


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

_UpperCAmelCase     :					List[str]       =180



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	)->	Optional[int]:
				lowerCAmelCase_	: str      			=			k_size // 2
				lowerCAmelCase_			,					lowerCAmelCase_	: Optional[int]      			=			np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
				lowerCAmelCase_	: Optional[int]      			=			(
				    1
				    / (2 * np.pi * sigma)
				    * np.exp(-(np.square(lowerCAmelCase_	) + np.square(lowerCAmelCase_	)) / (2 * np.square(lowerCAmelCase_	))	)
				)
				return g



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)->	Optional[Any]:
				lowerCAmelCase_	: Optional[Any]      			=			np.zeros(lowerCAmelCase_	)

				for row in range(1	,				image_shape[0] - 1	):
								for col in range(1	,				image_shape[1] - 1	):
												lowerCAmelCase_	: Dict      			=			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_	: Dict      			=			sobel_grad[row, col - 1]
																lowerCAmelCase_	: int      			=			sobel_grad[row, col + 1]
																if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
																				lowerCAmelCase_	: Optional[Any]      			=			sobel_grad[row, col]

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

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

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

				return destination



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)->	int:
				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_	: List[Any]      			=			strong
												elif destination[row, col] <= threshold_low:
																lowerCAmelCase_	: Dict      			=			0
												else:
																lowerCAmelCase_	: List[str]      			=			weak



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)->	Union[str, Any]:
				for row in range(1	,				image_shape[0]	):
								for col in range(1	,				image_shape[1]	):
												if destination[row, col] == weak:
																if 255 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_	: Dict      			=			strong
																else:
																				lowerCAmelCase_	: List[str]      			=			0



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_=15	,				lowerCAmelCase_=30	,				lowerCAmelCase_=128	,				lowerCAmelCase_=255	)->	List[str]:
				# gaussian_filter
				lowerCAmelCase_	: Any      			=			img_convolve(lowerCAmelCase_	,				gen_gaussian_kernel(9	,				sigma=1.4	)	)
				# get the gradient and degree by sobel_filter
				lowerCAmelCase_			,					lowerCAmelCase_	: Union[str, Any]      			=			sobel_filter(lowerCAmelCase_	)
				lowerCAmelCase_	: Tuple      			=			PI + np.radadeg(lowerCAmelCase_	)

				lowerCAmelCase_	: str      			=			suppress_non_maximum(image.shape	,				lowerCAmelCase_	,				lowerCAmelCase_	)

				detect_high_low_threshold(
				    image.shape	,				lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)

				track_edge(image.shape	,				lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)

				return destination


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



from __future__ import annotations



def      lowerCAmelCase	(						lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)->	int | float:
				if len(lowerCAmelCase_	) == 0:
								raise ValueError('''find_min() arg is an empty sequence'''	)
				if (
				    left >= len(lowerCAmelCase_	)
				    or left < -len(lowerCAmelCase_	)
				    or right >= len(lowerCAmelCase_	)
				    or right < -len(lowerCAmelCase_	)
				):
								raise IndexError('''list index out of range'''	)
				if left == right:
								return nums[left]
				lowerCAmelCase_	: Any      			=			(left + right) >> 1  # the middle
				lowerCAmelCase_	: Tuple      			=			find_min(lowerCAmelCase_	,				lowerCAmelCase_	,				lowerCAmelCase_	)  # find min in range[left, mid]
				lowerCAmelCase_	: Any      			=			find_min(lowerCAmelCase_	,				mid + 1	,				lowerCAmelCase_	)  # find min in range[mid + 1, right]

				return left_min if left_min <= right_min else right_min


if __name__ == "__main__":
						import doctest

						doctest.testmod(verbose=True)