>Hi,
>
>I have a time series of 200 images and would like to analyse the
>autocorrelation of the intensity for each pixel between frames. I
>tried using the Image CorrelationJ plugin (www.gcsca.net) which
>performed part of the analysis I wanted but only between each pair
>of adjacent frames (ie frame 1 vs 2, 2 vs 3,...etc). Ideally I would
>like to be able to preform the same analysis over an ever expanding
>interval size up to the maximum (ie between frame 1 and 200) with an
>output of frame interval size, mean R value, SD, n.
>
>Does anybody know if such a macro/plugin exists. If not would
>anybody be interested in writing such a plugin?
>
>Colin
>--
>Dr Colin Rickman
>Centre for Integrative Physiology
>School of Biomedical Sciences
>University of Edinburgh
>Hugh Robson Building
>George Square
>Edinburgh
>EH8 9XD
>
>Tel: 0131 (6)511512
>Fax: 0131 (6)503128
Dear Colin Rickman,
if I understand your project correctly, the resulting ACF will
consist in a series of 399 images, each of the "n x m"-size of the
images of the input time series. In other words, autocorrelation is
to be performed along the time axis only, but separately for each
pixel position which means the computation of "n x m" one-dimensional
ACFs.
Essentially this is a one-dimensional signal processing task. If you
don't want to code it as a ImageJ macro, you may export the "n x m"
pixel time series to one of the many signal processing packages.
Best
--
Herbie
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