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
*
*  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.
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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.in to make changes.
 */
 
#include <memory>
 
#include "sitkBasicFilters.h"
#include "sitkImageFilter.h"
 
namespace itk {
  namespace simple {
 
    class SITKBasicFilters_EXPORT DiscreteGaussianDerivativeImageFilter : public ImageFilter {
    public:
      using Self = DiscreteGaussianDerivativeImageFilter;
 
      virtual ~DiscreteGaussianDerivativeImageFilter();
 
      DiscreteGaussianDerivativeImageFilter();
 
      using PixelIDTypeList = BasicPixelIDTypeList;
\
 
      SITK_RETURN_SELF_TYPE_HEADER SetVariance ( std::vector<double> Variance ) { this->m_Variance = std::move(Variance); return *this; }
 
      SITK_RETURN_SELF_TYPE_HEADER SetVariance( double value ) { this->m_Variance = std::vector<double>(3, value); return *this; }
 
      std::vector<double> GetVariance() const { return this->m_Variance; }\
 
      SITK_RETURN_SELF_TYPE_HEADER SetOrder ( std::vector<unsigned int> Order ) { this->m_Order = std::move(Order); return *this; }
 
      SITK_RETURN_SELF_TYPE_HEADER SetOrder( unsigned int value ) { this->m_Order = std::vector<unsigned int>(3, value); return *this; }
 
      std::vector<unsigned int> GetOrder() const { return this->m_Order; }\
 
      SITK_RETURN_SELF_TYPE_HEADER SetMaximumKernelWidth ( unsigned int MaximumKernelWidth ) { this->m_MaximumKernelWidth = MaximumKernelWidth; return *this; }
 
      unsigned int GetMaximumKernelWidth() const { return this->m_MaximumKernelWidth; }\
 
      SITK_RETURN_SELF_TYPE_HEADER SetMaximumError ( double MaximumError ) { this->m_MaximumError = MaximumError; return *this; }
 
      double GetMaximumError() const { return this->m_MaximumError; }\
 
      SITK_RETURN_SELF_TYPE_HEADER SetUseImageSpacing ( bool UseImageSpacing ) { this->m_UseImageSpacing = UseImageSpacing; return *this; }
 
      SITK_RETURN_SELF_TYPE_HEADER UseImageSpacingOn() { return this->SetUseImageSpacing(true); }
      SITK_RETURN_SELF_TYPE_HEADER UseImageSpacingOff() { return this->SetUseImageSpacing(false); }
 
      bool GetUseImageSpacing() const { return this->m_UseImageSpacing; }\
 
      SITK_RETURN_SELF_TYPE_HEADER SetNormalizeAcrossScale ( bool NormalizeAcrossScale ) { this->m_NormalizeAcrossScale = NormalizeAcrossScale; return *this; }
 
      SITK_RETURN_SELF_TYPE_HEADER NormalizeAcrossScaleOn() { return this->SetNormalizeAcrossScale(true); }
      SITK_RETURN_SELF_TYPE_HEADER 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>;
 
      std::unique_ptr<detail::MemberFunctionFactory<MemberFunctionType> > m_MemberFactory;
 
 
      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