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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 itkGaussianDerivativeSpatialFunction_h
#define itkGaussianDerivativeSpatialFunction_h
#include "itkSpatialFunction.h"
#include "itkFixedArray.h"
namespace itk
{
/** \class GaussianDerivativeSpatialFunction
* \brief N-dimensional Gaussian spatial function class
*
* GaussianDerivativeSpatialFunction implements a standard derivative of Gaussian
* curve in N-d.
* m_Normalized determines whether or not the Derivative of the Gaussian
* is normalized (whether or not the sum over infinite space is 1.0).
*
* m_Scale scales the output of the Gaussian to span a range
* larger than 0->1, and is often set to the maximum value
* of the output data type (for instance, 255 for uchars).
*
* \ingroup SpatialFunctions
* \ingroup ITKCommon
*/
template <typename TOutput = double, unsigned int VImageDimension = 3, typename TInput = Point<double, VImageDimension>>
class ITK_TEMPLATE_EXPORT GaussianDerivativeSpatialFunction : public SpatialFunction<TOutput, VImageDimension, TInput>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(GaussianDerivativeSpatialFunction);
/** Standard class type aliases. */
using Self = GaussianDerivativeSpatialFunction;
using Superclass = SpatialFunction<TOutput, VImageDimension, TInput>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(GaussianDerivativeSpatialFunction);
/** Input type for the function. */
using typename Superclass::InputType;
/** Output type for the function. */
using typename Superclass::OutputType;
/** Type used to store derivatives parameters. */
using ArrayType = FixedArray<double, VImageDimension>;
/** Type used to return the derivatives in each direction */
using VectorType = Vector<double, VImageDimension>;
/** Evaluate the function at a given position and return the
* value in the specific direction. SetDirection() should be used
* to set the direction. */
OutputType
Evaluate(const TInput & position) const override;
/** Evaluate the function at a given position and return a vector */
VectorType
EvaluateVector(const TInput & position) const;
/** Gets and sets for gaussian parameters */
itkSetMacro(Scale, double);
itkGetConstMacro(Scale, double);
itkSetMacro(Normalized, bool);
itkGetConstMacro(Normalized, bool);
itkSetMacro(Sigma, ArrayType);
itkGetConstMacro(Sigma, ArrayType);
itkSetMacro(Mean, ArrayType);
itkGetConstMacro(Mean, ArrayType);
itkSetMacro(Direction, unsigned int);
itkGetConstMacro(Direction, unsigned int);
protected:
GaussianDerivativeSpatialFunction() = default;
~GaussianDerivativeSpatialFunction() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
private:
/** Current direction */
mutable unsigned int m_Direction{};
/** The standard deviation in each direction. */
ArrayType m_Sigma{ ArrayType::Filled(1.0) };
/** The mean in each direction. */
ArrayType m_Mean{};
/** A scale factor multiplied by the true value of the Gaussian. */
double m_Scale{ 1.0 };
/** Whether or not to normalize the Gaussian. */
bool m_Normalized{};
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkGaussianDerivativeSpatialFunction.hxx"
#endif
#endif
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