA_size_16_color_FFFFFF_t_70]: /images/20220312/ac2d72d097f147168675eb9dc316724d.png