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  1. import numpy as np
  2.  
  3. def LoG(sigma):
  4.     #window size 
  5.     n = np.ceil(sigma*6)
  6.     n = 2
  7.     y,x = np.ogrid[-n//2:n//2+1,-n//2:n//2+1]
  8.     y_filter = np.exp(-(y*y/(2.*sigma*sigma)))
  9.     x_filter = np.exp(-(x*x/(2.*sigma*sigma)))
  10.     print(x + y)
  11.     final_filter = (-(2*sigma**2) + (x*x + y*y) ) *  (x_filter*y_filter) * (1/(2*np.pi*sigma**4))
  12.     return final_filter
  13.  
  14. LoG(1)
Success #stdin #stdout 0.05s 24164KB
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[[-2 -1  0]
 [-1  0  1]
 [ 0  1  2]]
https://ideone.com/w3WRva
language:
Python (cpython 2.7.16)
created:
3 years ago
visibility:
public

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