/usr/include/ITK-4.9/itkLabelImageGaussianInterpolateImageFunction.h is in libinsighttoolkit4-dev 4.9.0-4ubuntu1.
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Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkLabelImageGaussianInterpolateImageFunction.h,v $
Language: C++
Date: $Date: $
Version: $Revision: $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef itkLabelImageGaussianInterpolateImageFunction_h
#define itkLabelImageGaussianInterpolateImageFunction_h
#include "itkGaussianInterpolateImageFunction.h"
namespace itk
{
/** \class LabelImageGaussianInterpolateImageFunction
* \brief Interpolation function for multi-label images that implicitly smooths each
* unique value in the image corresponding to each label set element and returns the
* corresponding label set element with the largest wieght.
*
* This filter is an alternative to nearest neighbor interpolation for multi-label
* images. Given a multi-label image \c I with label set \c L, this function returns a
* label at the non-voxel position \c I(x), based on the following rule
*
* \f[
* I(x) = \arg\max_{l \in L} (G_\sigma * I_l)(x)
* \f]
*
* Where \f$ I_l \f$ is the \c l-th binary component of the multilabel image. In other words,
* each label in the multi-label image is convolved with a Gaussian, and the label
* for which the response is largest is returned. For sigma=0, this is just nearest
* neighbor interpolation.
*
* This class defines an N-dimensional Gaussian interpolation function for label
* using the vnl error function. The two parameters associated with this function
* are:
* \li \c Sigma - a scalar array of size ImageDimension determining the width
* of the interpolation function.
* \li \c Alpha - a scalar specifying the cutoff distance over which the function
* is calculated.
*
* \note The input image can be of any type, but the number of unique intensity values
* in the image will determine the amount of memory needed to complete each interpolation.
*
*
* \author Paul Yushkevich
* \author Nick Tustison
*
* \ingroup ITKImageFunction
*/
template <typename TInputImage, typename TCoordRep = double,
typename TPixelCompare = std::less<typename itk::NumericTraits<typename TInputImage::PixelType>::RealType> >
class LabelImageGaussianInterpolateImageFunction :
public GaussianInterpolateImageFunction<TInputImage, TCoordRep>
{
public:
/** Standard class typedefs. */
typedef LabelImageGaussianInterpolateImageFunction Self;
typedef GaussianInterpolateImageFunction<TInputImage, TCoordRep> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
typedef typename TInputImage::PixelType InputPixelType;
/** Run-time type information (and related methods). */
itkTypeMacro( LabelImageGaussianInterpolateImageFunction, GaussianInterpolateImageFunction );
/** Method for creation through the object factory. */
itkNewMacro( Self );
/** ImageDimension constant */
itkStaticConstMacro( ImageDimension, unsigned int, TInputImage::ImageDimension );
/** OutputType typedef support. */
typedef typename Superclass::OutputType OutputType;
/** InputImageType typedef support. */
typedef typename Superclass::InputImageType InputImageType;
/** RealType typedef support. */
typedef typename Superclass::RealType RealType;
/** Index typedef support. */
typedef typename Superclass::IndexType IndexType;
/** ContinuousIndex typedef support. */
typedef typename Superclass::ContinuousIndexType ContinuousIndexType;
/** Array typedef support */
typedef typename Superclass::ArrayType ArrayType;
/**
* Evaluate at the given index
*/
virtual OutputType EvaluateAtContinuousIndex(
const ContinuousIndexType & cindex ) const ITK_OVERRIDE
{
return this->EvaluateAtContinuousIndex( cindex, ITK_NULLPTR );
}
protected:
LabelImageGaussianInterpolateImageFunction();
~LabelImageGaussianInterpolateImageFunction(){};
private:
LabelImageGaussianInterpolateImageFunction( const Self& ) ITK_DELETE_FUNCTION;
void operator=( const Self& ) ITK_DELETE_FUNCTION;
/**
* Evaluate function value at the given index
*/
virtual OutputType EvaluateAtContinuousIndex(
const ContinuousIndexType &, OutputType * ) const ITK_OVERRIDE;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkLabelImageGaussianInterpolateImageFunction.hxx"
#endif
#endif
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