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post-meta-icon"></i><span class="post-meta-label">发表于</span><time class="post-meta-date-created" datetime="2026-03-15T01:56:51.000Z" title="发表于 2026-03-15 09:56:51">2026-03-15</time><span class="post-meta-separator">|</span><i class="fas fa-history fa-fw post-meta-icon"></i><span class="post-meta-label">更新于</span><time class="post-meta-date-updated" datetime="2026-04-11T11:56:17.363Z" title="更新于 2026-04-11 19:56:17">2026-04-11</time></span><span class="post-meta-categories"><span class="post-meta-separator">|</span><i class="fas fa-inbox fa-fw post-meta-icon"></i><a class="post-meta-categories" href="/categories/technology/">技术</a></span></div><div class="meta-secondline"><span class="post-meta-separator">|</span><span class="post-meta-wordcount"><i class="far fa-file-word fa-fw post-meta-icon"></i><span class="post-meta-label">总字数:</span><span class="word-count">652</span><span class="post-meta-separator">|</span><i class="far fa-clock fa-fw post-meta-icon"></i><span class="post-meta-label">阅读时长:</span><span>3分钟</span></span><span class="post-meta-separator">|</span><span id="" data-flag-title=""><i class="far fa-eye fa-fw post-meta-icon"></i><span class="post-meta-label">浏览量:</span><span id="twikoo_visitors"><i class="fa-solid fa-spinner fa-spin"></i></span></span><span class="post-meta-separator">|</span><span class="post-meta-commentcount"><i class="far fa-comments fa-fw post-meta-icon"></i><span class="post-meta-label">评论数:</span><a href="/posts/e8f95ead/#post-comment"><span id="twikoo-count"><i class="fa-solid fa-spinner fa-spin"></i></span></a></span></div></div></div></header><main class="layout" id="content-inner"><div id="post"><article class="container post-content" id="article-container"><div class="ai-summary"><div class="ai-explanation" style="display: block;" data-summary="这篇文章介绍了使用C++和OpenCV库进行图像处理的基础操作，包括图片的读取与展示、像素的读取与修改、图像的基本变换（缩放、旋转、平移、翻转）、以及图像通道的分离与合并。文章详细讲解了每个操作的代码实现，并展示了如何通过OpenCV库提供的函数来完成这些任务。这对于初学者来说是非常有用的，因为它帮助他们理解如何使用OpenCV进行图像处理。">AI正在绞尽脑汁想思路ING···</div><div class="ai-title"> <div class="ai-title-left"> <i class="fa-brands fa-slack"></i><div class="ai-title-text">BiのAI摘要</div></div><div class="ai-tag" id="ai-tag">HunYuan-Lite</div></div></div><div id="post-outdate-notice" data="{"limitDay":365,"messagePrev":"It has been","messageNext":"days since the last update, the content of the article may be outdated.","postUpdate":"2026-04-11 19:56:17"}" hidden=""></div><p>这里用C++进行编程，发现菜鸟教程只有python的版本，那就记录一下。</p>
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<h1 id="图片读取与展示"><a href="#图片读取与展示" class="headerlink" title="图片读取与展示"></a>图片读取与展示</h1><figure class="highlight cpp"><table><tbody><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">// 读取图像</span></span><br><span class="line"><span class="meta">#<span class="keyword">include</span><span class="string"><opencv2/opencv.hpp></span></span></span><br><span class="line"><span class="meta">#<span class="keyword">include</span><span class="string"><iostream></span></span></span><br><span class="line"></span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> std;</span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> cv;</span><br><span class="line"></span><br><span class="line"><span class="function"><span class="type">int</span> <span class="title">main</span><span class="params">()</span></span>{</span><br><span class="line"> Mat src = <span class="built_in">imread</span>(<span class="string">"../img/1.png"</span>);</span><br><span class="line"> <span class="built_in">imshow</span>(<span class="string">"input"</span>,src);</span><br><span class="line"> <span class="built_in">waitKey</span>(<span class="number">0</span>);</span><br><span class="line"> <span class="built_in">destroyAllWindows</span>();</span><br><span class="line"> <span class="keyword">return</span> <span class="number">0</span>;</span><br><span class="line">}</span><br></pre></td></tr></tbody></table></figure>
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<h1 id="图像基本操作"><a href="#图像基本操作" class="headerlink" title="图像基本操作"></a>图像基本操作</h1><h2 id="读取像素"><a href="#读取像素" class="headerlink" title="读取像素"></a>读取像素</h2><p>需要用到三维向量数组Vect3b，这里需要注意的是，Opencv是BGR而不是我们常用的RGB。</p>
