OpenCv 005---图像像素的算术操作

梦里梦外; 2021-12-01 11:38 384阅读 0赞

图像像素的四种算术运算：

1、加：add(src1, src2, addResult);

2、减：subtract(src1, src2, subResult);

3、乘：multiply(src1, src2, mulResult);

4、除：divide(src1, src2, divResult);

还可以使用以下方式进行：像素之间的 加、减、乘法

saturateResult.at<Vec3b>(row, col)\[0\] = saturate\_cast<uchar>(b1 \* b2);

saturateResult.at<Vec3b>(row, col)\[1\] = saturate\_cast<uchar>(g1 \* g2);

saturateResult.at<Vec3b>(row, col)\[2\] = saturate\_cast<uchar>(r1 \* r2);

#include "opencv2\opencv.hpp"
    #include <iostream>
    
    using namespace std;
    using namespace cv;
    
    int main(int argv, char** argc)
    {
        Mat src1 = imread("G:\\CVworkstudy\\program_wwx\\研习社140课时\\ZhaiZhigang140\\Blender_Suzanne1.jpg");
        Mat src2 = imread("G:\\CVworkstudy\\program_wwx\\研习社140课时\\ZhaiZhigang140\\Blender_Suzanne2.jpg");
    
        if (src1.empty()||src2.empty())
        {
            printf("Could not load image src1 or src2...\n");
            return -1;
        }
        Mat addResult = Mat::zeros(src1.size(), src1.type());
        add(src1, src2, addResult);
        imshow("addResult", addResult);
    
        Mat subResult = Mat::zeros(src1.size(), src1.type());
        subtract(src1, src2, subResult);
        imshow("subResult", subResult);
    
        Mat mulResult = Mat::zeros(src1.size(), src1.type());
        multiply(src1, src2, mulResult);
        imshow("mulResult", mulResult);
    
        Mat divResult = Mat::zeros(src1.size(), src1.type());
        divide(src1, src2, divResult);
        imshow("divResult", divResult);
    
        int b1 = 0, g1 = 0, r1 = 0;
        int b2 = 0, g2 = 0, r2 = 0;
        int b = 0, g = 0, r = 0;
        int height = src1.rows;
        int width = src1.cols;
    
        Mat saturateResult = Mat::zeros(src1.size(), src1.type());
        for (int row = 0; row < height; row++){
            for (int col = 0; col < width; col++) {
                b1 = src1.at<Vec3b>(row, col)[0];
                g1 = src1.at<Vec3b>(row, col)[1];
                r1 = src1.at<Vec3b>(row, col)[2];
    
                b2 = src2.at<Vec3b>(row, col)[0];
                g2 = src2.at<Vec3b>(row, col)[1];
                r2 = src2.at<Vec3b>(row, col)[2];
                saturateResult.at<Vec3b>(row, col)[0] = saturate_cast<uchar>(b1 * b2);
                saturateResult.at<Vec3b>(row, col)[1] = saturate_cast<uchar>(g1 * g2);
                saturateResult.at<Vec3b>(row, col)[2] = saturate_cast<uchar>(r1 * r2);
            }
        }
        imshow("saturateResult", saturateResult);
        
        waitKey(0);
        return 0;
    }

src1

![1321981-20190626224013196-818134000.jpg][]

src2

![1321981-20190626224114306-878392003.jpg][]

运行结果：

相加：

![1321981-20190626225527059-562524597.png][]

相减：

![1321981-20190626230714761-162922982.png][]

相乘：

![1321981-20190626225651542-1950614594.png][]

相除：

![1321981-20190626225730697-1957525534.png][]

saturateResult：（相乘）

![1321981-20190626230659442-1338511452.png][]

转载于:https://www.cnblogs.com/Vince-Wu/p/11093958.html

[1321981-20190626224013196-818134000.jpg]: /images/20211201/0e965f81ef7d4d25a5aadff0cfbb180b.png
[1321981-20190626224114306-878392003.jpg]: /images/20211201/c5d7de60258f45a289933fff54bd2b53.png
[1321981-20190626225527059-562524597.png]: /images/20211201/86d97fb076fb49e29df9e773d23918e5.png
[1321981-20190626230714761-162922982.png]: /images/20211201/e34dfb5319164f3db9d3e6c108516733.png
[1321981-20190626225651542-1950614594.png]: /images/20211201/429fd7035f884c0194637c17b8999abd.png
[1321981-20190626225730697-1957525534.png]: /images/20211201/5a865cc5ac5c4bf38cac1d8589dbef0a.png
[1321981-20190626230659442-1338511452.png]: /images/20211201/7019edf13b0d449b8aee52b875da7590.png