



import numpy as np
from PIL import Image




def 						UpperCAmelCase (    _lowerCamelCase     ):
			A							,			A							,			A				:       Union[str, Any]														=    rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
			return 0.29_89 * r + 0.58_70 * g + 0.11_40 * b




def 						UpperCAmelCase (    _lowerCamelCase     ):
			return (gray > 127) & (gray <= 255)




def 						UpperCAmelCase (    _lowerCamelCase			,     _lowerCamelCase     ):
			A				:       Any														=    np.zeros_like(_lowerCamelCase     )
			A				:       Any														=    np.zeros(
			    (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1)     )

			# Copy image to padded image
			A				:       Optional[int]														=    image

			# Iterate over image & apply kernel
			for x in range(image.shape[1]     ):
						for y in range(image.shape[0]     ):
									A				:       List[Any]														=    (
									    kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
									).sum()
									A				:       Optional[int]														=    int(summation == 5     )
			return output


# kernel to be applied
__SCREAMING_SNAKE_CASE     =	np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])

if __name__ == "__main__":
							# read original image
							__SCREAMING_SNAKE_CASE     =	np.array(Image.open(r"""..\image_data\lena.jpg"""))
							# Apply erosion operation to a binary image
							__SCREAMING_SNAKE_CASE     =	erosion(grayabinary(rgbagray(image)), structuring_element)
							# Save the output image
							__SCREAMING_SNAKE_CASE     =	Image.fromarray(output).convert("""RGB""")
							pil_img.save("""result_erosion.png""")




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


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

							testmod()