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<figure class="highlight cpp"><table><tbody><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">// 读取像素</span></span><br><span class="line"><span class="meta">#<span class="keyword">include</span><span class="string"><opencv2/opencv.hpp></span></span></span><br><span class="line"><span class="meta">#<span class="keyword">include</span><span class="string"><iostream></span></span></span><br><span class="line"></span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> std;</span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> cv;</span><br><span class="line"></span><br><span class="line"><span class="function"><span class="type">int</span> <span class="title">main</span><span class="params">()</span></span></span><br><span class="line"><span class="function"></span>{</span><br><span class="line"> string image_path = <span class="string">"../img/1.png"</span>;</span><br><span class="line"> Mat image = <span class="built_in">imread</span>(image_path);</span><br><span class="line"></span><br><span class="line"> <span class="keyword">if</span> (image.<span class="built_in">empty</span>()) {</span><br><span class="line"> cout << <span class="string">"错误：无法加载图像，请检查路径是否正确。"</span> << endl;</span><br><span class="line"> <span class="keyword">return</span> <span class="number">-1</span>;</span><br><span class="line"> }</span><br><span class="line"></span><br><span class="line"> Vec3b pixel_value = image.<span class="built_in">at</span><Vec3b>(<span class="number">100</span>, <span class="number">150</span>);</span><br><span class="line"></span><br><span class="line"> cout << <span class="string">"B: "</span> << (<span class="type">int</span>)pixel_value[<span class="number">0</span>] << <span class="string">" "</span></span><br><span class="line"> << <span class="string">"G: "</span> << (<span class="type">int</span>)pixel_value[<span class="number">1</span>] << <span class="string">" "</span></span><br><span class="line"> << <span class="string">"R: "</span> << (<span class="type">int</span>)pixel_value[<span class="number">2</span>] << endl;</span><br><span class="line"></span><br><span class="line">}</span><br></pre></td></tr></tbody></table></figure>
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<h2 id="修改像素"><a href="#修改像素" class="headerlink" title="修改像素"></a>修改像素</h2><figure class="highlight cpp"><table><tbody><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">// 修改像素</span></span><br><span class="line"><span class="meta">#<span class="keyword">include</span><span class="string"><opencv2/opencv.hpp></span></span></span><br><span class="line"><span class="meta">#<span class="keyword">include</span><span class="string"><iostream></span></span></span><br><span class="line"></span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> std;</span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> cv;</span><br><span class="line"></span><br><span class="line"><span class="function"><span class="type">int</span> <span class="title">main</span><span class="params">()</span></span></span><br><span class="line"><span class="function"></span>{</span><br><span class="line"> string image_path = <span class="string">"../img/1.png"</span>;</span><br><span class="line"> Mat image = <span class="built_in">imread</span>(image_path);</span><br><span class="line"> Mat result = image.<span class="built_in">clone</span>();</span><br><span class="line"></span><br><span class="line"> <span class="keyword">if</span> (image.<span class="built_in">empty</span>()) {</span><br><span class="line"> cout << <span class="string">"错误：无法加载图像，请检查路径是否正确。"</span> << endl;</span><br><span class="line"> <span class="keyword">return</span> <span class="number">-1</span>;</span><br><span class="line"> }</span><br><span class="line"></span><br><span class="line"> <span class="function">Rect <span class="title">roi_rect</span><span class="params">(<span class="number">0</span>, <span class="number">0</span>, <span class="number">100</span>, <span class="number">100</span>)</span></span>;</span><br><span class="line"> Mat roi = <span class="built_in">result</span>(roi_rect);</span><br><span class="line"> roi.<span class="built_in">setTo</span>(<span class="built_in">Scalar</span>(<span class="number">0</span>, <span class="number">255</span>, <span class="number">0</span>));</span><br><span class="line"> <span class="built_in">imshow</span>(<span class="string">"Original (Unchanged)"</span>, image);</span><br><span class="line"> <span class="built_in">imshow</span>(<span class="string">"Modified Copy"</span>, result);</span><br><span class="line"> <span class="built_in">waitKey</span>(<span class="number">0</span>);</span><br><span class="line"></span><br><span class="line"> <span class="keyword">return</span> <span class="number">0</span>;</span><br><span class="line"></span><br><span class="line">}</span><br></pre></td></tr></tbody></table></figure>
