[GRASS-user] Image segmentation

[Giuseppe Amatulli]

Hi all,



I would like to "segment" an image using a sort of Voronoi
<https://urldefense.proofpoint.com/v2/url?u=https-3A__en.wikipedia.org_wiki_Voronoi-5Fdiagram&d=CwMFaQ&c=-dg2m7zWuuDZ0MUcV7Sdqw&r=WXcS58IfKIlNshJRe1p51UO4aV2lTPDP2KeAvExEWkM&m=-q05ggwZ7xB31XO6ZJhmFYht4GKQ2nmFojS6li_t2As&s=Cqh6IsnZ5-oxcE2yVMRceyhb4KwTB2q3ihdDv8E4GWg&e=>
algorithm
on a cost surface instead of distance between point.



Below you can see an image where the black pixels identity areas with high
cost value. I would like to identify the "valley" between theses black
areas.



In the second image I draft by hand an ideal solution for few high cost
areas.



Which grass command can do this kind of delineation?



Thanks,


Giuseppe


[image: Inline images 1]

[image: Inline images 2]

-- 
Giuseppe Amatulli, Ph.D.

Research scientist at
Yale School of Forestry & Environmental Studies
Yale Center for Research Computing
Center for Science and Social Science Information
New Haven, 06511
Teaching: http://spatial-ecology.org
<https://urldefense.proofpoint.com/v2/url?u=http-3A__spatial-2Decology.org&d=CwMFaQ&c=-dg2m7zWuuDZ0MUcV7Sdqw&r=WXcS58IfKIlNshJRe1p51UO4aV2lTPDP2KeAvExEWkM&m=-q05ggwZ7xB31XO6ZJhmFYht4GKQ2nmFojS6li_t2As&s=2WUybjpe6r7Te9PU70VIWSGVIuSPRvgtrQM-Ej6RBuY&e=>
Work:  https://environment.yale.edu/profile/giuseppe-amatulli/
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.osgeo.org/pipermail/grass-user/attachments/20170118/5f03605d/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image.png
Type: image/png
Size: 21450 bytes
Desc: not available
URL: <http://lists.osgeo.org/pipermail/grass-user/attachments/20170118/5f03605d/attachment-0002.png>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image.png
Type: image/png
Size: 12339 bytes
Desc: not available
URL: <http://lists.osgeo.org/pipermail/grass-user/attachments/20170118/5f03605d/attachment-0003.png>