itkGaussianDerivativeOperator.h

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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
 *
 *         http://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 itkGaussianDerivativeOperator_h
#define itkGaussianDerivativeOperator_h
 
#include "itkGaussianOperator.h"
#include "itkDerivativeOperator.h"
 
#include <algorithm>
 
namespace itk
{
 
class GaussianDerivativeOperatorEnums
{
public:
 
  enum class InterpolationMode : uint8_t
  {
    NearestNeighbourInterpolation,
    LinearInterpolation
  };
};
// Define how to print enumeration
extern ITKCommon_EXPORT std::ostream &
                        operator<<(std::ostream & out, GaussianDerivativeOperatorEnums::InterpolationMode value);
 
template <typename TPixel, unsigned int VDimension = 2, typename TAllocator = NeighborhoodAllocator<TPixel>>
class ITK_TEMPLATE_EXPORT GaussianDerivativeOperator : public NeighborhoodOperator<TPixel, VDimension, TAllocator>
{
public:
 
  using Self = GaussianDerivativeOperator;
  using Superclass = NeighborhoodOperator<TPixel, VDimension, TAllocator>;
 
  using InterpolationModeEnum = GaussianDerivativeOperatorEnums::InterpolationMode;
 
  using GaussianOperatorType = GaussianOperator<TPixel, VDimension, TAllocator>;
  using DerivativeOperatorType = DerivativeOperator<TPixel, VDimension, TAllocator>;
 
  void
  SetNormalizeAcrossScale(bool flag)
  {
    m_NormalizeAcrossScale = flag;
  }
  bool
  GetNormalizeAcrossScale() const
  {
    return m_NormalizeAcrossScale;
  }
  itkBooleanMacro(NormalizeAcrossScale);
 
  void
  SetVariance(const double variance)
  {
    m_Variance = variance;
  }
  double
  GetVariance() const
  {
    return m_Variance;
  }
 
  void
  SetSpacing(const double spacing)
  {
    m_Spacing = spacing;
  }
  double
  GetSpacing() const
  {
    return m_Spacing;
  }
 
  void
  SetMaximumError(const double maxerror)
  {
    constexpr double Min = 0.00001;
    const double     Max = 1.0 - Min;
 
    m_MaximumError = std::max(Min, std::min(Max, maxerror));
  }
  double
  GetMaximumError()
  {
    return m_MaximumError;
  }
 
  void
  SetMaximumKernelWidth(unsigned int n)
  {
    m_MaximumKernelWidth = n;
  }
 
  void
  SetOrder(const unsigned int order)
  {
    m_Order = order;
  }
  unsigned int
  GetOrder() const
  {
    return m_Order;
  }
 
  void
  PrintSelf(std::ostream & os, Indent i) const override;
 
protected:
  using CoefficientVector = typename Superclass::CoefficientVector;
 
  static double
  ModifiedBesselI0(double);
 
  static double
  ModifiedBesselI1(double);
 
  static double
  ModifiedBesselI(int, double);
 
  CoefficientVector
  GenerateCoefficients() override;
 
  void
  Fill(const CoefficientVector & coeff) override
  {
    this->FillCenteredDirectional(coeff);
  }
 
private:
  /* methods for generations of the coefficients for a gaussian
   * operator of 0-order respecting the remaining parameters */
  CoefficientVector
  GenerateGaussianCoefficients() const;
 
  const char *
  GetNameOfClass() const override
  {
    return "itkGaussianDerivativeOperator";
  }
 
  bool m_NormalizeAcrossScale{ true };
 
  double m_Variance{ 1.0 };
 
  double m_MaximumError{ 0.005 };
 
  unsigned int m_MaximumKernelWidth{ 30 };
 
  unsigned int m_Order{ 1 };
 
  double m_Spacing{ 1.0 };
};
 
} // namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkGaussianDerivativeOperator.hxx"
#endif
 
#endif