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<title>python图像处理pillow工具作业：合并拼接图片</title>
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<h1 class="entry-title">
<a href="/pil1.html" rel="bookmark"
title="Permalink to python图像处理pillow工具作业：合并拼接图片">python图像处理pillow工具作业：合并拼接图片</a></h1>
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<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-12-03T19:25:00+08:00">
Published: 一 03 十二月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <ul>
<li><a href="https://china-testing.github.io/practices.html">python测试开发项目实战-目录</a></li>
<li><a href="https://china-testing.github.io/python_books.html">python工具书籍下载-持续更新</a></li>
<li><a href="https://china-testing.github.io/python3_quick.html">python 3.7极速入门教程 - 目录</a></li>
</ul>
<h3 id="pillow">pillow简介</h3>
<p>Python Imaging Library给Python解释器增加了图像处理能力。</p>
<p>该库提供了广泛的文件格式支持，高效的内部展现，以及十分强大的图像处理能力。</p>
<p>核心图像库专为以几种存储为基本像素格式数据的快速访问而设计。它为通用图像处理工具提供了坚实的基础。</p>
<p>我们来看看这个库的用途。</p>
<ul>
<li>图像存储</li>
</ul>
<p>PIL适合图像归档和图像批量处理，你可以使用它建立缩略图，转换格式，打印图片等。</p>
<p>现在的版本可以识别和读取大量的图片格式，写入常用的转换和表示格式。</p>
<ul>
<li>图像显示</li>
</ul>
<p>当前版本包含了Tk <a href="https://pillow.readthedocs.io/en/latest/reference/ImageTk.html#PIL.ImageTk.PhotoImage">PhotoImage</a>和<a href="https://pillow.readthedocs.io/en/latest/reference/ImageTk.html#PIL.ImageTk.BitmapImage">BitmapImage</a>接口, 以及<a href="https://pillow.readthedocs.io/en/latest/reference/ImageTk.html#PIL.ImageTk.BitmapImage">Windows DIB interface</a> ，可以在PythonWin和其他基于Windows的工具包中使用。许多其他GUI工具包带有某种类型的PIL支持。</p>
<p>为了方便调试还提供了show()方法，可以保存图像到磁盘并调用外显示。它将图像保存到磁盘，并调用外部显示工具。</p>
<ul>
<li>图像处理</li>
</ul>
<p>这个库包含了基本的图像处理功能，包括点操作，使用内置卷积内核过滤，色彩空间转换。</p>
<p>这个库还支持更改图像大小、旋转、任意仿射变换。</p>
<p>直方图方法允许你统计图像，这可以用于对比度增强和全局统计分析。</p>
<p>更多内容参见：<a href="https://china-testing.github.io/python3_lib_pil.html">python库介绍-图像处理工具pillow中文文档-手册(2018 5.*)</a></p>
<h3 id="pythonpillow">python图像处理pillow工具作业：合并拼接图片</h3>
<p>图片实例：</p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-28542d0d1cf05945.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p>现在有多个分辨率和大小相同的图片，要求能拼接2,3...张图片，每行2张。展示效果如下：</p>
<p>2张：</p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-ee3a844225b46f23.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p>3张</p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-40de16b94d4f8075.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p>11张</p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-e48a70d22d5cd78b.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p>以此类推..</p>
<h3 id="_1">参考资料</h3>
<ul>
<li><a href="https://china-testing.github.io/pil1.html">本文最新版本地址</a></li>
<li><a href="https://github.com/china-testing/python-api-tesing">本文涉及的python测试开发库</a> 谢谢点赞！</li>
<li><a href="https://github.com/china-testing/python-api-tesing/blob/master/books.md">本文相关海量书籍下载</a> </li>
<li><a href="https://china-testing.github.io/python3_lib_pil.html">python库介绍-图像处理工具pillow中文文档-手册(2018 5.*)</a></li>
<li>代码地址：https://github.com/china-testing/python-api-tesing/blob/master/practices/pil_merge.py</li>
</ul>
<h3 id="_2">代码</h3>
<div class="highlight"><pre><span></span><span class="ch">#!/usr/bin/python3</span>
<span class="c1"># -*- coding: utf-8 -*-</span>
<span class="c1"># 技术支持：https://www.jianshu.com/u/69f40328d4f0 </span>
<span class="c1"># 技术支持 https://china-testing.github.io/</span>
<span class="c1"># https://github.com/china-testing/python-api-tesing/blob/master/practices/pil_merge.py</span>
<span class="c1"># 项目实战讨论QQ群630011153 144081101</span>
<span class="c1"># CreateDate: 2018-11-22</span>
<span class="kn">import</span> <span class="nn">math</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
<span class="n">column</span> <span class="o">=</span> <span class="mi">2</span>
<span class="n">width</span> <span class="o">=</span> <span class="mi">802</span>
<span class="n">height</span> <span class="o">=</span> <span class="mi">286</span>
<span class="n">size</span> <span class="o">=</span> <span class="p">(</span><span class="mi">802</span><span class="p">,</span> <span class="mi">286</span><span class="p">)</span>
<span class="n">list_im</span> <span class="o">=</span> <span class="p">[</span><span class="sa">r</span><span class="s1">'d:\code.jpg'</span><span class="p">,</span> <span class="sa">r</span><span class="s1">'d:\code.jpg'</span><span class="p">,</span> <span class="sa">r</span><span class="s1">'d:\code.jpg'</span><span class="p">,</span> <span class="sa">r</span><span class="s1">'d:\code.jpg'</span><span class="p">,</span>
