
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

SCREAMING_SNAKE_CASE__							=    180




def 							__SCREAMING_SNAKE_CASE       (		SCREAMING_SNAKE_CASE	:				List[Any]   ,							SCREAMING_SNAKE_CASE	:				Optional[Any]      )					->						Tuple:
				__lowercase								= k_size // 2
				__lowercase		, __lowercase								= np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
				__lowercase								= (
				    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 							__SCREAMING_SNAKE_CASE       (		SCREAMING_SNAKE_CASE	:				List[Any]   ,							SCREAMING_SNAKE_CASE	:				Dict   ,							SCREAMING_SNAKE_CASE	:				int      )					->						Tuple:
				__lowercase								= np.zeros(SCREAMING_SNAKE_CASE      )

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

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

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

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

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

				return destination




def 							__SCREAMING_SNAKE_CASE       (		SCREAMING_SNAKE_CASE	:				Union[str, Any]   ,							SCREAMING_SNAKE_CASE	:				Optional[int]   ,							SCREAMING_SNAKE_CASE	:				Optional[Any]   ,							SCREAMING_SNAKE_CASE	:				Union[str, Any]   ,							SCREAMING_SNAKE_CASE	:				Tuple   ,							SCREAMING_SNAKE_CASE	:				Optional[Any]      )					->						str:
				for row in range(1   ,							image_shape[0] - 1      ):
								for col in range(1   ,							image_shape[1] - 1      ):
												if destination[row, col] >= threshold_high:
																__lowercase								= strong
												elif destination[row, col] <= threshold_low:
																__lowercase								= 0
												else:
																__lowercase								= weak




def 							__SCREAMING_SNAKE_CASE       (		SCREAMING_SNAKE_CASE	:				List[str]   ,							SCREAMING_SNAKE_CASE	:				Optional[Any]   ,							SCREAMING_SNAKE_CASE	:				Dict   ,							SCREAMING_SNAKE_CASE	:				Union[str, Any]      )					->						int:
				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],
																):
																				__lowercase								= strong
																else:
																				__lowercase								= 0




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

				__lowercase								= 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
							SCREAMING_SNAKE_CASE__							=    cva.imread(r"""../image_data/lena.jpg""", 0)
							# canny edge detection
							SCREAMING_SNAKE_CASE__							=    canny(lena)
							cva.imshow("""canny""", canny_destination)
							cva.waitKey(0)







from math import pi




def 							__SCREAMING_SNAKE_CASE       (		SCREAMING_SNAKE_CASE	:				float      )					->						float:
				return degree / (180 / pi)


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

							testmod()





