Yes, as you say and as suggested by Brian, I think using the background from the watershed would be the proper way. You could also find the mean intensity of each label and set to background those with a mean intensity below some threshold. The ndimage.labeled_comprehension function should be able to do this: https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.labeled_comprehension.html#scipy-ndimage-labeled-comprehension
as well as our own regionprops. On 26 Apr 2017, 8:01 AM +1000, Cedric Espenel <espe...@stanford.edu>, wrote: > Hi, > > Sorry, I guess I can just mask the result with the watershed segmentation. I > guess I wonder if it is the proper way to do it? And also, from your point of > view, if it's the way to go to segment these cells or if you think of a > better way? > > Cedric > _______________________________________________ > scikit-image mailing list > scikit-image@python.org > https://mail.python.org/mailman/listinfo/scikit-image
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