sitkDiscreteGaussianDerivativeImageFilter.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
*
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*  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
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*=========================================================================*/
#ifndef sitkDiscreteGaussianDerivativeImageFilter_h
#define sitkDiscreteGaussianDerivativeImageFilter_h
 
/*
 * WARNING: DO NOT EDIT THIS FILE!
 * THIS FILE IS AUTOMATICALLY GENERATED BY THE SIMPLEITK BUILD PROCESS.
 * Please look at sitkImageFilterTemplate.h.jinja to make changes.
 */
 
#include <memory>
 
#include "sitkBasicFilters.h"
#include "sitkImageFilter.h"
#include "sitkProcessObjectDeleter.h"
 
namespace itk::simple {

class SITKBasicFilters_EXPORT DiscreteGaussianDerivativeImageFilter : public ImageFilter {
public:
  using Self = DiscreteGaussianDerivativeImageFilter;

  virtual ~DiscreteGaussianDerivativeImageFilter();

  DiscreteGaussianDerivativeImageFilter();

  using PixelIDTypeList = BasicPixelIDTypeList;
 
 
 

  void
  SetVariance(std::vector<double> Variance )
    { this->m_Variance = std::move(Variance); }

  void
  SetVariance( double value ) { this->m_Variance = std::vector<double>(3, value); }
  std::vector<double>
  GetVariance() const { return this->m_Variance; }
 

  void
  SetOrder(std::vector<unsigned int> Order )
    { this->m_Order = std::move(Order); }

  void
  SetOrder( unsigned int value ) { this->m_Order = std::vector<unsigned int>(3, value); }
  std::vector<unsigned int>
  GetOrder() const { return this->m_Order; }
 

  void
  SetMaximumKernelWidth(unsigned int MaximumKernelWidth )
    { this->m_MaximumKernelWidth = MaximumKernelWidth; }

  unsigned int
  GetMaximumKernelWidth() const { return this->m_MaximumKernelWidth; }
 

  void
  SetMaximumError(double MaximumError )
    { this->m_MaximumError = MaximumError; }

  double
  GetMaximumError() const { return this->m_MaximumError; }
 

  void
  SetUseImageSpacing(bool UseImageSpacing )
    { this->m_UseImageSpacing = UseImageSpacing; }

  void
  UseImageSpacingOn() { return this->SetUseImageSpacing(true); }
  void
  UseImageSpacingOff() { return this->SetUseImageSpacing(false); }
  bool
  GetUseImageSpacing() const { return this->m_UseImageSpacing; }
 

  void
  SetNormalizeAcrossScale(bool NormalizeAcrossScale )
    { this->m_NormalizeAcrossScale = NormalizeAcrossScale; }

  void
  NormalizeAcrossScaleOn() { return this->SetNormalizeAcrossScale(true); }
  void
  NormalizeAcrossScaleOff() { return this->SetNormalizeAcrossScale(false); }
  bool
  GetNormalizeAcrossScale() const { return this->m_NormalizeAcrossScale; }
 

  std::string GetName() const { return std::string("DiscreteGaussianDerivativeImageFilter"); }

  std::string ToString() const;
 

  Image Execute(const Image &image1);
 
 
private:
  using MemberFunctionType = Image (Self::*)(const Image &image1);
  template <class TImageType> Image ExecuteInternal(const Image &image1);
    friend struct detail::MemberFunctionAddressor<MemberFunctionType>;
    static const detail::MemberFunctionFactory<MemberFunctionType> &GetMemberFunctionFactory();
 
 
    std::vector<double> m_Variance{ std::vector<double>(3, 0.0) };
 
    std::vector<unsigned int> m_Order{ std::vector<unsigned int>(3, 1) };
 
    unsigned int m_MaximumKernelWidth{ 32u };
 
    double m_MaximumError{ 0.01 };
 
    bool m_UseImageSpacing{ true };
 
    bool m_NormalizeAcrossScale{ false };
 
 
 
 
 
 
 
};
 

SITKBasicFilters_EXPORT Image DiscreteGaussianDerivative(
    const Image &image1, std::vector<double> variance = std::vector<double>(3, 0.0), std::vector<unsigned int> order = std::vector<unsigned int>(3, 1), unsigned int maximumKernelWidth = 32u, double maximumError = 0.01, bool useImageSpacing = true, bool normalizeAcrossScale = false
);

 
}
#endif