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efficient comparing 1D and 3D arrays [message #60687]

Wed, 11 June 2008 03:28

Jelle
Messages: 19
Registered: May 2008

Junior Member

Hi All,

At the moment I am trying to find pixels that fall within a certain
value range for each pixel, as part of a recursive image exploration
routine.

Say I have the following data:

imgdata = fltarr(NB, NS, NL)
MinVals = fltarr(NB)
MaxVals = fltarr(NB)

Now I would like to efficiently find out
where( (imgdata GT MinVals) and (imgdata LT MaxVals) )

I have been pottering along trying to do this with the full arrays,
but the only way I can get an answer is by using many loops comparing
individual bands or pixels. There must be an easy memory-efficient way
to do this..?

Does anybody have some suggestions for me here?

Cheers,

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