[ITK-users] one dimensional median filter, incredibly slow

[Richard Beare]

Those old rank filters were designed to do big kernels quickly - they
summarize the contents of the kernel in a histogram which needs to be
updated as the kernel goes from one voxel to the next.
For a tiny kernel the histogram overhead is going to kill the performance,
and a direct approach will be better.

On Thu, Apr 9, 2015 at 12:01 PM, Matt McCormick <matt.mccormick at kitware.com>
wrote:

> Hi jp,
>
> How does the MedianImageFilter compare?
>
> Thanks,
> Matt
>
> On Wed, Apr 8, 2015 at 10:46 AM, jp <cervellone at gmail.com> wrote:
> > Dear all,
> > i would like to apply a median filter but only in one image dimension,
> so i
> > use the rank image filter with a box structuring  element. of radius
> 0,0,1.
> > While the result is what i want the speed is abysmal.
> > Does anyone have an idea ?
> >
> > I am currenlly using itk 4.4.2 through python.
> >
> > Here is the code:
> >
> > strel = itk.FlatStructuringElement[3].Box([0,0,1])
> > median = itk.RankImageFilter[itkType,itkType, strel].New(reader,
> > Kernel=strel)
> >
> > Thanks very much
> >
> > jp
> >
> >
> >
> >
> > --
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> http://itk-users.7.n7.nabble.com/one-dimensional-median-filter-incredibly-slow-tp35473.html
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