itkGradientRecursiveGaussianImageFilter

MLModule
author Insight Software Consortium
package MeVisLab/ITK
dll MLFiltersG
definition MLFiltersG.def

Purpose

This module wraps the class itk::GradientRecursiveGaussianImageFilter to make it usable in MeVisLab.

Details

  • Integration type = Wrapped ITK class
  • Module category = Filters
  • Included (toolkit) file(s): itkGradientRecursiveGaussianImageFilter.h
  • Compiled for 2D, 3D and 6D images
  • Compiled (only) for double voxels
  • The module has a non scalar voxel type at the output(s) (e.g. complex, vector, matrix, tensor)
  • Vector voxels at the image output(s) have the same dimension like the input image
  • Uses covariant vectors at input or output images
  • Sets page extent to image extent to force processing of entire image at once
  • Wraps a class of type itkImageToImageFilter
  • Parameter(s) are limited with the following expressions:
    • Sigma: if (fabs(m_Sigma->getFloatValue()) < 0.01){ Sigma=0.01; m_Sigma->setFloatValue(Sigma); }
  • Specific templates argument(s) differing from typical one(s)=InImageType

Tips

See Integration of ITK Algorithms in MeVisLab for further information about the ITK-MeVisLab binding.

Parameter Fields

Select label links in the module panel to go to the documentation of the class and base classes parameters.

Go to http://www.itk.org/Doxygen/html/classitk_1_1GradientRecursiveGaussianImageFilter.html for the documentation of the class itk::GradientRecursiveGaussianImageFilter and its parameters.

See Common User Interface Parameters of itk Modules for information about parameters which do not belong to the itk::GradientRecursiveGaussianImageFilter.