Package PadAdiabatic

Pads image adiabatically (Neumann conditions, that is repeating boundary conditions). More...

Functions
def	PadAdiabatic

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Detailed Description

Pads image adiabatically (Neumann conditions, that is repeating boundary conditions).

PadAdiabatic is the padding function. We first allocate space for padded image.

 def PadAdiabatic(A):
 
 # Subroutine for Neumann adiabatic extension along the boundary,
 
 # Input : gray image A of n x m;
 # Output: an expanded image (across four boundary edges)
 
  (n, m) = A.shape
  Ae = np.zeros((n+2, m+2), 'f')

Copy over the original image into the interior of the padded image that will be returned by the function.

  for i in range(1,n+1):
     for j in range(1,m+1):
        Ae[i][j] = A[i-1][j-1]

Copy over each boundary to the boundary of the padded image, so that the padded image has values repeated at its boundaries

  #the four boundary edges
  for j in range(1,m+1):
     Ae[0][j] = A[0][j-1]
     Ae[n+1,j] = A[n-1][j-1]
 
  for i in range(1,n+1):
     Ae[i][0]=A[i-1][0]
     Ae[i][m+1]=A[i-1][m-1]

Also copy over the corners from the original image to the padded image.

  Ae[0][0]=A[0][0]
  Ae[0][m+1]=A[0][m-1]
  Ae[n+1][0]=A[n-1][0]
  Ae[n+1][m+1]=A[n-1][m-1]

Return the padded image.

  return Ae

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Function Documentation

def PadAdiabatic.PadAdiabatic

(

A

)

Parameters:

A

The input image which we wish to pad

Definition at line 84 of file PadAdiabatic.py.