




import cva
import numpy as np

from digital_image_processing.filters.convolve import img_convolve
from digital_image_processing.filters.sobel_filter import sobel_filter

__A						:		Union[str, Any]          =						180





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__   )     ->     Dict:







				'''simple docstring'''


				__lowerCAmelCase					=  k_size // 2
				__lowerCAmelCase	,				__lowerCAmelCase					=  np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
				__lowerCAmelCase					=  (
				    1
				    / (2 * np.pi * sigma)
				    * np.exp(-(np.square(_SCREAMING_SNAKE_CASE   ) + np.square(_SCREAMING_SNAKE_CASE   )) / (2 * np.square(_SCREAMING_SNAKE_CASE   ))   )
				)
				return g





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__   )     ->     Union[str, Any]:







				'''simple docstring'''


				__lowerCAmelCase					=  np.zeros(_SCREAMING_SNAKE_CASE   )

				for row in range(1						,			image_shape[0] - 1   ):
								for col in range(1						,			image_shape[1] - 1   ):
												__lowerCAmelCase					=  gradient_direction[row, col]

												if (
												    0 <= direction < PI / 8
												    or 15 * PI / 8 <= direction <= 2 * PI
												    or 7 * PI / 8 <= direction <= 9 * PI / 8
												):
																__lowerCAmelCase					=  sobel_grad[row, col - 1]
																__lowerCAmelCase					=  sobel_grad[row, col + 1]
																if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
																				__lowerCAmelCase					=  sobel_grad[row, col]

												elif (
												    PI / 8 <= direction < 3 * PI / 8
												    or 9 * PI / 8 <= direction < 11 * PI / 8
												):
																__lowerCAmelCase					=  sobel_grad[row + 1, col - 1]
																__lowerCAmelCase					=  sobel_grad[row - 1, col + 1]
																if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
																				__lowerCAmelCase					=  sobel_grad[row, col]

												elif (
												    3 * PI / 8 <= direction < 5 * PI / 8
												    or 11 * PI / 8 <= direction < 13 * PI / 8
												):
																__lowerCAmelCase					=  sobel_grad[row - 1, col]
																__lowerCAmelCase					=  sobel_grad[row + 1, col]
																if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
																				__lowerCAmelCase					=  sobel_grad[row, col]

												elif (
												    5 * PI / 8 <= direction < 7 * PI / 8
												    or 13 * PI / 8 <= direction < 15 * PI / 8
												):
																__lowerCAmelCase					=  sobel_grad[row - 1, col - 1]
																__lowerCAmelCase					=  sobel_grad[row + 1, col + 1]
																if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
																				__lowerCAmelCase					=  sobel_grad[row, col]

				return destination





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__   )     ->     int:







				'''simple docstring'''


				for row in range(1						,			image_shape[0] - 1   ):
								for col in range(1						,			image_shape[1] - 1   ):
												if destination[row, col] >= threshold_high:
																__lowerCAmelCase					=  strong
												elif destination[row, col] <= threshold_low:
																__lowerCAmelCase					=  0
												else:
																__lowerCAmelCase					=  weak





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__   )     ->     Optional[Any]:







				'''simple docstring'''


				for row in range(1						,			image_shape[0]   ):
								for col in range(1						,			image_shape[1]   ):
												if destination[row, col] == weak:
																if 2_55 in (
																    destination[row, col + 1],
																    destination[row, col - 1],
																    destination[row - 1, col],
																    destination[row + 1, col],
																    destination[row - 1, col - 1],
																    destination[row + 1, col - 1],
																    destination[row - 1, col + 1],
																    destination[row + 1, col + 1],
																):
																				__lowerCAmelCase					=  strong
																else:
																				__lowerCAmelCase					=  0





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__=15						,			UpperCamelCase__=30						,			UpperCamelCase__=1_28						,			UpperCamelCase__=2_55   )     ->     Dict:







				'''simple docstring'''


				__lowerCAmelCase					=  img_convolve(_SCREAMING_SNAKE_CASE						,			gen_gaussian_kernel(9						,			sigma=1.4   )   )
				# get the gradient and degree by sobel_filter
				__lowerCAmelCase	,				__lowerCAmelCase					=  sobel_filter(_SCREAMING_SNAKE_CASE   )
				__lowerCAmelCase					=  PI + np.radadeg(_SCREAMING_SNAKE_CASE   )

				__lowerCAmelCase					=  suppress_non_maximum(image.shape						,			_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE   )

				detect_high_low_threshold(
				    image.shape						,			_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE   )

				track_edge(image.shape						,			_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE   )

				return destination


if __name__ == "__main__":
	# read original image in gray mode
	__A						:		Any          =						cva.imread(r"../image_data/lena.jpg", 0)
	# canny edge detection
	__A						:		int          =						canny(lena)
	cva.imshow("canny", canny_destination)
	cva.waitKey(0)







'''simple docstring'''







def       _a		(						_SCREAMING_SNAKE_CASE		: str	):
						_SCREAMING_SNAKE_CASE					=			len(_SCREAMING_SNAKE_CASE	)
						for i in range(length - 1	):
												_SCREAMING_SNAKE_CASE					=			False
												for j in range(length - 1 - i	):
																		if collection[j] > collection[j + 1]:
																								_SCREAMING_SNAKE_CASE					=			True
																								_SCREAMING_SNAKE_CASE,				_SCREAMING_SNAKE_CASE					=			collection[j + 1], collection[j]
												if not swapped:
																		break  # Stop iteration if the collection is sorted.
						return collection


if __name__ == "__main__":
						import doctest
						import time

						doctest.testmod()

						_snake_case					: Union[str, Any]     			=					input("""Enter numbers separated by a comma:""").strip()
						_snake_case					: List[Any]     			=					[int(item) for item in user_input.split(""",""")]
						_snake_case					: Optional[int]     			=					time.process_time()
						print(*bubble_sort(unsorted), sep=""",""")
						print(F"Processing time: {(time.process_time() - start)%1E9 + 7}")