Good point. Since I almost always work in 3d, where you usually don't have isotropic sampling, I guess I didn't even notice :-).
--Tim On Saturday, March 28, 2015 04:58:00 PM Kevin Squire wrote: > More specifically: > > julia> import Images > > julia> x = rand(200,200); > > julia> y = Images.imfilter_gaussian(x, [5.0, 5.0]); > > It might be nice to have a version which takes a scalar for sigma and > assumes the same size filter in both/all directions. > > Cheers, > Kevin > > On Sat, Mar 28, 2015 at 4:54 PM, Tim Holy <[email protected]> wrote: > > The one in Images works just fine for plain Arrays (or any AbstractArray). > > > > --Tim > > > > On Saturday, March 28, 2015 04:14:31 PM DumpsterDoofus wrote: > > > I have a 2D Float64 array, and I would like to Gaussian filter it. I'm > > > familiar with the Mathematica equivalent, which is > > > `GaussianFilter[array, > > > sigma]`. Is there an equivalent in Julia? > > > > > > I know there is a fast Gaussian filter implemented in the Images > > > package, > > > but it (as best I can tell) only works for images, not numerical arrays. > > > > In > > > > > the Standard Library, there is conv2, but it uses FFT methods, which are > > > slow and unnecessary.
