neuro_morpho.model.tiler
========================

.. py:module:: neuro_morpho.model.tiler

.. autoapi-nested-parse::

   Image tiling and stitching.



Classes
-------

.. autoapisummary::

   neuro_morpho.model.tiler.Tiler


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

.. py:class:: Tiler(tile_size: int = 512, tile_assembly: str = 'nn', x_coords: numpy.ndarray | None = None, y_coords: numpy.ndarray | None = None, nearest_map: numpy.ndarray | None = None)

   Image tiling and stitching.

   This class provides methods for tiling an image into smaller patches and
   stitching them back together.


   .. py:attribute:: tile_size
      :value: 512



   .. py:attribute:: tile_assembly
      :value: 'nn'



   .. py:attribute:: x_coords


   .. py:attribute:: y_coords


   .. py:method:: get_tiling_attributes(image_size)

      Calculate the tiling attributes based on the image size.

      This method calculates the x and y coordinates of the tiles and the
      nearest neighbor map if the tile assembly method is 'nn'.

      :param image_size: The size of the image.
      :type image_size: tuple[int, int]



   .. py:method:: extend_image_shape(orig_image: numpy.ndarray) -> tuple[numpy.ndarray, tuple[int, int]]

      Create image with extended size to fit the tile size.

      This method calculates models the distribution of noise/background as a gaussian and creates extended
      with pixels' greylevels distributed in the same manner.

      :param orig_image: Original image.
      :type orig_image: np.ndarray



   .. py:method:: tile_image(image: numpy.ndarray) -> numpy.ndarray

      Tile an image into smaller patches.

      :param image: The input image.
      :type image: np.ndarray

      :returns: An array of tiles.
      :rtype: np.ndarray