CODEWITHSUNDEEP
pythonmathscipygaussian
Kalina
Kalina

Reputation: 5594

How to apply a 3D gaussian filter with a kernel that peaks at 1?

I am currently doing this to my array:

dataCube = scipy.ndimage.filters.gaussian_filter(dataCube, sigma, truncate=8)

But gaussian_filter() doesn't seem to have an option of ensuring that the peak/central value of the gaussian is 1. How can I do this?

Would multiplying dataCube * np.sqrt(2*np.pi * sigma**2) do the trick?

Upvotes: 3

Views: 2445

Answers (1)

tituszban
tituszban

Reputation: 5152

You could just divide the whole kernel by the middle value, keeping the shape, but normalizing the peak to 1.

Upvotes: 1

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