[Insight-developers] feature matching recomendations?

[Miller, James V (GE, Research)]

If the plan is use the feature matching for registration, then I suggest
adding a new metric to ITK.

Parallel to this, we could consider allowing the image metrics to have to 
have a set of "samples" on which they are evaluated.  These samples
could be randomly generated or prescribed by a feature detector on the 
fixed image.

I would like to have ITK's registration framework expanded to include
more feature based registration techniques.  All that should be needed
is a new set of metrics.

Jim

-----Original Message-----
From: insight-developers-bounces+millerjv=crd.ge.com at itk.org
[mailto:insight-developers-bounces+millerjv=crd.ge.com at itk.org]On Behalf
Of Richard Beare
Sent: Tuesday, June 06, 2006 9:15 PM
To: insight-developers at itk.org
Subject: [Insight-developers] feature matching recomendations?


Hi,

Just wondering whether anyone had recommendations for implementation
of correlation type  feature matching. I'm interested in the standard
type of thing - normalised cross correlation between a neighbourhoods
centred on each  feature. There will be lots of pairs of features for
which the correlation must be calculated. There seem to be a couple of
options - adapting the registration metrics, using
NormalizeCorrelationImageFilter which doesn't seem to be quite right
for the purpose, or writing something new. Are there any other
alternatives?

Thanks
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