[ITK-users] [ITK] ImageToImageMetric in Python

[Matt McCormick]

Hi Sven,

To find the type of MetricType::TransformParametersType, look at the
Doxygen documentation for NormalizedCorrelationImageToImageMetric [1].
 Following the typedef trail [2], the type is OptimizerParameters [3],
which can be created with

  displacement = itk.OptimizerParameters.F( Dimension )

Hope this helps,
Matt

[1] http://www.itk.org/Doxygen/html/classitk_1_1NormalizedCorrelationImageToImageMetric.html

[2] http://www.itk.org/Doxygen/html/classitk_1_1TransformBaseTemplate.html

[3] http://www.itk.org/Doxygen/html/classitk_1_1OptimizerParameters.html

On Tue, Apr 8, 2014 at 1:34 PM, Prevrhal, Sven
<Sven.Prevrhal at philips.com> wrote:
> I am looking at the itk Software Guide to figure out how to implement this
> in Python. I have:
>
>
>
>         nccMetric = itk.NormalizedCorrelationImageToImageMetric.IF3IF3.New()
>
>         nccMetric.SetTransform(itk.IdentityTransform.D3.New())
>
>
> nccMetric.SetInterpolator(itk.NearestNeighborInterpolateImageFunction.IF3D.New())
>
>         nccMetric.SetFixedImage(fixedImage)
>
>         nccMetric.SetMovingImage(movingImage)
>
>
>
> which I believe works fine. I am getting stumped by the translation of this
> to Python:
>
>
>
>   # ITK software guide page 390
>
>   # C++ code: MetricType::TransformParametersType displacement( Dimension );
>
>         displacement = nccMetric.??
>
>
>
> After which
>
>
>
> value = nccMetric.GetValue( displacement )
>
>
>
> should work fine. Anybody knows this?
>
>
>
> Regards,
>
> Sven
>
>
>
> Sven Prevrhal
>
> Philips Research
>
>
>
>
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