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Luca
Posts:
77
Registered:
6/6/12
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Image registration: linear vs. cubic interp and objective function minimization
Posted:
Jul 18, 2012 8:49 AM
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Hello,
I'm back at working with 3D images that have to be registered with an affine registration.
I compute the ssd between the moved and the target image as the objective function.
If I use linear interpolation to move the images I often risk local minima when using fminunc.
If I use cubic interoplation each objective function evaluation takes forever and the minimization becomes not usable in practice.
Does any of you have any suggestion about a practical workaround for this?
(i.e.: being able to keep using linear interpolation while avoiding local minima in fminunc?
My images are already very smoothed compared to the pixel size)
Or any other kind of suggestions?
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