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

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

  virtual ~GaussianImageSource();

  GaussianImageSource();

  using PixelIDTypeList = BasicPixelIDTypeList;
 
 
 
 
 

  void
  SetOutputPixelType(PixelIDValueEnum OutputPixelType )
    { this->m_OutputPixelType = OutputPixelType; }

  PixelIDValueEnum
  GetOutputPixelType() const { return this->m_OutputPixelType; }
 

  void
  SetSize(std::vector<unsigned int> Size )
    { this->m_Size = std::move(Size); }

  std::vector<unsigned int>
  GetSize() const { return this->m_Size; }
 

  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
  SetMean(std::vector<double> Mean )
    { this->m_Mean = std::move(Mean); }

  void
  SetMean( double value ) { this->m_Mean = std::vector<double>(3, value); }
  std::vector<double>
  GetMean() const { return this->m_Mean; }
 

  void
  SetScale(double Scale )
    { this->m_Scale = Scale; }

  double
  GetScale() const { return this->m_Scale; }
 

  void
  SetOrigin(std::vector<double> Origin )
    { this->m_Origin = std::move(Origin); }

  std::vector<double>
  GetOrigin() const { return this->m_Origin; }
 

  void
  SetSpacing(std::vector<double> Spacing )
    { this->m_Spacing = std::move(Spacing); }

  std::vector<double>
  GetSpacing() const { return this->m_Spacing; }
 

  void
  SetDirection(std::vector<double> Direction )
    { this->m_Direction = Direction; }

  std::vector<double>
  GetDirection() const { return this->m_Direction; }
 

  void
  SetNormalized(bool Normalized )
    { this->m_Normalized = Normalized; }

  void
  NormalizedOn() { return this->SetNormalized(true); }
  void
  NormalizedOff() { return this->SetNormalized(false); }
  bool
  GetNormalized() const { return this->m_Normalized; }
 

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

  std::string ToString() const;
 

  Image Execute();
 
 
 
private:
  using MemberFunctionType = Image (Self::*)();
  template <class TImageType> Image ExecuteInternal();
 
    friend struct detail::MemberFunctionAddressor<MemberFunctionType>;
    static const detail::MemberFunctionFactory<MemberFunctionType> &GetMemberFunctionFactory();
 
 
 
    PixelIDValueEnum m_OutputPixelType{ itk::simple::sitkFloat32 };
 
    std::vector<unsigned int> m_Size{ std::vector<unsigned int>(3, 64) };
 
    std::vector<double> m_Sigma{ std::vector<double>(3, 16.0) };
 
    std::vector<double> m_Mean{ std::vector<double>(3, 32.0) };
 
    double m_Scale{ 255 };
 
    std::vector<double> m_Origin{ std::vector<double>(3, 0.0) };
 
    std::vector<double> m_Spacing{ std::vector<double>(3, 1.0) };
 
  /* Passing a zero sized array, defaults to identiy matrix. The size of the array must exactly match the direction matrix for the dimension of the image. */
    std::vector<double> m_Direction{ std::vector<double>() };
 
    bool m_Normalized{ false };
 
 
 
 
 
 
 
 
};
 
 

SITKBasicFilters_EXPORT Image GaussianSource (
  
  
  PixelIDValueEnum outputPixelType = itk::simple::sitkFloat32, std::vector<unsigned int> size = std::vector<unsigned int>(3, 64), std::vector<double> sigma = std::vector<double>(3, 16.0), std::vector<double> mean = std::vector<double>(3, 32.0), double scale = 255, std::vector<double> origin = std::vector<double>(3, 0.0), std::vector<double> spacing = std::vector<double>(3, 1.0), std::vector<double> direction = std::vector<double>(), bool normalized = false
);
}
#endif