OpenCV——RGB三通道分离

时间：2014-10-18 22:25:25 阅读：496 评论：0 收藏：0 [点我收藏+]

opencv 和 matlab 在处理彩色图像的时候，通道的存储顺序是不同的。

matlab 的排列顺序是R,G,B；而在opencv中，排列顺序是B,G,R。

下面通过一个小程序看看opencv中的三个通道。

// PS_Algorithm.h

#ifndef PS_ALGORITHM_H_INCLUDED
#define PS_ALGORITHM_H_INCLUDED

#include <iostream>
#include <string>
#include "cv.h"
#include "highgui.h"
#include "cxmat.hpp"
#include "cxcore.hpp"

using namespace std;
using namespace cv;

#endif // PS_ALGORITHM_H_INCLUDED

// Public_Function.h

#ifndef PUBLIC_FUNCTION_H_INCLUDED
#define PUBLIC_FUNCTION_H_INCLUDED

#include <iostream>
#include <string>
#include "cv.h"
#include "highgui.h"
#include "cxmat.hpp"
#include "cxcore.hpp"

using namespace std;
using namespace cv;

void Show_Image(Mat&, const string &);
void Save_Image(Mat&, const string &);

#endif // PUBLIC_FUNCTION_H_INCLUDED

/*
The program will Divides multi-channel array
into several single-channel arrays.
We can get the single-channel from a multi-channel
image.
*/

#include "PS_Algorithm.h"
#include "Public_Function.h"
using namespace std;
using namespace cv;

int main()
{
string Img_name("4.jpg");
Mat Image_in;
Image_in=imread(Img_name);
Show_Image(Image_in, Img_name);

// convert the type of the image.
// from the uchar to the float.
Mat Image_2(Image_in.size(), CV_32FC3);
Image_in.convertTo( Image_2, CV_32FC3);

Mat r(Image_in.rows, Image_in.cols, CV_32FC1);
Mat g(Image_in.rows, Image_in.cols, CV_32FC1);
Mat b(Image_in.rows, Image_in.cols, CV_32FC1);

Mat out[]={b,g,r};
split(Image_2, out);

// 三个通道的顺序是 b,g,r.
b=out[0]/255;
g=out[1]/255;
r=out[2]/255;

Show_Image(g, "g");

waitKey();
}