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MartinMatta/getGaussianKernel.py

Created July 27, 2020 15:24
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getGaussianKernel.py
import numpy as np
def getGaussianKernel(size=3, sigma=1):
center = (int)(size/2)
kernel = np.zeros((size, size))
for x in range(-center, center+1):
for y in range(-center, center+1):
x1 = 2*np.pi*sigma**2
x2 = np.exp(-((x**2 + y**2) / (2*sigma**2)))
kernel[x+center, y+center] = (1/x1) * x2
return kernel
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