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- <span id="ipfml-processing-segmentation"></span><h1>ipfml.processing.segmentation<a class="headerlink" href="#module-ipfml.processing.segmentation" title="Permalink to this headline">¶</a></h1>
- <p>All segmentation methods applied on images</p>
- <p class="rubric">Functions</p>
- <table border="1" class="longtable docutils">
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- <tr class="row-odd"><td><a class="reference internal" href="#ipfml.processing.segmentation.divide_in_blocks" title="ipfml.processing.segmentation.divide_in_blocks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">divide_in_blocks</span></code></a>(image, block_size[, pil])</td>
- <td>Divide image into equal size blocks</td>
- </tr>
- </tbody>
- </table>
- <dl class="function">
- <dt id="ipfml.processing.segmentation.divide_in_blocks">
- <code class="descclassname">ipfml.processing.segmentation.</code><code class="descname">divide_in_blocks</code><span class="sig-paren">(</span><em>image</em>, <em>block_size</em>, <em>pil=True</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing/segmentation.html#divide_in_blocks"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.segmentation.divide_in_blocks" title="Permalink to this definition">¶</a></dt>
- <dd><p>Divide image into equal size blocks</p>
- <table class="docutils field-list" frame="void" rules="none">
- <col class="field-name" />
- <col class="field-body" />
- <tbody valign="top">
- <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
- <li><strong>image</strong> – PIL Image or Numpy array</li>
- <li><strong>block</strong> – tuple (width, height) representing the size of each dimension of the block</li>
- <li><strong>pil</strong> – block type returned as PIL Image (default True)</li>
- </ul>
- </td>
- </tr>
- <tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">list containing all 2D Numpy blocks (in RGB or not)</p>
- </td>
- </tr>
- <tr class="field-odd field"><th class="field-name">Raises:</th><td class="field-body"><p class="first last"><code class="xref py py-exc docutils literal notranslate"><span class="pre">ValueError</span></code> – If <cite>image_width</cite> or <cite>image_height</cite> are not compatible to produce correct block sizes</p>
- </td>
- </tr>
- </tbody>
- </table>
- <p>Example:</p>
- <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
- <span class="gp">>>> </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
- <span class="gp">>>> </span><span class="kn">from</span> <span class="nn">ipfml.processing</span> <span class="k">import</span> <span class="n">transform</span><span class="p">,</span> <span class="n">segmentation</span>
- <span class="gp">>>> </span><span class="n">image_values</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">255</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">800</span><span class="p">,</span> <span class="mi">800</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
- <span class="gp">>>> </span><span class="n">blocks</span> <span class="o">=</span> <span class="n">segmentation</span><span class="o">.</span><span class="n">divide_in_blocks</span><span class="p">(</span><span class="n">image_values</span><span class="p">,</span> <span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">))</span>
- <span class="gp">>>> </span><span class="nb">len</span><span class="p">(</span><span class="n">blocks</span><span class="p">)</span>
- <span class="go">1600</span>
- <span class="gp">>>> </span><span class="n">blocks</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">width</span>
- <span class="go">20</span>
- <span class="gp">>>> </span><span class="n">blocks</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">height</span>
- <span class="go">20</span>
- <span class="gp">>>> </span><span class="n">img_l</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s1">'./images/test_img.png'</span><span class="p">)</span>
- <span class="gp">>>> </span><span class="n">L</span> <span class="o">=</span> <span class="n">transform</span><span class="o">.</span><span class="n">get_LAB_L</span><span class="p">(</span><span class="n">img_l</span><span class="p">)</span>
- <span class="gp">>>> </span><span class="n">blocks_L</span> <span class="o">=</span> <span class="n">segmentation</span><span class="o">.</span><span class="n">divide_in_blocks</span><span class="p">(</span><span class="n">L</span><span class="p">,</span> <span class="p">(</span><span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">))</span>
- <span class="gp">>>> </span><span class="nb">len</span><span class="p">(</span><span class="n">blocks_L</span><span class="p">)</span>
- <span class="go">4</span>
- <span class="gp">>>> </span><span class="n">blocks_L</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">width</span>
- <span class="go">100</span>
- </pre></div>
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