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Fixes #278: LoG scale normalization #279

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Fixes #278: LoG scale normalization #279

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4 changes: 2 additions & 2 deletions src/extrema.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ It has fields:
- σ: the value of σ which lead to the largest `-LoG`-filtered amplitude at this location
- amplitude: the value of the `-LoG(σ)`-filtered image at the peak

Note that the radius is equal to σ√2.
Note that the radius is equal to σ√N for a N-dimensional image.

See also: [`blob_LoG`](@ref).
"""
Expand Down Expand Up @@ -96,7 +96,7 @@ function multiLoG(img::AbstractArray{T,N}, sigmas, σshape) where {T,N}
@inbounds for (isigma, σ) in enumerate(sigmas)
LoG_slice = @view img_LoG[isigma, colons...]
imfilter!(LoG_slice, img, Kernel.LoG(ntuple(i->σ*σshape[i], Val(N))), "reflect")
LoG_slice .*= -σ
LoG_slice .*= -σ^2
end
return img_LoG
end
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