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- <h1>Source code for Region</h1><div class="highlight"><pre>
- <span></span><span class="kn">from</span> <span class="nn">image_features_extraction</span> <span class="k">import</span> <span class="n">MyException</span>
- <div class="viewcode-block" id="Region"><a class="viewcode-back" href="../code.html#Region.Region">[docs]</a><span class="k">class</span> <span class="nc">Region</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
- <span class="sd">"""</span>
- <span class="sd"> Object refering to a single image region</span>
- <span class="sd"> """</span>
- <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">obj_region</span><span class="p">):</span>
- <span class="k">if</span> <span class="n">obj_region</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="k">raise</span> <span class="n">MyException</span><span class="o">.</span><span class="n">MyException</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">__obj_region</span> <span class="o">=</span> <span class="n">obj_region</span>
- <div class="viewcode-block" id="Region.prop_value"><a class="viewcode-back" href="../code.html#Region.Region.prop_value">[docs]</a> <span class="k">def</span> <span class="nf">prop_value</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">prop_name</span><span class="p">):</span>
- <span class="sd">"""</span>
- <span class="sd"> Measure the specified property name (e.g., 'area')</span>
- <span class="sd"> :param prop_name: name of the property to measure (e.g, 'area')</span>
- <span class="sd"> :type prop_name: string</span>
- <span class="sd"> :returns: value of the property name</span>
- <span class="sd"> :rtype: int,float,list</span>
- <span class="sd"> :example:</span>
- <span class="sd"> >>> import image_features_extraction as fe</span>
- <span class="sd"> >>> imgs = fe.Images(folder_name)</span>
- <span class="sd"> >>> img = imgs.item(1)</span>
- <span class="sd"> >>> regs = img.Regions()</span>
- <span class="sd"> >>> reg = regs.Region()</span>
- <span class="sd"> >>> area = reg.prop_value('area')</span>
- <span class="sd"> The following properties can be accessed as attributes or keys:</span>
- <span class="sd"> **area** : int</span>
- <span class="sd"> Number of pixels of region.</span>
- <span class="sd"> **bbox** : tuple</span>
- <span class="sd"> Bounding box ``(min_row, min_col, max_row, max_col)``.</span>
- <span class="sd"> Pixels belonging to the bounding box are in the half-open interval</span>
- <span class="sd"> ``[min_row; max_row)`` and ``[min_col; max_col)``.</span>
- <span class="sd"> **bbox_area** : int</span>
- <span class="sd"> Number of pixels of bounding box.</span>
- <span class="sd"> **centroid** : array</span>
- <span class="sd"> Centroid coordinate tuple ``(row, col)``.</span>
- <span class="sd"> **convex_area** : int</span>
- <span class="sd"> Number of pixels of convex hull image.</span>
- <span class="sd"> **convex_image** : (H, J) ndarray</span>
- <span class="sd"> Binary convex hull image which has the same size as bounding box.</span>
- <span class="sd"> **coords** : (N, 2) ndarray</span>
- <span class="sd"> Coordinate list ``(row, col)`` of the region.</span>
- <span class="sd"> **eccentricity** : float</span>
- <span class="sd"> Eccentricity of the ellipse that has the same second-moments as the</span>
- <span class="sd"> region. The eccentricity is the ratio of the focal distance</span>
- <span class="sd"> (distance between focal points) over the major axis length.</span>
- <span class="sd"> The value is in the interval [0, 1).</span>
- <span class="sd"> When it is 0, the ellipse becomes a circle.</span>
- <span class="sd"> **equivalent_diameter** : float</span>
- <span class="sd"> The diameter of a circle with the same area as the region.</span>
- <span class="sd"> **euler_number** : int</span>
- <span class="sd"> Euler characteristic of region. Computed as number of objects (= 1)</span>
- <span class="sd"> subtracted by number of holes (8-connectivity).</span>
- <span class="sd"> **extent** : float</span>
- <span class="sd"> Ratio of pixels in the region to pixels in the total bounding box.</span>
- <span class="sd"> Computed as ``area / (rows * cols)``</span>
- <span class="sd"> **filled_area** : int</span>
- <span class="sd"> Number of pixels of filled region.</span>
- <span class="sd"> **filled_image** : (H, J) ndarray</span>
- <span class="sd"> Binary region image with filled holes which has the same size as</span>
- <span class="sd"> bounding box.</span>
- <span class="sd"> **image** : (H, J) ndarray</span>
- <span class="sd"> Sliced binary region image which has the same size as bounding box.</span>
- <span class="sd"> **inertia_tensor** : (2, 2) ndarray</span>
- <span class="sd"> Inertia tensor of the region for the rotation around its mass.</span>
- <span class="sd"> **inertia_tensor_eigvals** : tuple</span>
- <span class="sd"> The two eigen values of the inertia tensor in decreasing order.</span>
- <span class="sd"> **intensity_image** : ndarray</span>
- <span class="sd"> Image inside region bounding box.</span>
- <span class="sd"> **label** : int</span>
- <span class="sd"> The label in the labeled input image.</span>
