OpenCV学习笔记05_通道分离与融合(RGB通道为例)

#include <opencv.hpp>
#include <iostream>
#include<vector>
void main()
{
    
    

//RGB通道分离与融合

	cv::Mat dst,src, B, G, R;
	src = cv::imread("C:/Users/Administrator/Desktop/test.png", cv::IMREAD_COLOR);

	dst = src;
	//BGR通道测试
	cv::imshow("DST", dst);

	
	//创建3个Mat矩阵
	cv::Mat channels[3];
	//创建三个Mat类型的向量
/*	std::vector<cv::Mat> channels(3);*/

	//创建替代矩阵
	cv::Mat Zero = cv::Mat::zeros(cv::Size(dst.cols, dst.rows), CV_8UC1);//宽为列数,高为行数;

	//通道分离
	cv::split(dst, channels);

	//创建3个Mat向量作为B通道融合向量
	std::vector<cv::Mat> Bchannels(3);
	Bchannels[0].push_back(channels[0]);
	Bchannels[1].push_back(Zero);
	Bchannels[2].push_back(Zero);

	//通道融合
	cv::merge(Bchannels, B);
	cv::imshow("B", B);

	//Mat向量与Mat矩阵在merge的时候传入的参数不同
	cv::Mat Gchannels[3];	
	Gchannels[1].push_back(channels[1]);
	Gchannels[0].push_back(Zero);
	Gchannels[2].push_back(Zero);
	cv::merge(Gchannels,3, G);
	cv::imshow("G", G);
	std::vector<cv::Mat> Rchannels(3);
	Rchannels[2].push_back(channels[2]);
	Rchannels[1].push_back(Zero);
	Rchannels[0].push_back(Zero);
	cv::merge(Rchannels, R);
	//cv::namedWindow("R", cv::WINDOW_NORMAL);		//WINDOW_NORMAL	显示图像后,允许用户随意调整窗口大小
	/*cv::namedWindow("R",cv::WINDOW_AUTOSIZE);*/   //WINDOW_AUTOSIZE	根据图像大小显示窗口,不允许用户调整大小													/*cv::namedWindow("R", cv::WINDOW_FREERATIO);*/	//WINDOW_FREERATIO	窗口大小自适应比例
	/*cv::namedWindow("R", cv::WINDOW_KEEPRATIO);		//WINDOW_KEEPRATIO	保持图像的比例*/
	cv::imshow("R", R);

	

//HSV通道分离

	cv::Mat hsv,H,S,V;
	cv::cvtColor(src, hsv, cv::COLOR_RGB2HSV/*_FULL*/);
	
	imshow("HSV", hsv);

	std::vector<cv::Mat> hsvchannels(3);

	cv::split(hsv,hsvchannels);

	imshow("V", hsvchannels[0]);
	imshow("S", hsvchannels[1]);
	imshow("H", hsvchannels[2]);

	cv::waitKey(0);
}


猜你喜欢

转载自blog.csdn.net/qq_40595787/article/details/120335442