Posted by
Chris Clarin on
Dec 28, 2007; 11:08am
URL: http://imagej.273.s1.nabble.com/need-help-on-various-watershed-segmentation-algorithms-tp3697689.html
Hello,
I am looking for effective watershed segmentation algorithms that I can use
for my objective which is to segment clustered cells in a microscope image.
As of the moment, I am using these three options:
1) process->binary->watershed
2) process->binary->Distance Map->daniel sage's plugin (Watershed Algorithm)
3) blur->binary->Distance Map->daniel sage's plugin (Watershed Algorithm)
but somehow I think there are still other ways to segment properly. I have
come across this: Watershed Segmentation (
http://bigwww.epfl.ch/sage/soft/watershed/) again by Daniel Sage and I am
getting a little confused on the differences among all of the three
algorithms available: the one built in imagej (process->binary->watershed),
the watershed immersion algorithm created by daniel sage (the translation of
the one by Lee Vincent and Pierre Soille) and the new one I discovered
today, the watershed segmentation algorithm. can anyone explain to me their
differences? and what do you think is the most feasible that I could use for
segmenting badly clustered cells.
Thank you very much. Any help would be greatly appreciated.
Best regards,
Christine
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Christine T. Clarin
UP Department of Computer Science
Work/Fax: (02) 925-2366
Mobile: (+63917) 482-3606
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