Hi Yuta,

Sorry, this slipped through the cracks. I haven't used random walker segmentation so I can't give you advice here... You might want to read the original publication [1], or, more practically, try out different betas on a logarithmic scale.

Juan.

[1] http://webdocs.cs.ualberta.ca/~nray1/CMPUT615/MRF/grady2006random.pdf




On Sat, Apr 4, 2015 at 12:56 AM, Yuta Sato <yutaxsato@gmail.com> wrote:


Dear skimage developers:
I would really appreciate to hear the answer on my question if it does worth.

Thanks

On Thu, Mar 12, 2015 at 4:04 PM, Yuta Sato <yutaxsato@gmail.com> wrote:
In the following skimage.segmentation.random_walker algorithm:
What is the range of 'beta' values that can be supplied?
I am working with a single band 8bit unsigned image.

Is it 0 to 255?


skimage.segmentation.random_walker(data, labels, beta=130, mode='bf', tol=0.001, copy=True,multichannel=False, return_full_prob=False, spacing=None)

beta : float [Penalization coefficient for the random walker motion (the greater beta, the more difficult the diffusion)]

Thanks for your support.

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