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title: opencv基础操作
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title: opencv应用-基础操作
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categories:
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- 技术
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series: opencv
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source/_posts/2026/2026.3/opencv-2.md
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source/_posts/2026/2026.3/opencv-2.md
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title: opencv应用-算术运算
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categories:
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- 技术
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series: opencv
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tags:
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- opencv
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abbrlink: b559997d
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summary: >-
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这篇文章介绍了如何使用OpenCV进行图像的加法运算。首先,通过包含OpenCV和iostream头文件,并使用std命名空间,开始编写代码。主函数中,读取两张图片,检查是否成功加载,并确保它们的尺寸相同。如果尺寸不同,将第二张图片调整为与第一张相同的大小。然后,调用add函数对两幅图片进行加法运算,并将结果存储在result矩阵中。最后,显示原始图片和加法运算的结果,并等待按键关闭窗口。代码已上传至自建的git仓库。
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date: 2026-03-17 13:13:08
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---
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opencv对图像的算数运算,感觉都大同小异,分为以下几种:加减乘除和位运算。
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| 函数 | 功能 | 应用场景 |
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|-------------------|--------|------------|
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| cv2.bitwise_and() | 按位与操作 | 掩码操作、图像分割 |
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| cv2.bitwise_or() | 按位或操作 | 图像叠加 |
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| cv2.bitwise_not() | 按位取反操作 | 图像反色 |
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| cv2.bitwise_xor() | 按位异或操作 | 图像差异检测 |
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因为感觉都差不多,所以只把加法运算代码搬过来
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```cpp
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// 加法
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#include <opencv2/opencv.hpp>
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#include <iostream>
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using namespace std;
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using namespace cv;
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int main()
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{
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string path1 = "../img/2.jpg";
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string path2 = "../img/3.jpg";
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Mat img1 = imread(path1);
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Mat img2 = imread(path2);
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if (img1.empty() || img2.empty())
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{
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cout << "无法读取图片,请检查路径!" << endl;
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return -1;
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}
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if (img1.size() != img2.size())
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{
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cout << "尺寸不一致,正在自动调整 img2 的尺寸..." << endl;
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// 将 img2 缩放到与 img1 相同的尺寸
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resize(img2, img2, img1.size());
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}
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Mat result;
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add(img1, img2, result);
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imshow("Original Image 1", img1);
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imshow("Original Image 2", img2);
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imshow("Add Result", result);
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// 等待按键后关闭窗口
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waitKey(0);
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destroyAllWindows();
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return 0;
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}
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```
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另外,把代码上传到了自建的git中
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{% link opencv-learning,opencv-learning,https://git.biss.click/biss/opencv-learning/src/branch/master/Arithmetic%20operations %}
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