OpenCV3之——多通道图像混合示例

        我们把多通道混合的实现代码封装在了名为MultiChannelBlending()函数中，详细代码如下：

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
using namespace std;
using namespace cv;

//全局函数声明
bool MultiChannelBlending();

int main(int argc, char** argv) {
	system("color 5A");
	if (MultiChannelBlending()) {
		cout << endl << "\n运行成功，得出了需要的图像！";
	}
	waitKey(0);
	return 0;
}

//------------------MultiChannelBlending()函数--------------
bool MultiChannelBlending() {
	//定义相关变量
	Mat srcImage, logoImage;
	vector<Mat> channels;
	//-------------------蓝色通道部分------------------------
	Mat imageBlueChannel;
	logoImage = imread("dota_logo.jpg", 0);//logo灰度图
	srcImage = imread("dota_jugg.jpg");
	if (!logoImage.data) {
		cout << "读取logoImage错误！" << endl;
		return false;
	}
	if (!srcImage.data) {
		cout << "读取srcImage错误！" << endl;
		return false;
	}
	split(srcImage, channels);
	imageBlueChannel = channels.at(0);//蓝色通道ROI区域与logo线性混合再赋值到ROI区域
	addWeighted(imageBlueChannel(Rect(560, 240, logoImage.cols, logoImage.rows)), 1.0,
		logoImage, 0.5, 0,
		imageBlueChannel(Rect(560, 240, logoImage.cols, logoImage.rows)));
	//再将三个单通道重新合并成一个三通道
	merge(channels, srcImage);
	//显示效果图
	imshow("<1>游戏原画+logo蓝色通道", srcImage);

	//-------------------绿色通道部分------------------------
	Mat imageGreenChannel;
	logoImage = imread("dota_logo.jpg", 0);//logo灰度图
	srcImage = imread("dota_jugg.jpg");
	if (!logoImage.data) {
		cout << "读取logoImage错误！" << endl;
		return false;
	}
	if (!srcImage.data) {
		cout << "读取srcImage错误！" << endl;
		return false;
	}
	split(srcImage, channels);
	imageGreenChannel = channels.at(1);//绿色通道ROI区域与logo线性混合再赋值到ROI区域
	addWeighted(imageGreenChannel(Rect(560, 240, logoImage.cols, logoImage.rows)), 1.0,
		logoImage, 0.5, 0,
		imageGreenChannel(Rect(560, 240, logoImage.cols, logoImage.rows)));
	//再将三个单通道重新合并成一个三通道
	merge(channels, srcImage);
	//显示效果图
	imshow("<2>游戏原画+logo绿色通道", srcImage);

	//-------------------红色通道部分------------------------
	Mat imageRedChannel;
	logoImage = imread("dota_logo.jpg", 0);//logo灰度图
	srcImage = imread("dota_jugg.jpg");
	if (!logoImage.data) {
		cout << "读取logoImage错误！" << endl;
		return false;
	}
	if (!srcImage.data) {
		cout << "读取srcImage错误！" << endl;
		return false;
	}
	split(srcImage, channels);
	imageRedChannel = channels.at(2);//红色通道ROI区域与logo线性混合再赋值到ROI区域
	addWeighted(imageRedChannel(Rect(560, 240, logoImage.cols, logoImage.rows)), 1.0,
		logoImage, 0.5, 0,
		imageRedChannel(Rect(560, 240, logoImage.cols, logoImage.rows)));
	//再将三个单通道重新合并成一个三通道
	merge(channels, srcImage);
	//显示效果图
	imshow("<2>游戏原画+logo红色通道", srcImage);

	return true;
}

运行结果：