[ITK-users] 2D rigid transformation

[Bradley Lowekamp]

Hello,

You should be able to use the ExhaustiveOptimizer to do this. Here is a SimpleITK examples which does it [1], I it should be easy enough to write it into native C++ ITK code as needed.

HTH,
Brad

[1] http://www.itk.org/SimpleITKDoxygen/html/ImageRegistrationMethodExhaustive_8py-example.html

On May 15, 2015, at 2:13 PM, Pietro Nardelli <p.nardelli at umail.ucc.ie> wrote:

> Hello guys,
> 
> is there a way to have a 2D rigid registration that uses a specific number of rotations and chooses the best one? I have two images that are simply rotated with respect to each other, and I would like to register them using for example 36 rotations (therefore computing the mean squared error every 10 degrees). At the moment I am using the 2DRigidTransform with a specified center, with a regular step descent optimizer and the ImageRegistrationMethodv4. I saw that the transform has the function SetFixedParameters() but I am not really sure whether I understand correctly that that would tell the optimizer the angles (and translations) to use at every iteration. Could anyone please clarify this?
> 
> Thank you very much,
> Pietro
> 
> 
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