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<figure class="highlight cpp"><table><tbody><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br></pre></td><td class="code"><pre><span class="line"><span class="meta">#<span class="keyword">include</span> <span class="string"><opencv2/opencv.hpp></span></span></span><br><span class="line"><span class="meta">#<span class="keyword">include</span> <span class="string"><iostream></span></span></span><br><span class="line"></span><br><span class="line"><span class="function"><span class="type">int</span> <span class="title">main</span><span class="params">()</span> </span>{</span><br><span class="line"> <span class="comment">// 读取图像</span></span><br><span class="line"> cv::Mat img = cv::<span class="built_in">imread</span>(<span class="string">"../img/1.png"</span>);</span><br><span class="line"> <span class="keyword">if</span> (img.<span class="built_in">empty</span>()) {</span><br><span class="line"> std::cout << <span class="string">"无法读取图像"</span> << std::endl;</span><br><span class="line"> <span class="keyword">return</span> <span class="number">-1</span>;</span><br><span class="line"> }</span><br><span class="line"></span><br><span class="line"> <span class="comment">// 1. 缩放</span></span><br><span class="line"> cv::Mat resized_img;</span><br><span class="line"> cv::<span class="built_in">resize</span>(img, resized_img, cv::<span class="built_in">Size</span>(<span class="number">200</span>, <span class="number">200</span>));</span><br><span class="line"> cv::<span class="built_in">imshow</span>(<span class="string">"resized_img"</span>, resized_img);</span><br><span class="line"></span><br><span class="line"> <span class="comment">// 2. 旋转</span></span><br><span class="line"> cv::Mat rotated_img, M_rot;</span><br><span class="line"> <span class="function">cv::Point2f <span class="title">center</span><span class="params">(img.cols / <span class="number">2.0</span>, img.rows / <span class="number">2.0</span>)</span></span>;</span><br><span class="line"> M_rot = cv::<span class="built_in">getRotationMatrix2D</span>(center, <span class="number">45</span>, <span class="number">1.0</span>);</span><br><span class="line"> cv::<span class="built_in">warpAffine</span>(img, rotated_img, M_rot, img.<span class="built_in">size</span>());</span><br><span class="line"> cv::<span class="built_in">imshow</span>(<span class="string">"rotated_img"</span>, rotated_img);</span><br><span class="line"></span><br><span class="line"> <span class="comment">// 3. 平移</span></span><br><span class="line"> cv::Mat translated_img;</span><br><span class="line"> cv::Mat M_trans = (cv::<span class="built_in">Mat_</span><<span class="type">float</span>>(<span class="number">2</span>, <span class="number">3</span>) << <span class="number">1</span>, <span class="number">0</span>, <span class="number">100</span>, <span class="number">0</span>, <span class="number">1</span>, <span class="number">50</span>);</span><br><span class="line"> cv::<span class="built_in">warpAffine</span>(img, translated_img, M_trans, img.<span class="built_in">size</span>());</span><br><span class="line"> cv::<span class="built_in">imshow</span>(<span class="string">"translated_img"</span>, translated_img);</span><br><span class="line"></span><br><span class="line"> <span class="comment">// 4. 翻转</span></span><br><span class="line"> cv::Mat flipped_img;</span><br><span class="line"> cv::<span class="built_in">flip</span>(img, flipped_img, <span class="number">1</span>);</span><br><span class="line"> cv::<span class="built_in">imshow</span>(<span class="string">"flipped"</span>, flipped_img);</span><br><span class="line"></span><br><span class="line"> <span class="comment">// 显示结果</span></span><br><span class="line"> cv::<span class="built_in">imshow</span>(<span class="string">"Original"</span>, img);</span><br><span class="line"> cv::<span class="built_in">waitKey</span>(<span class="number">0</span>);</span><br><span class="line"></span><br><span class="line"> <span class="keyword">return</span> <span class="number">0</span>;</span><br><span class="line">}</span><br></pre></td></tr></tbody></table></figure>
