http://imagej.273.s1.nabble.com/1D-autocorrelation-function-tp3692494p3692497.html
> The correlation function is not a projection of the image.
I didn't state this. (Please read carefully!)
Sorry no, not for me.
understood the theory.
>--larry
>
>--
>Dr. Lawrence M. Anovitz
>MS 6110 PO Box 2008
>Aqueous and Geochemistry Group
>Oak Ridge National Laboratory
>Oak Ridge, Tennessee 37831-6110
>
>865-574-5034 : phone
>865-574-4961 : fax
>
>
[hidden email]
>
>
>
>
>
>On 4/4/09 7:58 AM, "Gluender" <
[hidden email]> wrote:
>
>> Larry,
>>
>> without reading the papers (not my job)...
>>
>> Could you please explain what happens with the second coordinate of
>> an image during the 1-D autocorrelation? Is the image projected in
>> one direction or is the desired result a series of 1-D
>> autocorrelation functions?
>>
>> As far as I know imagej does'nt provide neither 1-D
>> Fourier-transformation nor 1-D autocorrelation which in general is
>> computed by Fourier-retransformation of the power spectrum.
>>
>> However there are numerous applications for data/signal analyses that
>> allow the computation of both, autocorrelation and power spectrum of
>> 1-D signals. Hence you may export the 1-D data from imagej to one of
>> these applications and then perform the desired computations.
>>
>>
>>> Hi
>>> I am looking for a plug-in for ImageJ that will calculate the 1-D
>>> autocorrelation function from a binary image.
>>>
>>> As per
>>>
>>> Journal of Petroleum Science and Engineering 16 (1996) 251-261
>>> Statistical analysis of the porous microstructure as a method for
>>> estimating reservoir permeability
>>> M.A. Ioannidis, M.J. Kwiecien, I. Chatzis
>>>
>>> A fourier transform of this curve will then be used to extend my neutron
>>> scattering data to
>>> Lower Q values as per
>>
>> Because the Fourier transform of the autocorrelation function is the
>> power spectrum, I don't quite grasp why the latter isn't directly
>> computed, but I think I'm missing some essential information that you
>> may perhaps kindly provide.
>>
>>> Radlinski et al. (2004) Angstron-to-millimeter characterization of
>>> sedimentary rock microstructure.
>>> J Colloid and Interface Sci. 247, 607-612.
>>>
>>> Can anyone suggest what the correct plug-in might be ?
>>> Thanks.
>>>
>>> --Larry
>>> --
>>> Dr. Lawrence M. Anovitz
>>> MS 6110 PO Box 2008
>>> Aqueous and Geochemistry Group
>>> Oak Ridge National Laboratory
>>> Oak Ridge, Tennessee 37831-6110
>>>
>>> 865-574-5034 : phone
>>> 865-574-4961 : fax
>>>
>>>
[hidden email]
>>
>> HTH