Closed alihaydaroglu closed 1 year ago
raising the normalization (sdmov) to an exponent seems to address the issue? I think this happens because of aggressive normalization, so dark but noisy areas become too bright
Title in images below are the "degree" of normalization (e.g. exponential we raise sdmov to). 0 is no normalization, 1.0 is standard normalization, 0.8 is with sdmov**0.8
I will add this as a parameter and test on problematic datasets. This one is from /mnt/md0/runs/s3d-AH007_2022-03-28_2-4-5
sdnorm_exp
being set lower fixes it for most cases. For smaller blood vessels, sometimes the gaussian neuropil filter creates artifacts on either side of the vessel. In this case I'd recommend setting params['npil_filt_type'] = unif
and doing a sweep of neuropil filter sizes.
this only happens occasionally, but it's annoying when it does