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/*=========================================================================
*
* Copyright NumFOCUS
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#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 weight.
*
* 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
*
* \sphinx
* \sphinxexample{Core/ImageFunction/ResampleSegmentedImage,Resample Segmented Image}
* \endsphinx
*/
template <typename TInputImage,
typename TCoordRep = double,
typename TPixelCompare = std::less<typename itk::NumericTraits<typename TInputImage::PixelType>::RealType>>
class ITK_TEMPLATE_EXPORT LabelImageGaussianInterpolateImageFunction
: public GaussianInterpolateImageFunction<TInputImage, TCoordRep>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(LabelImageGaussianInterpolateImageFunction);
/** Standard class type aliases. */
using Self = LabelImageGaussianInterpolateImageFunction;
using Superclass = GaussianInterpolateImageFunction<TInputImage, TCoordRep>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
using InputPixelType = typename TInputImage::PixelType;
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(LabelImageGaussianInterpolateImageFunction);
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** ImageDimension constant */
static constexpr unsigned int ImageDimension = TInputImage::ImageDimension;
/** OutputType type alias support */
using typename Superclass::OutputType;
/** InputImageType type alias support */
using typename Superclass::InputImageType;
/** RealType type alias support */
using typename Superclass::RealType;
/** Index type alias support */
using typename Superclass::IndexType;
/** ContinuousIndex type alias support */
using typename Superclass::ContinuousIndexType;
/** Array type alias support */
using typename Superclass::ArrayType;
/**
* Evaluate at the given index
*/
OutputType
EvaluateAtContinuousIndex(const ContinuousIndexType & cindex) const override
{
return this->EvaluateAtContinuousIndex(cindex, nullptr);
}
protected:
LabelImageGaussianInterpolateImageFunction() = default;
~LabelImageGaussianInterpolateImageFunction() override = default;
private:
/**
* Evaluate function value at the given index
*/
OutputType
EvaluateAtContinuousIndex(const ContinuousIndexType &, OutputType *) const override;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkLabelImageGaussianInterpolateImageFunction.hxx"
#endif
#endif
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