[Insight-users] optimization methods other than registration

[Karthik Krishnan]

The optimization framework is flexible enough to support these needs.
We use it for optimization tasks other than registration. It boils
down to writing your metric (itk::PowerLawMetric) that derives from
itk::SingleValuedCostFunction, overrides the methods that compute the
value from the two parameters that are passed to it and the
GetNumberOfParameters, which is 2 in your case. Use an optimizer like
the amoeba. After this works, you can optionally try and compute the
analytical derivative by overriding GetValueAndDerivative.

thx

On 7/3/11, barbababa <tonimuusimaki at gmail.com> wrote:
>
> Hello all,
>
> i am trying to get grap out of the optimization procedure in ITK. It seems
> that the optimization
> always needs a method like ITK::ImageRegistrationMethod to compute. I have
> been trying to
> search other methods but without any luck. Is the optimization intended just
> for registration or
> is there other uses of it? examples?
> For example how could i fit a power law equation A*e^r to a noisy image data
> and the output would the
> numbers A and r?
>
> thanks,
> toni
>
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