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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