| A way to measure image blur / glow? [message #69426] |
Fri, 08 January 2010 18:13 |
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James[2]
Messages: 44
Registered: November 2009
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I'm working with a set of vascular images, taken on a cryo-microtome
(see my post "An Introduction" from Nov. 17 for more info). The
images are acquired by filling blood vessels of a biological sample
with fluorescent polymer, and repeatedly taking photographs after
slicing off a tiny layer of tissue. One major problem is that
fluorescent material behind the current slice gives off enough light
to show up in the image, resulting in a diffuse glow around the
vessels of interest.
I've been trying out the next-image subtraction algorithm (
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2743343/ ), wherein the
next slice behind the image of interest is blurred, attenuated, and
subtracted from the current slice. The preliminary results look very
good, but I'm looking for a way to automate the choice of optimal
parameter choices for the Gaussian blur radius and the attenuation
factor. So basically, I'm looking for a measure of how sharp, or glow-
free, an image is. I've considered the fact that glow is not quite
the same thing as blur. With glow, the features are still sharp, but
there are haloes of not-as-bright pixels around them. With blur,
there are no sharp edges.
My professor suggested measuring the magnitude of low frequencies in
the Fourier Transform of the image, but that lead to the computer
picking the image where nearly all of the data - glow or not - had
been subtracted! So basically, I'm asking if anyone knows a good way
to measure this without inadvertently subtracting useful data or
creating false data.
Thanks,
James Preiss
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