jashliao 用 VC++ 實現 fanfuhan OpenCV 教學008 ~ opencv-008-圖像顏色通道(RGB)的分離(拆分)與合併(組合) [過濾特定顏色干擾訊號]

資料來源: https://fanfuhan.github.io/

https://fanfuhan.github.io/2019/03/24/opencv-008/

GITHUB: https://github.com/jash-git/fanfuhan_ML_OpenCV

https://github.com/jash-git/jashliao-implements-FANFUHAN-OPENCV-with-VC

★前言:

★主題:
    OPENCV 提供將彩色圖片各顏色通道拆分獨立與合併的函數，其函數條列如下:

        split(src, mv);
        merge(mv, dst2);
   

★C++

// VC_FANFUHAN_OPENCV008.cpp : 定義主控台應用程式的進入點。
//
/*
// Debug | x32
通用屬性
| C/C++
|	| 一般
|		| 其他 Include 目錄 -> C:\opencv\build\include
|
| 連結器
| 	|一一般
|		|  其他程式庫目錄 -> C:\opencv\build\x64\vc15\lib
|
| 	|一輸入
|		| 其他相依性 -> opencv_world411d.lib;%(AdditionalDependencies)
// Releas | x64
組態屬性
| C/C++
|	| 一般
|		| 其他 Include 目錄 -> C:\opencv\build\include
|
| 連結器
| 	|一般
|		| 其他程式庫目錄 -> C:\opencv\build\x64\vc15\lib
|
| 	|一輸入
|		| 其他相依性 -> opencv_world411.lib;%(AdditionalDependencies)
*/
#include "stdafx.h"
#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>

using namespace std;
using namespace cv;

void pause()
{
	printf("Press Enter key to continue...");
	fgetc(stdin);
}
int main()
{
	Mat src = imread("../../images/baboon.jpg");
	if (src.empty()) {
		cout << "could not load image..." << endl;
		pause();
		return -1;
	}
	else
	{
		imshow("input", src);

		vector<Mat> mv; // mv用于存储图像分离后各通道像素
		Mat dst1, dst2, dst3;

		// 令蓝色通道为0
		split(src, mv);
		mv[0] = Scalar(0);
		merge(mv, dst1);
		imshow("blue == 0", dst1);

		// 令绿色通道为0
		split(src, mv);
		mv[1] = Scalar(0);
		merge(mv, dst2);
		imshow("green == 0", dst2);

		// 令红色通道为0
		split(src, mv);
		mv[2] = Scalar(0);
		merge(mv, dst3);
		imshow("red == 0", dst3);
		
		/*
		Mat dst4;
		subtract(src, dst3, dst4);//相減
		imshow("input - red", dst4);
		Mat dst5;
		bitwise_xor(src, dst3, dst5);//XOR運算
		imshow("input xor red", dst5);
		*/

		waitKey(0);
	}

    return 0;
}

★Python

import cv2 as cv

src = cv.imread("../images/baboon.jpg")
cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
cv.imshow("input", src)

# 蓝色通道为零
mv = cv.split(src)
mv[0][:, :] = 0
dst1 = cv.merge(mv)
cv.imshow("output1", dst1)

# 绿色通道为零
mv = cv.split(src)
mv[1][:, :] = 0
dst2 = cv.merge(mv)
cv.imshow("output2", dst2)

# 红色通道为零
mv = cv.split(src)
mv[2][:, :] = 0
dst3 = cv.merge(mv)
cv.imshow("output3", dst3)

cv.waitKey(0)
cv.destroyAllWindows()

★結果圖:

★延伸說明/重點回顧:

    OPENCV可以利用split加Scalar(0)將指定通道顏色值全部清空。