- <span class="sd"> **local_centroid** : array</span>
- <span class="sd"> Centroid coordinate tuple ``(row, col)``, relative to region bounding</span>
- <span class="sd"> box.</span>
- <span class="sd"> **major_axis_length** : float</span>
- <span class="sd"> The length of the major axis of the ellipse that has the same</span>
- <span class="sd"> normalized second central moments as the region.</span>
- <span class="sd"> **max_intensity** : float</span>
- <span class="sd"> Value with the greatest intensity in the region.</span>
- <span class="sd"> **mean_intensity** : float</span>
- <span class="sd"> Value with the mean intensity in the region.</span>
- <span class="sd"> **min_intensity** : float</span>
- <span class="sd"> Value with the least intensity in the region.</span>
- <span class="sd"> **minor_axis_length** : float</span>
- <span class="sd"> The length of the minor axis of the ellipse that has the same</span>
- <span class="sd"> normalized second central moments as the region.</span>
- <span class="sd"> **moments** : (3, 3) ndarray</span>
- <span class="sd"> Spatial moments up to 3rd order::</span>
- <span class="sd"> m_ji = sum{ array(x, y) * x^j * y^i }</span>
- <span class="sd"> where the sum is over the `x`, `y` coordinates of the region.</span>
- <span class="sd"> **moments_central** : (3, 3) ndarray</span>
- <span class="sd"> Central moments (translation invariant) up to 3rd order::</span>
- <span class="sd"> mu_ji = sum{ array(x, y) * (x - x_c)^j * (y - y_c)^i }</span>
- <span class="sd"> where the sum is over the `x`, `y` coordinates of the region,</span>
- <span class="sd"> and `x_c` and `y_c` are the coordinates of the region's centroid.</span>
- <span class="sd"> **moments_hu** : tuple</span>
- <span class="sd"> Hu moments (translation, scale and rotation invariant).</span>
- <span class="sd"> **moments_normalized** : (3, 3) ndarray</span>
- <span class="sd"> Normalized moments (translation and scale invariant) up to 3rd order::</span>
- <span class="sd"> nu_ji = mu_ji / m_00^[(i+j)/2 + 1]</span>
- <span class="sd"> where `m_00` is the zeroth spatial moment.</span>
- <span class="sd"> **orientation** : float</span>
- <span class="sd"> Angle between the X-axis and the major axis of the ellipse that has</span>
- <span class="sd"> the same second-moments as the region. Ranging from `-pi/2` to</span>
- <span class="sd"> `pi/2` in counter-clockwise direction.</span>
- <span class="sd"> **perimeter** : float</span>
- <span class="sd"> Perimeter of object which approximates the contour as a line</span>
- <span class="sd"> through the centers of border pixels using a 4-connectivity.</span>
- <span class="sd"> **solidity** : float</span>
- <span class="sd"> Ratio of pixels in the region to pixels of the convex hull image.</span>
- <span class="sd"> **weighted_centroid** : array</span>
- <span class="sd"> Centroid coordinate tuple ``(row, col)`` weighted with intensity</span>
- <span class="sd"> image.</span>
- <span class="sd"> **weighted_local_centroid** : array</span>
- <span class="sd"> Centroid coordinate tuple ``(row, col)``, relative to region bounding</span>
- <span class="sd"> box, weighted with intensity image.</span>
- <span class="sd"> **weighted_moments** : (3, 3) ndarray</span>
- <span class="sd"> Spatial moments of intensity image up to 3rd order::</span>
- <span class="sd"> wm_ji = sum{ array(x, y) * x^j * y^i }</span>
- <span class="sd"> where the sum is over the `x`, `y` coordinates of the region.</span>
- <span class="sd"> **weighted_moments_central** : (3, 3) ndarray</span>
- <span class="sd"> Central moments (translation invariant) of intensity image up to</span>
- <span class="sd"> 3rd order::</span>
- <span class="sd"> wmu_ji = sum{ array(x, y) * (x - x_c)^j * (y - y_c)^i }</span>
- <span class="sd"> where the sum is over the `x`, `y` coordinates of the region,</span>
- <span class="sd"> and `x_c` and `y_c` are the coordinates of the region's weighted</span>
- <span class="sd"> centroid.</span>
- <span class="sd"> **weighted_moments_hu** : tuple</span>
- <span class="sd"> Hu moments (translation, scale and rotation invariant) of intensity</span>
- <span class="sd"> image.</span>
- <span class="sd"> **weighted_moments_normalized** : (3, 3) ndarray</span>
- <span class="sd"> Normalized moments (translation and scale invariant) of intensity</span>
- <span class="sd"> image up to 3rd order::</span>
- <span class="sd"> wnu_ji = wmu_ji / wm_00^[(i+j)/2 + 1]</span>
- <span class="sd"> where ``wm_00`` is the zeroth spatial moment (intensity-weighted area).</span>
- <span class="sd"> """</span>
- <span class="k">try</span><span class="p">:</span>
- <span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">__obj_region</span><span class="p">,</span> <span class="n">prop_name</span><span class="p">)</span>
- <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
- <span class="nb">print</span><span class="p">(</span><span class="n">e</span><span class="o">.</span><span class="n">args</span><span class="p">)</span>
- <span class="k">return</span> <span class="kc">None</span></div></div>
- </pre></div>
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