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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 itkGaussianDerivativeImageFunction_h
#define itkGaussianDerivativeImageFunction_h
#include "itkContinuousIndex.h"
#include "itkFixedArray.h"
#include "itkGaussianDerivativeSpatialFunction.h"
#include "itkGaussianSpatialFunction.h"
#include "itkImage.h"
#include "itkImageFunction.h"
#include "itkNeighborhood.h"
#include "itkOffset.h"
#include "itkVector.h"
#include <vector>
namespace itk
{
/**
* \class GaussianDerivativeImageFunction
* \brief Compute the Gaussian derivatives of an the image
* at a specific location in space, i.e. point, index or continuous
* index.
* \note From ITK 5, the Evaluate member functions of this class are concurrent
* thread safe: It is safe to have multiple simultaneous Evaluate calls on a
* GaussianDerivativeImageFunction object.
*
* This class is templated over the input image type.
* \sa NeighborhoodOperator
* \sa ImageFunction
* \ingroup ITKImageFunction
*/
template <typename TInputImage, typename TOutput = double>
class ITK_TEMPLATE_EXPORT GaussianDerivativeImageFunction
: public ImageFunction<TInputImage, Vector<TOutput, TInputImage::ImageDimension>, TOutput>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(GaussianDerivativeImageFunction);
/** Standard class type aliases. */
using Self = GaussianDerivativeImageFunction;
using Superclass = ImageFunction<TInputImage, Vector<TOutput, TInputImage::ImageDimension>, TOutput>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(GaussianDerivativeImageFunction);
/** InputImageType type alias support */
using InputImageType = TInputImage;
using InputPixelType = typename InputImageType::PixelType;
using IndexType = typename InputImageType::IndexType;
/** Dimension of the underlying image. */
static constexpr unsigned int ImageDimension = InputImageType::ImageDimension;
#if !defined(ITK_LEGACY_REMOVE)
static constexpr unsigned int ImageDimension2 = ImageDimension;
#endif
using ContinuousIndexType = typename Superclass::ContinuousIndexType;
using NeighborhoodType = Neighborhood<InputPixelType, Self::ImageDimension>;
using OperatorNeighborhoodType = Neighborhood<TOutput, Self::ImageDimension>;
using VectorType = Vector<TOutput, Self::ImageDimension>;
using typename Superclass::OutputType;
using OperatorArrayType = FixedArray<OperatorNeighborhoodType, Self::ImageDimension>;
using GaussianDerivativeSpatialFunctionType = GaussianDerivativeSpatialFunction<TOutput, 1>;
using GaussianDerivativeSpatialFunctionPointer = typename GaussianDerivativeSpatialFunctionType::Pointer;
#if !defined(ITK_LEGACY_REMOVE)
using GaussianDerivativeFunctionType = GaussianDerivativeSpatialFunctionType;
using GaussianDerivativeFunctionPointer = GaussianDerivativeSpatialFunctionPointer;
#endif
/** Point type alias support */
// using PointType = Point< TOutput, Self::ImageDimension >;
using PointType = typename Superclass::PointType;
/** Evaluate the function at the specified point. */
OutputType
Evaluate(const PointType & point) const override;
/** Evaluate the function at specified Index position. */
OutputType
EvaluateAtIndex(const IndexType & index) const override;
/** Evaluate the function at specified ContinuousIndex position. */
OutputType
EvaluateAtContinuousIndex(const ContinuousIndexType & cindex) const override;
/**
* UseImageSpacing controls the extent of the computations.
* Set UseImageSpacing to true to set the units to physical units of the image.
* Set UseImageSpacing to false to set the units of pixels. */
void
SetUseImageSpacing(const bool val)
{
if (val != this->m_UseImageSpacing)
{
this->m_UseImageSpacing = val;
this->RecomputeGaussianKernel();
}
}
itkBooleanMacro(UseImageSpacing);
itkGetMacro(UseImageSpacing, bool);
/** The variance for the discrete Gaussian kernel. Sets the variance
* independently for each dimension, but see also
* SetVariance(const double v). The default is 0.0 in each dimension.
* The extent of the kernel is controlled by UseImageSpacing.
*/
void
SetSigma(const double * sigma);
void
SetSigma(const double sigma);
const double *
GetSigma() const
{
return m_Sigma;
}
/** Set the extent of the discrete Gaussian kernel. */
void
SetExtent(const double * extent);
void
SetExtent(const double extent);
const double *
GetExtent() const
{
return m_Extent;
}
/** Set the input image.
* \warning this method caches BufferedRegion information.
* If the BufferedRegion has changed, user must call
* SetInputImage again to update cached values. */
void
SetInputImage(const InputImageType * ptr) override;
protected:
GaussianDerivativeImageFunction();
~GaussianDerivativeImageFunction() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
/** Recompute the Gaussian kernel used to evaluate indexes. This should use
* a fastest Derivative Gaussian operator. */
void
RecomputeGaussianKernel();
private:
double m_Sigma[ImageDimension]{};
/** Array of 1D operators. Contains a derivative kernel for
* each dimension. Note: A future version of ITK could extend this array
* to include a Gaussian blurring kernel for each dimension.*/
OperatorArrayType m_OperatorArray{};
std::vector<Offset<ImageDimension>> m_ImageNeighborhoodOffsets[ImageDimension]{};
double m_Extent[ImageDimension]{};
/** Flag to indicate whether to use image spacing. */
bool m_UseImageSpacing{ true };
/** Neighborhood Image Function. */
const GaussianDerivativeSpatialFunctionPointer m_GaussianDerivativeSpatialFunction{
GaussianDerivativeSpatialFunctionType::New()
};
};
} // namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkGaussianDerivativeImageFunction.hxx"
#endif
#endif
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