sitkSmoothingRecursiveGaussianImageFilter.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 sitkSmoothingRecursiveGaussianImageFilter_h
#define sitkSmoothingRecursiveGaussianImageFilter_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 SmoothingRecursiveGaussianImageFilter : public ImageFilter {
public:
  using Self = SmoothingRecursiveGaussianImageFilter;

  virtual ~SmoothingRecursiveGaussianImageFilter();

  SmoothingRecursiveGaussianImageFilter();

  using PixelIDTypeList = typelist2::append<BasicPixelIDTypeList, VectorPixelIDTypeList>::type;
 
 
 

  void
  SetSigma(std::vector<double> Sigma )
    { this->m_Sigma = std::move(Sigma); }

  void
  SetSigma( double value ) { this->m_Sigma = std::vector<double>(3, value); }
  std::vector<double>
  GetSigma() const { return this->m_Sigma; }
 

  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("SmoothingRecursiveGaussianImageFilter"); }

  std::string ToString() const;
 

#ifndef SWIG
    Image Execute(Image&& image1);
#endif
  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_Sigma{ std::vector<double>(3,1.0) };
 
    bool m_NormalizeAcrossScale{ false };
 
 
 
 
 
 
 
      bool m_InPlace{false};
 
};
 

#ifndef SWIG
SITKBasicFilters_EXPORT Image SmoothingRecursiveGaussian(
    Image&& image1, std::vector<double> sigma = std::vector<double>(3,1.0), bool normalizeAcrossScale = false
);
 
 
#endif
SITKBasicFilters_EXPORT Image SmoothingRecursiveGaussian(
    const Image &image1, std::vector<double> sigma = std::vector<double>(3,1.0), bool normalizeAcrossScale = false
);

 
}
#endif