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<figure class="highlight cpp"><table><tbody><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">// 图像通道分离与合并</span></span><br><span class="line"><span class="meta">#<span class="keyword">include</span><span class="string"><opencv2/opencv.hpp></span></span></span><br><span class="line"><span class="meta">#<span class="keyword">include</span><span class="string"><iostream></span></span></span><br><span class="line"></span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> std;</span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> cv;</span><br><span class="line"></span><br><span class="line"><span class="function"><span class="type">int</span> <span class="title">main</span><span class="params">()</span></span></span><br><span class="line"><span class="function"></span>{</span><br><span class="line"> string image_path = <span class="string">"../img/1.png"</span>;</span><br><span class="line"> Mat image = <span class="built_in">imread</span>(image_path);</span><br><span class="line"> Mat result = image.<span class="built_in">clone</span>();</span><br><span class="line"> <span class="comment">// 定义向量数组接收通道</span></span><br><span class="line"> vector<Mat> channels;</span><br><span class="line"> <span class="comment">// 拆分</span></span><br><span class="line"> <span class="built_in">split</span>(result,channels);</span><br><span class="line"></span><br><span class="line"> Mat b = channels[<span class="number">0</span>];</span><br><span class="line"> Mat g = channels[<span class="number">1</span>];</span><br><span class="line"> Mat r = channels[<span class="number">2</span>];</span><br><span class="line"></span><br><span class="line"> <span class="built_in">imshow</span>(<span class="string">"Blue Channel (Grayscale)"</span>, channels[<span class="number">0</span>]);</span><br><span class="line"> <span class="built_in">imshow</span>(<span class="string">"Green Channel (Grayscale)"</span>, channels[<span class="number">1</span>]);</span><br><span class="line"> <span class="built_in">imshow</span>(<span class="string">"Red Channel (Grayscale)"</span>, channels[<span class="number">2</span>]);</span><br><span class="line"></span><br><span class="line"> <span class="comment">// merge</span></span><br><span class="line"> Mat merged_img;</span><br><span class="line"> vector<cv::Mat> channels_to_merge;</span><br><span class="line"> channels_to_merge.<span class="built_in">push_back</span>(b);</span><br><span class="line"> channels_to_merge.<span class="built_in">push_back</span>(g);</span><br><span class="line"> channels_to_merge.<span class="built_in">push_back</span>(r);</span><br><span class="line"></span><br><span class="line"> <span class="built_in">merge</span>(channels_to_merge, merged_img);</span><br><span class="line"> <span class="built_in">imshow</span>(<span class="string">"merged"</span>,merged_img);</span><br><span class="line"></span><br><span class="line"> <span class="built_in">waitKey</span>(<span class="number">0</span>);</span><br><span class="line"></span><br><span class="line"> <span class="keyword">return</span>(<span class="number">0</span>);</span><br><span class="line">}</span><br></pre></td></tr></tbody></table></figure></article><div class="post-copyright"><div class="post-copyright__author"><span class="post-copyright-meta"><i class="fas fa-circle-user fa-fw"></i>文章作者: </span><span class="post-copyright-info"><a href="https://blog.biss.click">biss</a></span></div><div class="post-copyright__type"><span class="post-copyright-meta"><i class="fas fa-square-arrow-up-right fa-fw"></i>文章链接: 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})()</script></div></div><nav class="pagination-post" id="pagination"><a class="pagination-related" href="/posts/b559997d/" title="opencv应用-算术运算"><div class="cover" style="background: var(--default-bg-color)"></div><div class="info"><div class="info-1"><div class="info-item-1">上一篇</div><div class="info-item-2">opencv应用-算术运算</div></div><div class="info-2"><div class="info-item-1">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。 函数 功能 应用场景 cv2.bitwise_and() 按位与操作 掩码操作、图像分割 cv2.bitwise_or() 按位或操作 图像叠加 cv2.bitwise_not() 按位取反操作 图像反色 cv2.bitwise_xor() 按位异或操作 图像差异检测 因为感觉都差不多，所以只把加法运算代码搬过来 1234567891011121314151617181920212223242526272829303132333435363738394041// 加法#include <opencv2/opencv.hpp>#include <iostream>using namespace std;using namespace cv;int main(){ string path1 = "../img/2.jpg"; string path2 = "../img/3.jpg"; ...</div></div></div></a><a class="pagination-related" href="/posts/6e3332b/" title="配置opencv"><img class="cover" src="https://pic.biss.click/image/c177a2e2-63af-4582-98b6-e95726f6cdc5.webp" onerror="onerror=null;src='/img/404.jpg'" alt="cover of next post"><div class="info text-right"><div class="info-1"><div class="info-item-1">下一篇</div><div class="info-item-2">配置opencv</div></div><div class="info-2"><div class="info-item-1">引言不知道为什么我们专业看起来与计算机八竿子打不着，竟然要学opencv，那就来记录一下吧！ Ubuntu 篇Ubuntu因为有完善的包管理体系，所以配环境相对简单。 先安装vscode，当然也可以不安装，只是个编辑器； 🪧引用站外地址，不保证站点的可用性和安全性 vscode Microsoft 到这里下载deb格式的软件包，然后dpkg安装即可。可以安装这些扩展： 接下来安装编译器 12345678910# 先更新软件包apt updateapt upgrade -y# 安装C/C++编译器apt install gcc g++# 安装opencvapt install -y mesa-utilsapt install -y libopencv-devapt install -y opencvapt install -y python3-opencv #Python opencv 然后就可以了。 