<span class="sa">r</span><span class="s1">'d:\code.jpg'</span><span class="p">,</span> <span class="sa">r</span><span class="s1">'d:\code.jpg'</span><span class="p">,</span> <span class="sa">r</span><span class="s1">'d:\code.jpg'</span><span class="p">,</span> <span class="sa">r</span><span class="s1">'d:\code.jpg'</span><span class="p">,</span>
<span class="sa">r</span><span class="s1">'d:\code.jpg'</span><span class="p">,</span> <span class="sa">r</span><span class="s1">'d:\code.jpg'</span><span class="p">,</span> <span class="sa">r</span><span class="s1">'d:\code.jpg'</span><span class="p">]</span>
<span class="n">list_im</span> <span class="o">=</span> <span class="n">list_im</span><span class="o">*</span><span class="mi">11</span>
<span class="n">imgs</span> <span class="o">=</span> <span class="p">[</span><span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">list_im</span><span class="p">]</span>
<span class="n">row_num</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">imgs</span><span class="p">)</span><span class="o">/</span><span class="n">column</span><span class="p">)</span>
<span class="n">target</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">new</span><span class="p">(</span><span class="s1">'RGB'</span><span class="p">,</span> <span class="p">(</span><span class="n">width</span><span class="o">*</span><span class="n">column</span><span class="p">,</span> <span class="n">height</span><span class="o">*</span><span class="n">row_num</span><span class="p">))</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">list_im</span><span class="p">)):</span>
<span class="k">if</span> <span class="n">i</span> <span class="o">%</span> <span class="n">column</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">end</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">list_im</span><span class="p">)</span> <span class="k">if</span> <span class="n">i</span> <span class="o">+</span> <span class="n">column</span> <span class="o">></span> <span class="nb">len</span><span class="p">(</span><span class="n">list_im</span><span class="p">)</span> <span class="k">else</span> <span class="n">i</span> <span class="o">+</span> <span class="n">column</span>
<span class="k">for</span> <span class="n">col</span><span class="p">,</span> <span class="n">image</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">imgs</span><span class="p">[</span><span class="n">i</span><span class="p">:</span><span class="n">i</span><span class="o">+</span><span class="n">column</span><span class="p">]):</span>
<span class="n">target</span><span class="o">.</span><span class="n">paste</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="p">(</span><span class="n">width</span><span class="o">*</span><span class="n">col</span><span class="p">,</span> <span class="n">height</span><span class="o">*</span><span class="p">(</span><span class="n">i</span><span class="o">//</span><span class="n">column</span><span class="p">),</span>
<span class="n">width</span><span class="o">*</span><span class="p">(</span><span class="n">col</span> <span class="o">+</span> <span class="mi">1</span><span class="p">),</span> <span class="n">height</span><span class="o">*</span><span class="p">(</span><span class="n">i</span><span class="o">//</span><span class="n">column</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)))</span>
<span class="n">target</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
<span class="n">target</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="s1">'d:\code2.jpg'</span><span class="p">)</span>
</pre></div>
<h2 id="_3">参考资料</h2>
<ul>
<li>python测试等IT技术支持qq群： 144081101(后期会录制视频存在该群群文件) 591302926 567351477 </li>
<li>道家技术-手相手诊看相中医等钉钉群21734177 qq群：391441566 184175668 338228106 看手相、面相、舌相、抽签、体质识别。服务费50元每人次起。请联系钉钉或者微信pythontesting</li>
<li><a href="https://github.com/china-testing/python-api-tesing">本文涉及的python测试开发库</a> 谢谢点赞！</li>
<li><a href="https://github.com/china-testing/python-api-tesing/blob/master/books.md">本文相关海量书籍下载</a></li>
<li><a href="https://china-testing.github.io/testing_training.html">接口自动化性能测试线上培训大纲</a></li>
</ul>
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</article>
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<section id="extras" class="body">
<div class="blogroll">
<h2>links</h2>
<ul>
<li><a href="https://china-testing.github.io/testing_training.html">自动化性能接口测试线上及深圳培训与项目实战 qq群：144081101 591302926</a></li>
<li><a href="http://blog.sciencenet.cn/blog-2604609-1112306.html">pandas数据分析scrapy爬虫 521070358 Py人工智能pandas-opencv 6089740</a></li>
<li><a href="http://blog.sciencenet.cn/blog-2604609-1112306.html">中医解梦看相八字算命qq群 391441566 csdn书籍下载-python爬虫 437355848</a></li>
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