Posted by
Herbie on
Nov 01, 2018; 4:50pm
URL: http://imagej.273.s1.nabble.com/Frequency-Filtering-in-Time-Dimension-tp5021367p5021389.html
Jacob,
I didn't want to imply this:
"It seems that you are saying that ImageJ is limited in scope to static
images"
What I had in mind are real-time signals.
"Have I misunderstood you?"
Yes.
ImageJ isn't capable of dealing with real-time temporal signals.
If you have a temporal sequence of images available, the sequence is no
longer temporal, it is a static stack of images and all the problems
occurring with causal temporal processing are irrelevant because the
stack of images is a-causal from an signal processing point of view. Of
course you know that e.g. slice 2 comes before slice 3 but it is no
problem to have e.g. a convolution kernel that extends from slice 1 to
slice 5. In real-time processing this isn't possible as long as slice 5
is available...
I hope this makes things a bit clearer.
Regards
Herbie
::::::::::::::::::::::::::::::::::::::::::
Am 01.11.18 um 16:40 schrieb Jacob Keller:
> Because here and with ImageJ we deal with images,
> filter-characteristics
> that are typical for the processing of causal time-signals don't play a
> role and I don't think that they are or will be implemented for use
> with
> ImageJ.
>
>
> It seems that you are saying that ImageJ is limited in scope to static
> images? Huh? I see a lot of folks using it for time series, and there
> are quite a few plugins that incorporate time. I have noticed generally
> a bit of a split in the community regarding time series, but it seems to
> me that time is a critical component of biological processes, and at the
> level of microscopy is quite accessible, so why limit imageJ to static
> images? Have I misunderstood you?
>
> Jacob
>
>
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