[Insight-users] Anisotropic Diffusion Filter vs simple smoothing filter

[Daniel Mace]

Maria,

The main difference is that Anisotropic Diffusion Filters are edge 
preserving filters-- after filtering most of the noise should be 
smoothed out, but the edges (e.g. an object) should still be just as 
sharp, if not more, than before.  I guess you could also say the other 
main difference is that they are an iterative smoothing filter (although 
there are iterative smoothing filters that are not diffusion filters).

There are many occasions where smoothing with a simple (e.g. Average) 
filter would make your data worse than before (e.g. smoothing the edges 
too much, not being able to detect the object).  This doesn't happen too 
often with diffusion filters (at least in my experiences).

Cheers,
Dan

Maria Cira Avvinto wrote:
> Hi to everybody,
> I have a little question:
> Could anyone tell me in which ways an Anisotropic Diffusion Filter is
> considered better than a simple smoothing filter?
>
> Thanks in advance
>
> Maria
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