[Insight-developers] Neighborhood Filter for Covariant Vector and is_signed
Gert Wollny
gert at die.upm.es
Mon Jul 13 07:39:14 EDT 2009
After some research I now found out that in order to use a Neighborhood
Operator Image Filter on a vector valued image, one needs to use the
class VectorNeighborhoodOperatorImageFilter which, in its essence,
duplicates the code of NeighborhoodOperatorImageFilter without testing
the is_signed property of the pixel class, and without supporting
different boundary conditions.
I think that these two classes should be unified and I filed a bug
report accordingly: http://www.vtk.org/Bug/view.php?id=9263
Best,
Gert
On Thu, 2009-07-09 at 13:14 +0200, Gert Wollny wrote:
> Hi all,
>
> I'm trying to implement Normalized Gradient Fields [1] as a new
> ImageToImageMetric. In order to evaluate the derivative, I need to
> evaluate the gradient of a vector field. To do so I thought using the
> NeighborhoodOperatorImageFilter with the SobelOperator might be a good
> idea.
>
> However, when i try to compile it, I get the following compile error:
>
> error: ‘is_signed’ is not a member of
> ‘itk::NumericTraits<itk::CovariantVector<float, 2u> >’
>
> Next thing I tried was to add a specialization of vcl_numeric_limits
> and std::numeric_limits for the CovariantVector<float, 2u>
>
> namespace std {
> template <>
> class numeric_limits< ::itk::CovariantVector<float, 2> >
> {
> public:
> static const bool is_signed VCL_STATIC_CONST_INIT_INT_DECL(true);
> };
> }
>
> but the compiler didn't pick that up for some reason.
> Now I wonder, where would be the right place to persuade the compiler
> that NumericTraits<itk::CovariantVector<float, 2u> > has a variable
> is_signed and that it is set to true.
>
> Or, should I better use the GradientImageFilter on the vector field (I
> use it already to evaluate the image gradient)? It would result in a
> CovariantVector<CovariantVector<float, 2u>, 2u> and I wonder weather
> this makes sense performance wise.
>
> Many thanks
>
> Gert
>
> [1] E. Haber and J. Modersitzki
> "Beyond Mutual Information: A Simple and Robust Alternative"
> In Bildverarbeitung für die Medizin 2005
> Springer Berlin Heidelberg
>
>
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