neuro_morpho.model.breaks_analyzer
==================================

.. py:module:: neuro_morpho.model.breaks_analyzer

.. autoapi-nested-parse::

   Analyzes and patches breaks in predicted binary images.



Attributes
----------

.. autoapisummary::

   neuro_morpho.model.breaks_analyzer.MAX_FIXABLE_DISTANCE


Classes
-------

.. autoapisummary::

   neuro_morpho.model.breaks_analyzer.BreaksAnalyzer


Module Contents
---------------

.. py:data:: MAX_FIXABLE_DISTANCE
   :value: 6


.. py:class:: BreaksAnalyzer

   Analyzes and patches breaks in predicted binary images.

   This class provides methods to identify and fix breaks in the dendrite
   segmentation of the predicted binary images.


   .. py:method:: masked_max(image: numpy.ndarray, point: tuple[int, int], kernel: numpy.ndarray) -> tuple[int, int]

      Find the maximum value and its coordinate in a masked region of an image.

      :param image: The input image.
      :type image: np.ndarray
      :param point: The center of the mask.
      :type point: tuple[int, int]
      :param kernel: The mask to apply.
      :type kernel: np.ndarray

      :returns: The coordinate of the maximum value.
      :rtype: tuple[int, int]



   .. py:method:: create_connecting_line(line_mask: numpy.ndarray, pt1: tuple[int, int], pt2: tuple[int, int], pred_bin_img: numpy.ndarray, pred_img: numpy.ndarray) -> bool

      Draw a line on the mask connecting two points.

      The line is drawn with respect to the predicted image, following the path
      of highest probability.

      :param line_mask: The mask to draw the line on.
      :type line_mask: np.ndarray
      :param pt1: The starting point of the line.
      :type pt1: tuple[int, int]
      :param pt2: The ending point of the line.
      :type pt2: tuple[int, int]
      :param pred_bin_img: The binary prediction image.
      :type pred_bin_img: np.ndarray
      :param pred_img: The probability map prediction image.
      :type pred_img: np.ndarray

      :returns: True if the line was successfully connected, False otherwise.
      :rtype: bool



   .. py:method:: analyze_breaks(pred_bin_img: numpy.ndarray, pred_img: numpy.ndarray) -> numpy.ndarray

      Find and patch potential breaks in the predicted binary image.

      :param pred_bin_img: The binary prediction image.
      :type pred_bin_img: np.ndarray
      :param pred_img: The probability map prediction image.
      :type pred_img: np.ndarray

      :returns: The patched binary image.
      :rtype: np.ndarray