Multispectral random walker segmentation
Josh Warner
silvertrumpet999 at gmail.com
Thu Aug 23 17:50:05 EDT 2012
I'd be happy to include your suggested changes, if it's simpler to go that
route than have two separate pull requests. I don't want to step on any
toes regarding attribution, though.
Having the 'soft' probabilities available is definitely a useful
improvement (cleanup, fuzzy post-processing), and I'm glad you implemented
that!
Josh
On Monday, August 20, 2012 4:11:45 PM UTC-5, Emmanuelle Gouillart wrote:
>
> Hi Josh,
>
> extending the random walker algorithm to multichannel images sounds like
> a very nice idea, and I'm sure that it would be useful for other people
> (including myself!).
>
> In fact, I had started working on some improvements of the random walker
> code but didn't go as far as proposing the pull request. I have a branch
> for that on
> https://github.com/emmanuelle/scikits.image/tree/fix_random_walker, maybe
> you can include these changes when you contribute your changes?
>
> Cheers,
> Emmanuelle
>
> On Mon, Aug 20, 2012 at 10:03:53AM -0700, Josh Warner wrote:
> > I have modified the existing random walker algorithm into a fully
> > backwards-compatible version which allows inclusion of multispectral
> data,
> > e.g. RGBA channels or different (registered) image modalities. �I
> really
> > liked the existing algorithm, so I just extended it rather than write
> one
> > from scratch for my own purposes. �The overhead is minimal;
> multispectral
> > processing is triggered if data is passed as an iterable of arrays
> rather
> > than just an array. �
> > This amounts to combining image gradients as sqrt(sum-of-squares) and
> > dividing by sqrt(#channels). �For obvious reasons, the several
> channels
> > must be pre-processed to have data on similar ranges by whitening or
> a
> > similar method. �Not usually a problem for RGB, but in medical
> imaging
> > this rears its head.
> > Would this be of interest to the community? �I'd be happy to
> contribute
> > the changes if there is interest.
>
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