利用OpenCV分離彩色圖的RGB通道

OpenCV是個非常強大的開源視覺庫，對於我這樣從事視頻圖像處理的人來說，真的太好了，今天在圖像處理的時候，突然想看看彩色圖的RGB通道，於是查找了下資料，就動手了，代碼如下：

#include "stdafx.h"
#include "cv.h"  
#include "highgui.h"  
#include <cxcore.h> 
#include <iostream>
#include <string>
#include<cassert>
using namespace  cv;
using namespace std;
void main(int argc,char **argv)  
{  
	vector<Mat> channels,b,g,r;
	Mat img=imread("lena.png");
	Mat merge_img,dst,dst1,dst2;
	Mat tmp(img.size(),CV_8U,Scalar(0));
	split(img,channels);
	for(int i=0;i<3;i++)
	{
		if(i==0)
			b.push_back(channels[0]);
		else
			b.push_back(tmp);

		if(i==1)
			g.push_back(channels[1]);
		else
			g.push_back(tmp);

		if(i==2)
			r.push_back(channels[2]);
		else
			r.push_back(tmp);
	}
	//Mat imageBlue = channels.at(0);  
	//Mat imageGreen= channels.at(1);  
	//Mat imageRed = channels.at(2);
	merge(b,dst);
	merge(g,dst1);
	merge(r,dst2);
	merge(channels,merge_img);
	namedWindow("Img_R",CV_WINDOW_AUTOSIZE);
	namedWindow("Img_G",CV_WINDOW_AUTOSIZE);
	namedWindow("Img_B",CV_WINDOW_AUTOSIZE);
	namedWindow("Img",CV_WINDOW_AUTOSIZE);
	imshow("Img_B",dst);
	imshow("Img_G",dst1);
	imshow("Img_R",dst2);
	imshow("Img",merge_img);
	waitKey(0);
	//addWeighted(imageBlue(Rect(0,0,logoImage.cols,logoImage.rows)),0.5,logoImage,0.5,0.,imageBlue(Rect(0,0,logoImage.cols,logoImage.rows)));  




}

下圖爲效果圖：