thresholding to distinguish small features in noisy data

Posted by Daniel on Stack Overflow See other posts from Stack Overflow or by Daniel
Published on 2010-06-03T15:31:52Z Indexed on 2010/06/03 15:34 UTC
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Hi, I'm wondering what type of threshold would work well for distinguishing features that are very small (small in the xy sense) in comparison with the full spread, if that makes sense. The graythresh() function in Matlab that uses the Otsu method doesn't work too well for my data. Otsu is a clustering method where I think the # of pixels should be similar in each class, which is not the case for me so when I employ it I get a threshold that is way too small and falls well within a lot of the background noise that remains even after filtering.

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