Windows ...</div></div></div></a></nav><div class="relatedPosts"><div class="headline"><i class="fas fa-thumbs-up fa-fw"></i><span>相关推荐</span></div><div class="relatedPosts-list"><a class="pagination-related" href="/posts/6e3332b/" title="配置opencv"><img class="cover" src="https://pic.biss.click/image/c177a2e2-63af-4582-98b6-e95726f6cdc5.webp" alt="cover"><div class="info text-center"><div class="info-1"><div class="info-item-1"><i class="far fa-calendar-alt fa-fw"></i> 2026-03-14</div><div class="info-item-2">配置opencv</div></div><div class="info-2"><div class="info-item-1">引言不知道为什么我们专业看起来与计算机八竿子打不着，竟然要学opencv，那就来记录一下吧！ Ubuntu 篇Ubuntu因为有完善的包管理体系，所以配环境相对简单。 先安装vscode，当然也可以不安装，只是个编辑器； 🪧引用站外地址，不保证站点的可用性和安全性 vscode Microsoft 到这里下载deb格式的软件包，然后dpkg安装即可。可以安装这些扩展： 接下来安装编译器 12345678910# 先更新软件包apt updateapt upgrade -y# 安装C/C++编译器apt install gcc g++# 安装opencvapt install -y mesa-utilsapt install -y libopencv-devapt install -y opencvapt install -y python3-opencv #Python opencv 然后就可以了。 Windows ...</div></div></div></a><a class="pagination-related" href="/posts/b559997d/" title="opencv应用-算术运算"><div class="cover" style="background: var(--default-bg-color)"></div><div class="info text-center"><div class="info-1"><div class="info-item-1"><i class="far fa-calendar-alt fa-fw"></i> 2026-03-17</div><div class="info-item-2">opencv应用-算术运算</div></div><div class="info-2"><div class="info-item-1">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。 函数 功能 应用场景 cv2.bitwise_and() 按位与操作 掩码操作、图像分割 cv2.bitwise_or() 按位或操作 图像叠加 cv2.bitwise_not() 按位取反操作 图像反色 cv2.bitwise_xor() 按位异或操作 图像差异检测 因为感觉都差不多，所以只把加法运算代码搬过来 1234567891011121314151617181920212223242526272829303132333435363738394041// 加法#include <opencv2/opencv.hpp>#include <iostream>using namespace std;using namespace cv;int main(){ string path1 = "../img/2.jpg"; string path2 = "../img/3.jpg"; ...</div></div></div></a></div></div><hr class="custom-hr"><div id="post-comment"><div class="comment-head"><div class="comment-headline"><i class="fas fa-comments fa-fw"></i><span> 评论</span></div></div><div class="comment-wrap"><div><div id="twikoo-wrap"></div></div></div></div></div><div class="aside-content" id="aside-content"><div class="card-widget card-info text-center"><div class="avatar-img"><img src="https://free.picui.cn/free/2025/08/10/689845496a283.png" onerror="this.onerror=null;this.src='/img/friend_404.gif'" alt="avatar"></div><div class="author-info-name">biss</div><div class="author-info-description"></div><div class="site-data"><a href="/archives/"><div class="headline">文章</div><div class="length-num">38</div></a><a href="/tags/"><div class="headline">标签</div><div class="length-num">12</div></a><a href="/categories/"><div class="headline">分类</div><div class="length-num">6</div></a></div><a id="card-info-btn" target="_blank" rel="noopener" href="https://github.com/bishshi"><i class="fab fa-github"></i><span>Follow Me</span></a><div class="card-info-social-icons"><a class="social-icon" href="https://github.com/bishshi" target="_blank" title="Github"><i class="fab fa-github" style="color: #24292e;"></i></a><a class="social-icon" href="mailto:bishsh2006@gmail.com" target="_blank" title="Email"><i class="fas fa-envelope" style="color: #4a7dbe;"></i></a></div></div><div class="card-widget card-announcement"><div class="item-headline"><i class="fas fa-bullhorn fa-shake"></i><span>公告</span></div><div class="announcement_content"></div><div id="welcome-ip-location-info"></div></div><div class="card-widget" id="card-poem"><div id="poem_sentence"></div><div id="poem_info"><div id="poem_dynasty"></div><div id="poem_author"></div></div></div><script src="https://cdn.liumingye.cn/npm/js-heo@1.0.11/poem/jinrishici.js" charset="utf-8"></script><script type="text/javascript">jinrishici.load(function(result) {
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});</script><div class="sticky_layout"><div class="card-widget" id="card-toc"><div class="item-headline"><i class="fas fa-stream"></i><span>目录</span><span class="toc-percentage"></span></div><div class="toc-content"><ol class="toc"><li class="toc-item toc-level-1"><a class="toc-link" href="#%E5%9B%BE%E7%89%87%E8%AF%BB%E5%8F%96%E4%B8%8E%E5%B1%95%E7%A4%BA"><span class="toc-number">1.</span> <span class="toc-text">图片读取与展示</span></a></li><li class="toc-item toc-level-1"><a class="toc-link" href="#%E5%9B%BE%E5%83%8F%E5%9F%BA%E6%9C%AC%E6%93%8D%E4%BD%9C"><span class="toc-number">2.</span> <span class="toc-text">图像基本操作</span></a><ol class="toc-child"><li class="toc-item toc-level-2"><a class="toc-link" href="#%E8%AF%BB%E5%8F%96%E5%83%8F%E7%B4%A0"><span class="toc-number">2.1.