OpenCV——RGB三通道分离

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();

}

原图

R 通道

G 通道

B 通道