分离颜色通道、多通道图像混合

一、通道分离：split()函数

#include<opencv2/opencv.hpp>
#include<iostream>
#include<vector>
using namespace cv;
using namespace std;

bool ROI_AddImage();
bool LinearBlending();


int main(int argc, char** argv) {
    //Mat image1= imread("C:\Users\Nelsoner\Desktop\Camera Roll\05.jpg");
    //Mat image2 = imread("C:\Users\Nelsoner\Desktop\Camera Roll\08.jpg");
    system("color 5E");
    if (ROI_AddImage() && LinearBlending() ) {
        cout << endl << "运行成功，得出了你需要的图像~：";
    }
    waitKey(0);
    return 0;

    
}

bool ROI_AddImage() {   //利用感兴趣的区域ROI实现图像叠加
    //读入图像
    Mat srcImage1 = imread("C:\Users\Nelsoner\Desktop\Camera Roll\05.jpg");
    Mat logoImage = imread("C:\Users\Nelsoner\Desktop\Camera Roll\001.jpg");

    //定义一个Match类型并给其设定ROI区域
    Mat imageROI = srcImage1(Rect(srcImage1.cols-logoImage.cols, srcImage1.rows-logoImage.rows,logoImage.cols,logoImage.rows));
    
    //加载掩模
    Mat mask = imread("C:\Users\Nelsoner\Desktop\Camera Roll\001.jpg",0);
    
    //将掩模复制到ROI
    logoImage.copyTo(imageROI,mask);

    //显示结果
    namedWindow("hah");
    imshow("hah",srcImage1);
    
    return true;
}

bool LinearBlending() {  //利用addWeighted()函数实现图像线性混合
    double alphaValue = 0.5;
    double betaValue;
    Mat srcImage2, srcImage3, dstImage;

    //读取图像（两幅图类型和尺寸相同）
    srcImage2 = imread("C:\Users\Nelsoner\Desktop\Camera Roll\05.jpg");
    srcImage3 = imread("C:\Users\Nelsoner\Desktop\Camera Roll\08.jpg");

    //进行图像混合加权操作
    betaValue = (1.0 - alphaValue);
    addWeighted(srcImage2, alphaValue, srcImage3, betaValue,0.0,dstImage);

    namedWindow("heh");
    imshow("heh",dstImage);

    return true;
}