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  <div class="section" id="module-ipfml.processing">
<span id="ipfml-processing"></span><h1>ipfml.processing<a class="headerlink" href="#module-ipfml.processing" title="Permalink to this headline">¶</a></h1>
<p>Functions to quickly extract reduced information from image</p>
<p class="rubric">Functions</p>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="#ipfml.processing.divide_in_blocks" title="ipfml.processing.divide_in_blocks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">divide_in_blocks</span></code></a>(image,&nbsp;block_size[,&nbsp;pil])</td>
<td>Divide image into equal size blocks</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#ipfml.processing.get_LAB_L_SVD" title="ipfml.processing.get_LAB_L_SVD"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_LAB_L_SVD</span></code></a>(image)</td>
<td>Returns Singular values from LAB L Image information</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#ipfml.processing.get_LAB_L_SVD_U" title="ipfml.processing.get_LAB_L_SVD_U"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_LAB_L_SVD_U</span></code></a>(image)</td>
<td>Returns U SVD from L of LAB Image information</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#ipfml.processing.get_LAB_L_SVD_V" title="ipfml.processing.get_LAB_L_SVD_V"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_LAB_L_SVD_V</span></code></a>(image)</td>
<td>Returns V SVD from L of LAB Image information</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#ipfml.processing.get_LAB_L_SVD_s" title="ipfml.processing.get_LAB_L_SVD_s"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_LAB_L_SVD_s</span></code></a>(image)</td>
<td>Returns s (Singular values) SVD from L of LAB Image information</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#ipfml.processing.rgb_to_LAB_L_bits" title="ipfml.processing.rgb_to_LAB_L_bits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rgb_to_LAB_L_bits</span></code></a>(image,&nbsp;interval)</td>
<td>Returns only bits from LAB L canal specified into the interval</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#ipfml.processing.rgb_to_LAB_L_low_bits" title="ipfml.processing.rgb_to_LAB_L_low_bits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rgb_to_LAB_L_low_bits</span></code></a>(image[,&nbsp;nb_bits])</td>
<td>Convert RGB Image into Lab L channel image using only 4 low bits values</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#ipfml.processing.rgb_to_grey_low_bits" title="ipfml.processing.rgb_to_grey_low_bits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rgb_to_grey_low_bits</span></code></a>(image[,&nbsp;nb_bits])</td>
<td>Convert RGB Image into grey image using only 4 low bits values</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#ipfml.processing.rgb_to_mscn" title="ipfml.processing.rgb_to_mscn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rgb_to_mscn</span></code></a>(image)</td>
<td>Convert RGB Image into Mean Subtracted Contrast Normalized (MSCN)</td>
</tr>
</tbody>
</table>
<dl class="function">
<dt id="ipfml.processing.divide_in_blocks">
<code class="descclassname">ipfml.processing.</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.html#divide_in_blocks"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.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 (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_heigt</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">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">processing</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">metrics</span>
<span class="gp">&gt;&gt;&gt; </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">&gt;&gt;&gt; </span><span class="n">blocks</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">&gt;&gt;&gt; </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">&gt;&gt;&gt; </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">&gt;&gt;&gt; </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">&gt;&gt;&gt; </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">&#39;./images/test_img.png&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">L</span> <span class="o">=</span> <span class="n">metrics</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">&gt;&gt;&gt; </span><span class="n">blocks_L</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">&gt;&gt;&gt; </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">&gt;&gt;&gt; </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>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.processing.get_LAB_L_SVD">
<code class="descclassname">ipfml.processing.</code><code class="descname">get_LAB_L_SVD</code><span class="sig-paren">(</span><em>image</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing.html#get_LAB_L_SVD"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.get_LAB_L_SVD" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns Singular values from LAB L Image information</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"><strong>image</strong> – PIL Image or Numpy array</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">U, s, V information obtained from SVD compression using Lab</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">processing</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img</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">&#39;./images/test_img.png&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">U</span><span class="p">,</span> <span class="n">s</span><span class="p">,</span> <span class="n">V</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">get_LAB_L_SVD</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">U</span><span class="o">.</span><span class="n">shape</span>
<span class="go">(200, 200)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="nb">len</span><span class="p">(</span><span class="n">s</span><span class="p">)</span>
<span class="go">200</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">V</span><span class="o">.</span><span class="n">shape</span>
<span class="go">(200, 200)</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.processing.get_LAB_L_SVD_U">
<code class="descclassname">ipfml.processing.</code><code class="descname">get_LAB_L_SVD_U</code><span class="sig-paren">(</span><em>image</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing.html#get_LAB_L_SVD_U"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.get_LAB_L_SVD_U" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns U SVD from L of LAB Image information</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"><strong>image</strong> – PIL Image or Numpy array</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">U matrix of SVD compression</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">processing</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img</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">&#39;./images/test_img.png&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">U</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">get_LAB_L_SVD_U</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">U</span><span class="o">.</span><span class="n">shape</span>
<span class="go">(200, 200)</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.processing.get_LAB_L_SVD_V">