</span> <span class="toc-text">读取像素</span></a></li><li class="toc-item toc-level-2"><a class="toc-link" href="#%E4%BF%AE%E6%94%B9%E5%83%8F%E7%B4%A0"><span class="toc-number">2.2.</span> <span class="toc-text">修改像素</span></a></li></ol></li></ol></div></div><div class="card-widget card-post-series"><div class="item-headline"><i class="fa-solid fa-layer-group"></i><span>系列文章</span></div><div class="aside-list"><div class="aside-list-item no-cover"><div class="content"><a class="title" href="/posts/b559997d/" title="opencv应用-算术运算">opencv应用-算术运算</a><time datetime="2026-03-17T05:13:08.000Z" title="发表于 2026-03-17 13:13:08">2026-03-17</time></div></div><div class="aside-list-item no-cover"><div class="content"><a class="title" href="/posts/e8f95ead/" title="opencv应用-基础操作">opencv应用-基础操作</a><time datetime="2026-03-15T01:56:51.000Z" title="发表于 2026-03-15 09:56:51">2026-03-15</time></div></div><div class="aside-list-item"><a class="thumbnail" href="/posts/6e3332b/" title="配置opencv"><img src="https://pic.biss.click/image/c177a2e2-63af-4582-98b6-e95726f6cdc5.webp" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="配置opencv"></a><div class="content"><a class="title" href="/posts/6e3332b/" title="配置opencv">配置opencv</a><time datetime="2026-03-14T03:48:36.000Z" title="发表于 2026-03-14 11:48:36">2026-03-14</time></div></div></div></div><div class="card-widget card-recent-post"><div class="item-headline"><i class="fas fa-history"></i><span>最新文章</span></div><div class="aside-list"><div class="aside-list-item"><a class="thumbnail" href="/posts/7207243b/" title="OpenGL-直线的扫描转换"><img src="https://pic.biss.click/image/c5457adc-214c-4a18-9aa6-43fbc0bfc2f4.webp" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="OpenGL-直线的扫描转换"></a><div class="content"><a class="title" href="/posts/7207243b/" title="OpenGL-直线的扫描转换">OpenGL-直线的扫描转换</a><time datetime="2026-04-11T11:01:02.000Z" title="发表于 2026-04-11 19:01:02">2026-04-11</time></div></div><div class="aside-list-item"><a class="thumbnail" href="/posts/437a5198/" title="OpenGL-基础程序"><img src="https://pic.biss.click/image/2fcb9566-f7f6-4132-81cb-4cd646967519.webp" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="OpenGL-基础程序"></a><div class="content"><a class="title" href="/posts/437a5198/" title="OpenGL-基础程序">OpenGL-基础程序</a><time datetime="2026-04-11T10:20:34.000Z" title="发表于 2026-04-11 18:20:34">2026-04-11</time></div></div><div class="aside-list-item"><a class="thumbnail" href="/posts/c4477b0c/" title="配置OpenGL环境"><img src="https://pic.biss.click/image/d19b9e03-9442-4b85-94a0-a3780b9f4440.webp" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="配置OpenGL环境"></a><div class="content"><a class="title" href="/posts/c4477b0c/" title="配置OpenGL环境">配置OpenGL环境</a><time datetime="2026-04-01T20:52:16.000Z" title="发表于 2026-04-02 04:52:16">2026-04-02</time></div></div><div class="aside-list-item no-cover"><div class="content"><a class="title" href="/posts/b559997d/" title="opencv应用-算术运算">opencv应用-算术运算</a><time datetime="2026-03-17T05:13:08.000Z" title="发表于 2026-03-17 13:13:08">2026-03-17</time></div></div><div class="aside-list-item no-cover"><div class="content"><a class="title" href="/posts/e8f95ead/" title="opencv应用-基础操作">opencv应用-基础操作</a><time datetime="2026-03-15T01:56:51.000Z" title="发表于 2026-03-15 09:56:51">2026-03-15</time></div></div></div></div></div></div></main><footer id="footer"><div class="footer-other"><div class="footer-copyright"><span class="copyright">© 2025 - 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twikoo.getCommentsCount({
|
||
envId: 'https://comment.biss.click',
|
||
region: '',
|
||
urls: [window.location.pathname],
|
||
includeReply: false
|
||
}).then(res => {
|
||
countELement.textContent = res[0].count
|
||
}).catch(err => {
|
||
console.error(err)
|
||
})
|
||
}
|
||
|
||
const init = (el = document, path = location.pathname) => {
|
||
twikoo.init({
|
||
el: el.querySelector('#twikoo-wrap'),
|
||
envId: 'https://comment.biss.click',
|
||
region: '',
|
||
onCommentLoaded: () => {
|
||
btf.loadLightbox(document.querySelectorAll('#twikoo .tk-content img:not(.tk-owo-emotion)'))
|
||
},
|
||
...option,
|
||
path: isShuoshuo ? path : (option && option.path) || path
|
||
})
|
||
|
||
GLOBAL_CONFIG_SITE.pageType === 'post' && getCount()
|
||
|
||
isShuoshuo && (window.shuoshuoComment.destroyTwikoo = () => {
|
||
if (el.children.length) {
|
||
el.innerHTML = ''
|
||
el.classList.add('no-comment')
|
||
}
|
||
})
|
||
}
|
||
|
||
const loadTwikoo = (el, path) => {
|
||
if (typeof twikoo === 'object') setTimeout(() => init(el, path), 0)
|
||
