Re: random walker segmentation / blob detection
On Fri, Feb 10, 2012 at 03:39:15AM -0800, St�fan van der Walt wrote:
On Thu, Feb 9, 2012 at 9:06 AM, Michael Aye <kmichael.aye@gmail.com> wrote:
Can k-means clustering maybe indicate to me how well a clustering worked, something like a score? I basically have 3 phases in the images: dark blobs, grayish background, and bright ice patches. Maybe clustering could indicate by scores if a 2 or 3 phase clustering represents the image better?
Here's an implementation of ICM-based clustering:
I wonder if we should include this in the scikit--Emmanuelle, do people actually still use ICM segmentation?
I have to say that I don't know ICM segmentation. It looks very interesting (your code is impressively short!), would you have any reference to suggest for me to read about this algorithm? Thx, Emmanuelle
On Sun, Feb 12, 2012 at 7:16 AM, Emmanuelle Gouillart <emmanuelle.gouillart@nsup.org> wrote:
I have to say that I don't know ICM segmentation. It looks very interesting (your code is impressively short!), would you have any reference to suggest for me to read about this algorithm?
It is called Iterated Conditional Modes, but I have to admit that my implementation is based on a tea-time conversation, and not on any specific paper. The reference I have is: On the Statistical Analysis of Dirty Pictures Julian Besag Journal of the Royal Statistical Society. Series B (Methodological) Vol. 48, No. 3 (1986), pp. 259-302 Regards Stéfan
participants (2)
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Emmanuelle Gouillart
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Stéfan van der Walt