http://imagej.273.s1.nabble.com/Fwd-Phansalkar-local-thresholding-tp5007401p5007407.html
> Yes -as stated, I already have that info. The question was: is there
provides such access. I was able to download it here at UW-Madison.
> Yes -as stated, I already have that info. The question was: is there
> more?
>
> -Kenneth Sloan
> (von meinem iPhone4S gesendet)
>
> > On Apr 23, 2014, at 9:30, Gabriel Landini <
[hidden email]> wrote:
> >
> >> On Wednesday 23 Apr 2014 08:33:53 you wrote:
> >> Can someone please point me at any published descriptions of the method,
> >> testing, or use of the “Phansalkar” method of local thresholding? I see
> >> one reference in the ImageJ docs; I’m looking for more.
> >
> > From the Auto Local Threshold info:
> >
>
http://www.mecourse.com/landinig/software/autothreshold/autothreshold.html> >
> > Phansalkar
> > This is a modification of Sauvola's thresholding method to deal with low
> > contrast images.
> >
> > 1. Phansalskar N. et al. Adaptive local thresholding for detection of
> nuclei
> > in diversity stained cytology images. International Conference on
> > Communications and Signal Processing (ICCSP), 2011, 218-220.
> >
> > In this method, the threshold t is computed as:
> >
> > t = mean * (1 + p * exp(-q * mean) + k * ((stdev / r) - 1))
> >
> > where mean and stdev are the local mean and standard deviation
> respectively.
> > Phansalkar recommends k = 0.25, r = 0.5, p = 2 and q = 10. In this
> plugin, k
> > and r are the parameters 1 and 2 respectively, but the values of p and q
> are
> > fixed.
> > Parameter 1: is the k value. The default value is 0.25. Any other number
> than
> > 0 will change its value.
> > Parameter 2: is the r value. The default value is 0.5. This value is
> different
> > from Sauvola's because it uses the normalised intensity of the image. Any
> > other number than 0 will change its value
> > Implemented from Phansalkar's paper description, although this version
> uses a
> > circular rather than rectangular local window.
> >
> > --
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