<code class="descclassname">ipfml.processing.</code><code class="descname">get_LAB_L_SVD_V</code><span class="sig-paren">(</span><em>image</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing.html#get_LAB_L_SVD_V"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.get_LAB_L_SVD_V" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns V SVD from L of LAB Image information</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"><strong>image</strong> – PIL Image or Numpy array</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">V matrix of SVD compression</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">processing</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img</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">&#39;./images/test_img.png&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">V</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">get_LAB_L_SVD_V</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">V</span><span class="o">.</span><span class="n">shape</span>
<span class="go">(200, 200)</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.processing.get_LAB_L_SVD_s">
<code class="descclassname">ipfml.processing.</code><code class="descname">get_LAB_L_SVD_s</code><span class="sig-paren">(</span><em>image</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing.html#get_LAB_L_SVD_s"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.get_LAB_L_SVD_s" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns s (Singular values) SVD from L of LAB Image information</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"><strong>image</strong> – PIL Image or Numpy array</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">vector of singular values</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">processing</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img</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">&#39;./images/test_img.png&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">get_LAB_L_SVD_s</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="nb">len</span><span class="p">(</span><span class="n">s</span><span class="p">)</span>
<span class="go">200</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.processing.rgb_to_LAB_L_bits">
<code class="descclassname">ipfml.processing.</code><code class="descname">rgb_to_LAB_L_bits</code><span class="sig-paren">(</span><em>image</em>, <em>interval</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing.html#rgb_to_LAB_L_bits"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.rgb_to_LAB_L_bits" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns only bits from LAB L canal specified into the interval</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> – image to convert using this interval of bits value to keep</li>
<li><strong>interval</strong> – (begin, end) of bits values</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">2D Numpy array with reduced values</p>
</td>
</tr>
</tbody>
</table>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">processing</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img</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">&#39;./images/test_img.png&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">bits_Lab_l_img</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">rgb_to_LAB_L_bits</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">bits_Lab_l_img</span><span class="o">.</span><span class="n">shape</span>
<span class="go">(200, 200)</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.processing.rgb_to_LAB_L_low_bits">
<code class="descclassname">ipfml.processing.</code><code class="descname">rgb_to_LAB_L_low_bits</code><span class="sig-paren">(</span><em>image</em>, <em>nb_bits=4</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing.html#rgb_to_LAB_L_low_bits"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.rgb_to_LAB_L_low_bits" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert RGB Image into Lab L channel image using only 4 low bits values</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> – 3D RGB image Numpy array or PIL RGB image</li>
<li><strong>nb_bits</strong> – optional parameter which indicates the number of bits to keep (default 4)</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">2D Numpy array with low bits information kept</p>
</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">processing</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img</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">&#39;./images/test_img.png&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">low_bits_Lab_l_img</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">rgb_to_LAB_L_low_bits</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">low_bits_Lab_l_img</span><span class="o">.</span><span class="n">shape</span>
<span class="go">(200, 200)</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.processing.rgb_to_grey_low_bits">
<code class="descclassname">ipfml.processing.</code><code class="descname">rgb_to_grey_low_bits</code><span class="sig-paren">(</span><em>image</em>, <em>nb_bits=4</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing.html#rgb_to_grey_low_bits"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.rgb_to_grey_low_bits" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert RGB Image into grey image using only 4 low bits values</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> – 3D RGB image Numpy array or PIL RGB image</li>
<li><strong>nb_bits</strong> – optional parameter which indicates the number of bits to keep (default 4)</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">2D Numpy array with low bits information kept</p>
</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">processing</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img</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">&#39;./images/test_img.png&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">low_bits_grey_img</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">rgb_to_grey_low_bits</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">low_bits_grey_img</span><span class="o">.</span><span class="n">shape</span>
<span class="go">(200, 200)</span>
</pre></div>
</div>
</dd></dl>

<dl class="function">
<dt id="ipfml.processing.rgb_to_mscn">
<code class="descclassname">ipfml.processing.</code><code class="descname">rgb_to_mscn</code><span class="sig-paren">(</span><em>image</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/ipfml/processing.html#rgb_to_mscn"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#ipfml.processing.rgb_to_mscn" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert RGB Image into Mean Subtracted Contrast Normalized (MSCN)</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"><strong>image</strong> – 3D RGB image Numpy array or PIL RGB image</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">2D Numpy array with MSCN information</td>
</tr>
</tbody>
</table>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">ipfml</span> <span class="k">import</span> <span class="n">processing</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img</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">&#39;./images/test_img.png&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img_mscn</span> <span class="o">=</span> <span class="n">processing</span><span class="o">.</span><span class="n">rgb_to_mscn</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">img_mscn</span><span class="o">.</span><span class="n">shape</span>
<span class="go">(200, 200)</span>
</pre></div>
</div>
</dd></dl>

</div>


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