Hi, I've finally had some luck with segmentation on
my images (trying to pick out granular "stuff" from
monochrome pics). I use the Subtract Background
feature from the Process menu and then the Maximum
Entropy thresholder. Miraculously, my controls are
negative (even bright ones) and my high and low
density mutants reflect a close approximation of what
should ideally be selected.
Now, I need to get more knowledge about what exactly
I'm doing and why it seems to be working well. Could
anyone give me a detailed but straightforward
explanation of the rolling ball method for subtracting
background and the maximum entropy method of
thresholding? I've got the papers from the mid to
late 80s that introduce the maximum entropy
thresholding method, but it's still not very clear why
it would be so good at picking out my clumpy brain
inclusions. Thanks,
Jolien
Jolien Connor, Ph.D.
Microscopist/Associate Instrumentation Technologist
Waisman Center Rm T635B (scope room)
Rm 213/215 lab
Rm 217 office
(608) 263-9192 lab/office
(608) 265-9653 microscope room
[hidden email]