


import cva
import numpy as np
def 							_UpperCAmelCase    (UpperCamelCase__					:  np.ndarray    ,							UpperCamelCase__					:  int    ,							UpperCamelCase__					:  int    ,							UpperCamelCase__					:  int						):

       try:
              return int(image[x_coordinate][y_coordinate] >= center						)
       except (IndexError, TypeError):
              return 0
def 							_UpperCAmelCase    (UpperCamelCase__					:  np.ndarray    ,							UpperCamelCase__					:  int    ,							UpperCamelCase__					:  int						):
       _A				:	Tuple       =			image[x_coordinate][y_coordinate]
       _A				:	int       =			[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
       _A				:	str       =			[
           get_neighbors_pixel(UpperCamelCase__    ,							x_coordinate - 1    ,							y_coordinate + 1    ,							UpperCamelCase__						),
           get_neighbors_pixel(UpperCamelCase__    ,							UpperCamelCase__    ,							y_coordinate + 1    ,							UpperCamelCase__						),
           get_neighbors_pixel(UpperCamelCase__    ,							x_coordinate - 1    ,							UpperCamelCase__    ,							UpperCamelCase__						),
           get_neighbors_pixel(UpperCamelCase__    ,							x_coordinate + 1    ,							y_coordinate + 1    ,							UpperCamelCase__						),
           get_neighbors_pixel(UpperCamelCase__    ,							x_coordinate + 1    ,							UpperCamelCase__    ,							UpperCamelCase__						),
           get_neighbors_pixel(UpperCamelCase__    ,							x_coordinate + 1    ,							y_coordinate - 1    ,							UpperCamelCase__						),
           get_neighbors_pixel(UpperCamelCase__    ,							UpperCamelCase__    ,							y_coordinate - 1    ,							UpperCamelCase__						),
           get_neighbors_pixel(UpperCamelCase__    ,							x_coordinate - 1    ,							y_coordinate - 1    ,							UpperCamelCase__						),
       ]

       # Converting the binary value to decimal.
       return sum(
           binary_value * power for binary_value, power in zip(UpperCamelCase__    ,							UpperCamelCase__						)						)


if __name__ == "__main__":
    # Reading the image and converting it to grayscale.
    lowerCAmelCase__						=			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__						=			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__						=			local_binary_value(image, i, j)

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




def 							_UpperCAmelCase    (UpperCamelCase__					:  str						):
       _A				:	Tuple       =			str(UpperCamelCase__						).strip()
       if not bin_string:
              raise ValueError("Empty string was passed to the function"						)
       _A				:	Dict       =			bin_string[0] == "-"
       if is_negative:
              _A				:	Any       =			bin_string[1:]
       if not all(char in "01" for char in bin_string						):
              raise ValueError("Non-binary value was passed to the function"						)
       _A				:	Union[str, Any]       =			0
       for char in bin_string:
              _A				:	Union[str, Any]       =			2 * decimal_number + int(UpperCamelCase__						)
       return -decimal_number if is_negative else decimal_number


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

    testmod()