else btf.getScript('https://unpkg.com/twikoo/dist/twikoo.min.js').then(() => init(el, path))
|
||
}
|
||
|
||
if (isShuoshuo) {
|
||
'Twikoo' === 'Twikoo'
|
||
? window.shuoshuoComment = { loadComment: loadTwikoo }
|
||
: window.loadOtherComment = loadTwikoo
|
||
return
|
||
}
|
||
|
||
if ('Twikoo' === 'Twikoo' || !false) {
|
||
if (false) btf.loadComment(document.getElementById('twikoo-wrap'), loadTwikoo)
|
||
else loadTwikoo()
|
||
} else {
|
||
window.loadOtherComment = loadTwikoo
|
||
}
|
||
})()</script></div><script src="https://code.jquery.com/jquery-4.0.0.min.js"></script><script src="/js/random.js"></script><script src="/js/shuoshuoshouye.js"></script><script src="/js/ai-summary.js"></script><script src="/js/search/typesense-search.js"></script><script src="/js/footer.js" <script=""></script><script src="https://cdn.jsdmirror.com/gh/bishshi/welcomemessage/txmap.js"></script><script src="https://cdn.jsdmirror.com/gh/bishshi/rightmenu@1.2/rightmenu.js"></script><script src="https://cdn.jsdmirror.com/gh/bishshi/sidecalendar@latest/calendar.js"></script><script src="https://cdn.jsdmirror.com/npm/chinese-lunar@0.1.4/lib/chinese-lunar.js"></script><script src="https://cdn.jsdmirror.com/npm/instantsearch.js@4.56.0"></script><script src="https://cdn.jsdmirror.com/npm/typesense-instantsearch-adapter@2.7.0/dist/typesense-instantsearch-adapter.min.js"></script><script src="https://unpkg.com/pjax/pjax.min.js" defer="defer"></script><script>document.addEventListener('DOMContentLoaded', () => {
|
||
const pjaxSelectors = ["head > title","#config-diff","#body-wrap","#rightside-config-hide","#rightside-config-show",".js-pjax"]
|
||
|
||
window.pjax = new Pjax({
|
||
elements: 'a:not([target="_blank"])',
|
||
selectors: pjaxSelectors,
|
||
cacheBust: false,
|
||
analytics: false,
|
||
scrollRestoration: false
|
||
})
|
||
|
||
const triggerPjaxFn = (val) => {
|
||
if (!val) return
|
||
Object.values(val).forEach(fn => {
|
||
try {
|
||
fn()
|
||
} catch (err) {
|
||
console.debug('Pjax callback failed:', err)
|
||
}
|
||
})
|
||
}
|
||
|
||
document.addEventListener('pjax:send', () => {
|
||
// removeEventListener
|
||
btf.removeGlobalFnEvent('pjaxSendOnce')
|
||
btf.removeGlobalFnEvent('themeChange')
|
||
|
||
// reset readmode
|
||
const $bodyClassList = document.body.classList
|
||
if ($bodyClassList.contains('read-mode')) $bodyClassList.remove('read-mode')
|
||
|
||
triggerPjaxFn(window.globalFn.pjaxSend)
|
||
})
|
||
|
||
document.addEventListener('pjax:complete', () => {
|
||
btf.removeGlobalFnEvent('pjaxCompleteOnce')
|
||
document.querySelectorAll('script[data-pjax]').forEach(item => {
|
||
const newScript = document.createElement('script')
|
||
const content = item.text || item.textContent || item.innerHTML || ""
|
||
Array.from(item.attributes).forEach(attr => newScript.setAttribute(attr.name, attr.value))
|
||
newScript.appendChild(document.createTextNode(content))
|
||
item.parentNode.replaceChild(newScript, item)
|
||
})
|
||
|
||
triggerPjaxFn(window.globalFn.pjaxComplete)
|
||
})
|
||
|
||
document.addEventListener('pjax:error', e => {
|
||
if (e.request.status === 404) {
|
||
true
|
||
? pjax.loadUrl('/404.html')
|
||
: window.location.href = e.request.responseURL
|
||
}
|
||
})
|
||
})</script></div><div class="js-pjax" id="rightMenu"><div class="rightMenu-group rightMenu-small"><a class="rightMenu-item" href="javascript:window.history.back();"><i class="fa fa-arrow-left"></i></a><a class="rightMenu-item" href="javascript:window.history.forward();"><i class="fa fa-arrow-right"></i></a><a class="rightMenu-item" href="javascript:window.location.reload();"><i class="fa fa-refresh"></i></a><a class="rightMenu-item" href="javascript:window.scrollTo(0, 0);"><i class="fa fa-arrow-up"></i></a></div><div class="rightMenu-group rightMenu-line hide" id="menu-text"><a class="rightMenu-item" href="javascript:rmf.copySelect();"><i class="fa fa-copy"></i><span>复制</span></a><a class="rightMenu-item" href="javascript:rmf.searchinThisPage();"><i class="fas fa-search"></i><span>站内搜索</span></a></div><div class="rightMenu-group rightMenu-line hide" id="menu-too"><a class="rightMenu-item" href="javascript:window.open(window.getSelection().toString());window.location.reload();"><i class="fa fa-link"></i><span>转到链接</span></a></div><div class="rightMenu-group rightMenu-line hide" id="menu-paste"><a class="rightMenu-item" href="javascript:rmf.paste()"><i class="fa fa-copy"></i><span>粘贴</span></a></div><div class="rightMenu-group rightMenu-line hide" id="menu-post"><a class="rightMenu-item" href="javascript:rmf.copyWordsLink()"><i class="fa fa-link"></i><span>复制本文地址</span></a></div><div class="rightMenu-group rightMenu-line hide" id="menu-to"><a