




'''simple docstring'''







import cva
import numpy as np






def 		_lowercase		(	lowercase_						,							lowercase_						,							lowercase_						,							lowercase_  ):



		'''simple docstring'''







		try:
				return int(image[x_coordinate][y_coordinate] >= center  )
		except (IndexError, TypeError):
				return 0






def 		_lowercase		(	lowercase_						,							lowercase_						,							lowercase_  ):



		'''simple docstring'''







		_snake_case	       =       image[x_coordinate][y_coordinate]
		_snake_case	       =       [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
		_snake_case	       =       [
		    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							:						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							:						List[str]								=  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							:						Any								=  local_binary_value(image, i, j)

						cva.imshow('local binary pattern', lbp_image)
						cva.waitKey(0)
						cva.destroyAllWindows()











'''simple docstring'''







def 		_lowercase		(	lowercase_  ):



		'''simple docstring'''







		return "".join(chr(ord(lowercase_  ) + 32  ) if "A" <= char <= "Z" else char for char in word  )


if __name__ == "__main__":
						from doctest import testmod

						testmod()





