OpenCv 008---通道分离与合并

1 所用到的主要OpenCv API

/** @overload
@param m input multi-channel array.输入一副多通道图片
@param mv output vector of arrays; the arrays themselves are reallocated, if needed.

   结果输出至一个多数组容器，数组在容器中可以进行再次分配，即自动erase？
*/

CV_EXPORTS_W void split(InputArray m, OutputArrayOfArrays mv);

/** @overload
@param mv input vector of matrices to be merged; all the matrices in mv must have the same
size and the same depth.
@param dst output array of the same size and the same depth as mv[0]; The number of channels will
be the total number of channels in the matrix array.
*/

CV_EXPORTS_W void merge(InputArrayOfArrays mv, OutputArray dst);

2 程序代码

#include "opencv2opencv.hpp"
#include <iostream>

using namespace std;
using namespace cv;

int main(int argc, char** argv)
{
    Mat src = imread("G:\CVworkstudy\program_wwx\研习社140课时\ZhaiZhigang140\lena.jpg");
    if (src.empty())
    {
        printf("Could not load image...
");
        return -1;
    }
    namedWindow("SrcImg", WINDOW_AUTOSIZE);
    imshow("SrcImg", src);

    vector<Mat> mv;
    Mat dstBlue, dstGreen, dstRed;

    //分离图片的BGR通道图片至Vector
    //以下分别对B、G、R进行赋值操作(将对应通道的颜色赋值为0，即去除该颜色)，再进行通道合并
    //如果分别对B、G、R进行赋值操作(将对应通道的颜色赋值为255，则整个图片将显示偏"BGR"色)
    split(src, mv);
    mv[0] = Scalar(0);
    //mv[1] = Scalar(0);//此时整个图片的BG通道均为0，图片整体颜色偏红R
    merge(mv, dstBlue);

    split(src, mv);
    mv[1] = Scalar(0);
    merge(mv, dstGreen);

    split(src, mv);
    mv[2] = Scalar(0);
    merge(mv, dstRed);

    //显示操作结果
    imshow("DstB", dstBlue);
    imshow("DstG", dstGreen);
    imshow("DstR", dstRed);

    waitKey(0);
    return 0;
}
//inrange可以提取特定颜色

3 运行结果