Peak detection algorithm
guillaume at mitotic-machine.org
Fri Nov 30 06:24:25 EST 2012
I have implemented the (2D) Gaussian peak detection method described in
Segré et al. Nature Methods *5*, 8 (2008)
In short it is a patch based detection where a likelihood ratio
(Gaussian peak vs background noise) is computed on a moving window over
an image. The originality (and interest for my kind of fluorescence
microscopy problems) is that this is followed by a /deflation/ step,
where detected peaks are subtracted from the original image and a new
detection is performed on the so called deflated image. Also it is noise
resistant and there are not so many knobs to adjust (only window size,
sensibility and peak radius).
Is there an interest to include this in skimage?
The code is available on github there
<https://github.com/glyg/peak_detection>. I imagine there's room for
improvements, and more compatibility with skimage standards.
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