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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 itkVarianceImageFunction_h
#define itkVarianceImageFunction_h
#include "itkImageFunction.h"
#include "itkNumericTraits.h"
namespace itk
{
/**
* \class VarianceImageFunction
* \brief Calculate the variance in the neighborhood of a pixel
*
* Calculate the variance pixel value over the standard 8, 26, etc. connected
* neighborhood. This calculation uses a ZeroFluxNeumannBoundaryCondition.
*
* If called with a ContinuousIndex or Point, the calculation is performed
* at the nearest neighbor.
*
* This class is templated over the input image type and the
* coordinate representation type (e.g. float or double ).
*
* \ingroup ImageFunctions
* \ingroup ITKImageFunction
*/
template <typename TInputImage, typename TCoordRep = float>
class ITK_TEMPLATE_EXPORT VarianceImageFunction
: public ImageFunction<TInputImage, typename NumericTraits<typename TInputImage::PixelType>::RealType, TCoordRep>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(VarianceImageFunction);
/** Standard class type aliases. */
using Self = VarianceImageFunction;
using Superclass =
ImageFunction<TInputImage, typename NumericTraits<typename TInputImage::PixelType>::RealType, TCoordRep>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(VarianceImageFunction);
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** InputImageType type alias support */
using InputImageType = TInputImage;
/** OutputType typedef support. */
using typename Superclass::OutputType;
/** Index type alias support */
using typename Superclass::IndexType;
/** ContinuousIndex type alias support */
using typename Superclass::ContinuousIndexType;
/** Point type alias support */
using typename Superclass::PointType;
/** Dimension of the underlying image. */
static constexpr unsigned int ImageDimension = InputImageType::ImageDimension;
/** Datatype used for the variance */
using RealType = typename NumericTraits<typename InputImageType::PixelType>::RealType;
/** Evaluate the function at specified index */
RealType
EvaluateAtIndex(const IndexType & index) const override;
/** Evaluate the function at non-integer positions */
RealType
Evaluate(const PointType & point) const override
{
IndexType index;
this->ConvertPointToNearestIndex(point, index);
return this->EvaluateAtIndex(index);
}
RealType
EvaluateAtContinuousIndex(const ContinuousIndexType & cindex) const override
{
IndexType index;
this->ConvertContinuousIndexToNearestIndex(cindex, index);
return this->EvaluateAtIndex(index);
}
/** Get/Set the radius of the neighborhood over which the
statistics are evaluated */
itkSetMacro(NeighborhoodRadius, unsigned int);
itkGetConstReferenceMacro(NeighborhoodRadius, unsigned int);
protected:
VarianceImageFunction();
~VarianceImageFunction() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
private:
unsigned int m_NeighborhoodRadius{};
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkVarianceImageFunction.hxx"
#endif
#endif
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