code: 
  
  
  
  
  
  
  import cva
  import numpy as np
  
  
  
  
  
  
  
  def 	SCREAMING_SNAKE_CASE							(      __lowerCAmelCase      ,					__lowerCAmelCase      ,					__lowerCAmelCase      ,					__lowerCAmelCase    )				->			int:
  
       try:
            return int(image[x_coordinate][y_coordinate] >= center    )
       except (IndexError, TypeError):
            return 0
  
  
  
  
  
  
  
  def 	SCREAMING_SNAKE_CASE							(      __lowerCAmelCase      ,					__lowerCAmelCase      ,					__lowerCAmelCase    )				->			int:
       UpperCamelCase__    :     List[str]        =						image[x_coordinate][y_coordinate]
       UpperCamelCase__    :     List[str]        =						[1, 2, 4, 8, 16, 32, 64, 128]
  
       # skip get_neighbors_pixel if center is null
       if center is None:
            return 0
  
       # Starting from the top right, assigning value to pixels clockwise
       UpperCamelCase__    :     Any        =						[
           get_neighbors_pixel(lowercase_      ,					x_coordinate - 1      ,					y_coordinate + 1      ,					lowercase_    ),
           get_neighbors_pixel(lowercase_      ,					lowercase_      ,					y_coordinate + 1      ,					lowercase_    ),
           get_neighbors_pixel(lowercase_      ,					x_coordinate - 1      ,					lowercase_      ,					lowercase_    ),
           get_neighbors_pixel(lowercase_      ,					x_coordinate + 1      ,					y_coordinate + 1      ,					lowercase_    ),
           get_neighbors_pixel(lowercase_      ,					x_coordinate + 1      ,					lowercase_      ,					lowercase_    ),
           get_neighbors_pixel(lowercase_      ,					x_coordinate + 1      ,					y_coordinate - 1      ,					lowercase_    ),
           get_neighbors_pixel(lowercase_      ,					lowercase_      ,					y_coordinate - 1      ,					lowercase_    ),
           get_neighbors_pixel(lowercase_      ,					x_coordinate - 1      ,					y_coordinate - 1      ,					lowercase_    ),
       ]
  
       # Converting the binary value to decimal.
       return sum(
           binary_value * power for binary_value, power in zip(lowercase_      ,					lowercase_    )    )
  
  
  if __name__ == "__main__":
   # Reading the image and converting it to grayscale.
   lowerCamelCase			:							Union[str, Any]       =cva.imread(
       '''digital_image_processing/image_data/lena.jpg''', cva.IMREAD_GRAYSCALE
   )
  
   # Create a numpy array as the same height and width of read image
   lowerCamelCase			:							Union[str, Any]       =np.zeros((image.shape[0], image.shape[1]))
  
   # Iterating through the image and calculating the
   # local binary pattern value for each pixel.
   for i in range(0, image.shape[0]):
    for j in range(0, image.shape[1]):
     lowerCamelCase			:							Dict       =local_binary_value(image, i, j)
  
   cva.imshow('''local binary pattern''', lbp_image)
   cva.waitKey(0)
   cva.destroyAllWindows()
style_context: 
  
  
  
  
  
  
  from __future__ import annotations
  
  from collections.abc import Iterator
  from typing import Any
  
  
  
  
  
  class     __a						:
  
  
  
  
  
  
  
   def __init__(	self      :     str							,     SCREAMING_SNAKE_CASE      :     Any		):
  
  
        '''simple docstring'''
  
  
  
  
  
  
        UpperCamelCase__    :     Any        =						data
        UpperCamelCase__    :     Node | None        =						None
  
  
  
  
  
  
  
   def __str__(	self      :     Union[str, Any]		):
  
  
        '''simple docstring'''
  
  
  
  
  
  
        return F'{self.data}'
  
  
  
  
  
  
  
  class     __a						:
  
  
  
  
  
  
  
   def __init__(	self      :     Optional[int]		):
  
  
        '''simple docstring'''
  
  
  
  
  
  
        UpperCamelCase__    :     Node | None        =						None
        UpperCamelCase__    :     Node | None        =						None
  
  
  
  
  
  
  
   def __iter__(	self      :     str		):
  
  
        '''simple docstring'''
  
  
  
  
  
  
        UpperCamelCase__    :     int        =						self.front
        while node:
             yield node.data
             UpperCamelCase__    :     Any        =						node.next
  
  
  
  
  
  
  
   def __len__(	self      :     Tuple		):
  
  
        '''simple docstring'''
  
  
  
  
  
  
        return len(tuple(iter(self		)		)		)
  
  
  
  
  
  
  
   def __str__(	self      :     Union[str, Any]		):
  
  
        '''simple docstring'''
  
  
  
  
  
  
        return " <- ".join(str(SCREAMING_SNAKE_CASE		) for item in self		)
  
  
  
  
  
  
  
   def       __lowercase      (	self      :     List[str]		):
  
  
        '''simple docstring'''
  
  
  
  
  
  
        return len(self		) == 0
  
  
  
  
  
  
  
   def       __lowercase      (	self      :     Union[str, Any]							,     SCREAMING_SNAKE_CASE      :     Any		):
  
  
        '''simple docstring'''
  
  
  
  
  
  
        UpperCamelCase__    :     int        =						Node(SCREAMING_SNAKE_CASE		)
        if self.is_empty():
             UpperCamelCase__    :     int        =						node
        else:
             assert isinstance(self.rear							,     SCREAMING_SNAKE_CASE		)
             UpperCamelCase__    :     Dict        =						node
             UpperCamelCase__    :     str        =						node
  
  
  
  
  
  
  
   def       __lowercase      (	self      :     Dict		):
  
  
        '''simple docstring'''
  
  
  
  
  
  
        if self.is_empty():
             raise IndexError("dequeue from empty queue"		)
        assert isinstance(self.front							,     SCREAMING_SNAKE_CASE		)
        UpperCamelCase__    :     Optional[int]        =						self.front
        UpperCamelCase__    :     List[str]        =						self.front.next
        if self.front is None:
             UpperCamelCase__    :     List[Any]        =						None
        return node.data
  
  
  
  
  
  
  
   def       __lowercase      (	self      :     str		):
  
  
        '''simple docstring'''
  
  
  
  
  
  
        UpperCamelCase__    :     Optional[int]        =						None
  
  
  if __name__ == "__main__":
   from doctest import testmod
  
   testmod()