OpenCV(6): 图像线性混合

我不是女神ヾ 2023-02-20 06:50 121阅读 0赞

**注：转载请标明原文出处链接：**https://xiongyiming.blog.csdn.net/article/details/106938682

图像线性混合的理论表达式为：

d s t ( x ) = f ( s r c 1 ( x ) ⋅ a l p h a + s r c 1 ( x ) ⋅ b e t a ) + g a m m a dst(x) = f\\left( \{src1(x) \\cdot alpha + src1(x) \\cdot beta\} \\right) + gamma dst(x)=f(src1(x)⋅alpha\+src1(x)⋅beta)\+gamma

> OpenCV中线性混合使用 **addWeighted()** 函数，其用法为：  
> **addWeighted(src1, alpha, src2, beta, gamma, dst);**  
>   
> 其中各个参数分别为：  
> 参数src1：输入图像src1  
> 参数alpha：输入图像src1的alpha值  
> 参数src2：输入图像 src2  
> 参数beta：输入图像src2的beta值  
> 参数gamma：gamma值  
> 参数dst：输出混合图像

**注：两张图像的大小和类型必须一致才可以进行混合操作。**

**代码示例**

#include <opencv2/core/core.hpp> 
    #include <opencv2/imgcodecs.hpp> 
    #include <opencv2/opencv.hpp>
    #include <opencv2/highgui/highgui.hpp>
    #include <opencv2/highgui/highgui_c.h>
    
    #include <iostream>
    #include <math.h>
    
    
    
    
    using namespace cv;
    using namespace std;
    int main(int argc, char** args) {
        
    	Mat src = imread("ZXP1.jpg", IMREAD_UNCHANGED);
    	if (src.empty()) {
        
    		cout << "could not find the image resource..." << std::endl;
    		return -1;
    	}
    	namedWindow("Original Image", CV_WINDOW_AUTOSIZE);
    	imshow("Original Image", src);
    
    
    	
    	Mat dst;
    	dst.create(src.size(), src.type());//或者用dst = Mat(src.size(), src.type());
    	int height = src.rows;
    	int width = src.cols;
    	
    	for (int row = 0; row < height; row++)
    	{
        
    		for (int col = 0; col < width; col++)
    		{
        
    
    				int b = src.at<Vec3b>(row, col)[0];
    				int g = src.at<Vec3b>(row, col)[1];
    				int r = src.at<Vec3b>(row, col)[2];
    
    				dst.at<Vec3b>(row, col)[0] = b - 50;
    				dst.at<Vec3b>(row, col)[1] = g ;
    				dst.at<Vec3b>(row, col)[2] = r + 50;
    		
    		}
    	}
    	
    
    	namedWindow("Output Image_1", CV_WINDOW_AUTOSIZE);
    	imshow("Output Image_1", dst);
    	
    	Mat dst_mixed;
    	double alpha = 0.5;
    	if (src.rows == dst.rows && src.cols == dst.cols && src.type() == dst.type())
    	{
        
    		addWeighted(src, alpha, dst, (1.0 - alpha), 0.0, dst_mixed); //图像混合
    		namedWindow("Output Image_2", CV_WINDOW_AUTOSIZE);
    		imshow("Output Image_2", dst_mixed);
    
    	}
    
    	else
    	{
        
    		cout << "图像尺寸不一致" << endl;
    		return -1;
    	}
    
    
    	waitKey(0);
    
    	return 0;
    }

**运行结果**

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3phaXNodWl5aWZhbmd4eW0_size_16_color_FFFFFF_t_70_pic_center]

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# 参考资料 #

\[1\] [https://edu.51cto.com/course/7521.html?source=so][https_edu.51cto.com_course_7521.html_source_so]

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3phaXNodWl5aWZhbmd4eW0_size_16_color_FFFFFF_t_70_pic_center]: https://img-blog.csdnimg.cn/20200624103342494.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3phaXNodWl5aWZhbmd4eW0=,size_16,color_FFFFFF,t_70#pic_center
[https_edu.51cto.com_course_7521.html_source_so]: https://edu.51cto.com/course/7521.html?source=so