






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    =       180
def       a__						(  A		,				A					):
   lowercase__						:	int         = k_size // 2
   lowercase__     ,					lowercase__						:	Union[str, Any]         = np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
   lowercase__						:	int         = (
       1
       / (2 * np.pi * sigma)
       * np.exp(-(np.square(A					) + np.square(A					)) / (2 * np.square(A					))					)
   )
   return g
def       a__						(  A		,				A		,				A					):
   lowercase__						:	Union[str, Any]         = np.zeros(A					)

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

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

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

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

   return destination
def       a__						(  A		,				A		,				A		,				A		,				A		,				A					):







   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__						:	List[Any]         = strong
         elif destination[row, col] <= threshold_low:
            lowercase__						:	Optional[Any]         = 0
         else:
            lowercase__						:	Any         = weak
def       a__						(  A		,				A		,				A		,				A					):







   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__						:	Optional[int]         = strong
            else:
               lowercase__						:	Dict         = 0
def       a__						(  A		,				A=15		,				A=30		,				A=128		,				A=255					):
   lowercase__						:	int         = img_convolve(A		,				gen_gaussian_kernel(9		,				sigma=1.4					)					)
   # get the gradient and degree by sobel_filter
   lowercase__     ,					lowercase__						:	Any         = sobel_filter(A					)
   lowercase__						:	List[Any]         = PI + np.radadeg(A					)

   lowercase__						:	Tuple         = suppress_non_maximum(image.shape		,				A		,				A					)

   detect_high_low_threshold(
       image.shape		,				A		,				A		,				A		,				A		,				A					)

   track_edge(image.shape		,				A		,				A		,				A					)

   return destination


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










from __future__ import annotations

from collections.abc import Iterator
from typing import Any
class        __snake_case:



 def __init__(	self   :   Union[str, Any] ,		UpperCAmelCase__   :   Any	):

    """simple docstring"""






    lowercase__						:	Any         = data
    lowercase__						:	Node | None         = None







 def __str__(	self   :   Dict	):

    """simple docstring"""






    return f'''{self.data}'''
class        __snake_case:



 def __init__(	self   :   Optional[Any]	):

    """simple docstring"""






    lowercase__						:	Node | None         = None
    lowercase__						:	Node | None         = None



 def __iter__(	self   :   Any	):

    """simple docstring"""






    lowercase__						:	Any         = self.front
    while node:
       yield node.data
       lowercase__						:	List[str]         = node.next



 def __len__(	self   :   Union[str, Any]	):

    """simple docstring"""






    return len(tuple(iter(self	)	)	)



 def __str__(	self   :   Optional[Any]	):

    """simple docstring"""






    return " <- ".join(str(UpperCAmelCase__	) for item in self	)



 def 						UpperCAmelCase    (	self   :   List[str]	):

    """simple docstring"""






    return len(self	) == 0



 def 						UpperCAmelCase    (	self   :   Optional[int] ,		UpperCAmelCase__   :   Any	):

    """simple docstring"""






    lowercase__						:	List[str]         = Node(UpperCAmelCase__	)
    if self.is_empty():
       lowercase__						:	List[Any]         = node
    else:
       assert isinstance(self.rear ,		UpperCAmelCase__	)
       lowercase__						:	Any         = node
       lowercase__						:	Union[str, Any]         = node



 def 						UpperCAmelCase    (	self   :   List[Any]	):

    """simple docstring"""






    if self.is_empty():
       raise IndexError("""dequeue from empty queue"""	)
    assert isinstance(self.front ,		UpperCAmelCase__	)
    lowercase__						:	Tuple         = self.front
    lowercase__						:	Any         = self.front.next
    if self.front is None:
       lowercase__						:	List[Any]         = None
    return node.data







 def 						UpperCAmelCase    (	self   :   Optional[Any]	):

    """simple docstring"""






    lowercase__						:	List[Any]         = None


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

 testmod()