class="rightMenu-item" href="javascript:rmf.openWithNewTab()"><i class="fa fa-window-restore"></i><span>新窗口打开</span></a><a class="rightMenu-item" href="javascript:rmf.open()"><i class="fa fa-link"></i><span>转到链接</span></a><a class="rightMenu-item" href="javascript:rmf.copyLink()"><i class="fa fa-copy"></i><span>复制链接</span></a></div><div class="rightMenu-group rightMenu-line hide" id="menu-img"><a class="rightMenu-item" href="javascript:rmf.saveAs()"><i class="fa fa-download"></i><span>保存图片</span></a><a class="rightMenu-item" href="javascript:rmf.openWithNewTab()"><i class="fa fa-window-restore"></i><span>在新窗口打开</span></a><a class="rightMenu-item" href="javascript:rmf.click()"><i class="fa fa-arrows-alt"></i><span>全屏显示</span></a><a class="rightMenu-item" href="javascript:rmf.copyLink()"><i class="fa fa-copy"></i><span>复制图片链接</span></a></div><div class="rightMenu-group rightMenu-line"><a class="rightMenu-item" href="javascript:randomPost()"><i class="fa fa-paper-plane"></i><span>随便逛逛</span></a><a class="rightMenu-item" href="javascript:rmf.switchDarkMode();"><i class="fa fa-moon"></i><span>昼夜切换</span></a><a class="rightMenu-item" href="javascript:rmf.translate();"><i class="iconfont icon-fanti"></i><span>繁简转换</span></a><a class="rightMenu-item" href="javascript:rmf.switchReadMode();"><i class="fa fa-book"></i><span>阅读模式</span></a><a class="rightMenu-item" href="javascript:pjax.loadUrl("/privacy/");"><i class="fa fa-info-circle"></i><span>隐私声明</span></a><a class="rightMenu-item" href="javascript:pjax.loadUrl("/cookie/");"><i class="fa fa-info-circle"></i><span>Cookie协议</span></a><a class="rightMenu-item" href="javascript:pjax.loadUrl("/cc/");"><i class="fa fa-info-circle"></i><span>版权声明</span></a></div></div><!-- hexo injector body_end start --><script data-pjax="">
|
||
function butterfly_swiper_injector_config(){
|
||
var parent_div_git = document.getElementById('recent-posts');
|
||
var item_html = '<div class="recent-post-item" style="height: auto;width: 100%"><div class="blog-slider swiper-container-fade swiper-container-horizontal" id="swiper_container"><div class="blog-slider__wrp swiper-wrapper" style="transition-duration: 0ms;"><div class="blog-slider__item swiper-slide" style="background:url(https://pic.biss.click/image/fca16741-64fa-495b-aa5e-a2ef077461ef.webp);border-radius:12px;opacity: 1; transform: translate3d(0px, 0px, 0px); transition-duration: 0ms;"><div class="blog-slider__content"><span class="blog-slider__code">2026-02-23</span><a class="blog-slider__title" onclick="pjax.loadUrl("posts/56f57c0b/");" href="javascript:void(0);" alt="">自建renovate-bot</a><div class="blog-slider__text">还不知道怎么描述哦</div></div></div><div class="blog-slider__item swiper-slide" style="background:url(https://pic.biss.click/image/63a5c345-cb40-4e92-bc7b-7dc4daaf5b74.webp);border-radius:12px;opacity: 1; transform: translate3d(0px, 0px, 0px); transition-duration: 0ms;"><div class="blog-slider__content"><span class="blog-slider__code">2025-09-28</span><a class="blog-slider__title" onclick="pjax.loadUrl("posts/b57500e9/");" href="javascript:void(0);" alt="">在Openwrt上安装AdguardHome</a><div class="blog-slider__text">还不知道怎么描述哦</div></div></div><div class="blog-slider__item swiper-slide" style="background:url(https://pic.biss.click/image/961bc881-cb0a-4ab7-ace5-9990e71c30a0.webp);border-radius:12px;opacity: 1; transform: translate3d(0px, 0px, 0px); transition-duration: 0ms;"><div class="blog-slider__content"><span class="blog-slider__code">2026-02-07</span><a class="blog-slider__title" onclick="pjax.loadUrl("posts/34725d47/");" href="javascript:void(0);" alt="">安装gitea</a><div class="blog-slider__text">还不知道怎么描述哦</div></div></div></div><div class="blog-slider__pagination swiper-pagination-clickable swiper-pagination-bullets"></div><div class="swiper-button-prev"></div><div class="swiper-button-next"></div></div></div>';
|
||
console.log('已挂载butterfly_swiper')
|
||
parent_div_git.insertAdjacentHTML("afterbegin",item_html)
|
||
}
|
||
var elist = 'undefined'.split(',');
|
||
var cpage = location.pathname;
|
||
var epage = '/';
|
||
var flag = 0;
|
||
|
||
for (var i=0;i<elist.length;i++){
|
||
if (cpage.includes(elist[i])){
|
||
flag++;
|
||
}
|
||
}
|
||
|
||
if ((epage ==='all')&&(flag == 0)){
|
||
butterfly_swiper_injector_config();
|
||
}
|
||
else if (epage === cpage){
|
||
butterfly_swiper_injector_config();
|
||
}
|
||
</script><script defer="" src="https://cdnjs.cloudflare.com/ajax/libs/Swiper/5.4.5/js/swiper.min.js"></script><script defer="" data-pjax="" src="https://npm.elemecdn.com/hexo-butterfly-swiper-lyx/lib/swiper_init.js"></script><!-- hexo injector body_end end --></body></html> |