[Insight-users] GradientAnisotropicDiffusionImageFilter

[Luis Ibanez]

Hi A.G.

The itkGradientAnisotropicDiffusionImageFilter
http://www.itk.org/Insight/Doxygen/html/classitk_1_1GradientAnisotropicDiffusionImageFilter.html

derives from the itkAnisotropicDiffusionImageFilter:
http://www.itk.org/Insight/Doxygen/html/classitk_1_1AnisotropicDiffusionImageFilter.html

whose documentation states:

   "Inputs and Outputs

    This is an image-to-image filter. The requirements for data types
    and dimensionality of the input and output are defined by subclasses.
    In general, these filters expect images of real-valued types. This
    means pixel types of floats, doubles, or a user-defined type with
    floating point accuracy and arithmetic operations."


You may want to cast your input image to a type
itk::Image<float,dimension> before passing it to
the GradientAnisotropicDiffusionImageFilter.

You can use the CastImageFilter<> for this purpose.


Note that the GradientAnisotropicDiffusionImageFilter
itself must also be instantiated over image types
whose pixel type is float or double.



   Regards,


      Luis



---------
AG wrote:
> Hello,
> 
> I'm using a slightly modified version of Examples/Filtering/ 
> GradientAnisotropicDiffusionImageFilter.cxx in my application.
> 
> Testing the code with a 3D image of unsigned short input and saving a  
> float image output I find that the output is identical to the input  
> independent of the input parameters.  FWIW I have tested this with  
> conductance in the range of [0.05,50], time steps in the range of  0.01 
> to 0.125 and 5 iterations.
> 
> Can anyone suggest why the filter does not seem to affect the image?
> 
> TIA,
> 
> A.G.
> WaveMetrics, Inc.
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