itkSegmentationLevelSetImageFilter.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 itkSegmentationLevelSetImageFilter_h
#define itkSegmentationLevelSetImageFilter_h
 
#include "itkSparseFieldLevelSetImageFilter.h"
#include "itkSegmentationLevelSetFunction.h"
#include "itkMath.h"
 
namespace itk
{
template <typename TInputImage, typename TFeatureImage, typename TOutputPixelType = float>
class ITK_TEMPLATE_EXPORT SegmentationLevelSetImageFilter
  : public SparseFieldLevelSetImageFilter<TInputImage, Image<TOutputPixelType, TInputImage::ImageDimension>>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(SegmentationLevelSetImageFilter);
 
  using Self = SegmentationLevelSetImageFilter;
 
  // static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension;
 
  using OutputImageType = Image<TOutputPixelType, Self::InputImageDimension>;
 
  using Superclass = SparseFieldLevelSetImageFilter<TInputImage, OutputImageType>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  using ValueType = typename Superclass::ValueType;
  using IndexType = typename Superclass::IndexType;
  using TimeStepType = typename Superclass::TimeStepType;
  using InputImageType = typename Superclass::InputImageType;
 
  using FeatureImageType = TFeatureImage;
 
  using SegmentationFunctionType = SegmentationLevelSetFunction<OutputImageType, FeatureImageType>;
 
  using VectorImageType = typename SegmentationFunctionType::VectorImageType;
  using SpeedImageType = typename SegmentationFunctionType::ImageType;
 
  itkTypeMacro(SegmentationLevelSetImageFilter, SparseFieldLevelSetImageFilter);
 
  void
  SetMaximumIterations(unsigned int i)
  {
    itkWarningMacro("SetMaximumIterations is deprecated.  Please use SetNumberOfIterations instead.");
    this->SetNumberOfIterations(i);
  }
 
  unsigned int
  GetMaximumIterations()
  {
    itkWarningMacro("GetMaximumIterations is deprecated. Please use GetNumberOfIterations instead.");
    return this->GetNumberOfIterations();
  }
 
  virtual void
  SetFeatureImage(const FeatureImageType * f)
  {
    itkDebugMacro("setting input FeatureImage to " << f);
    if (f != itkDynamicCastInDebugMode<FeatureImageType *>(this->ProcessObject::GetInput("FeatureImage")))
    {
      this->ProcessObject::SetInput("FeatureImage", const_cast<FeatureImageType *>(f));
      m_SegmentationFunction->SetFeatureImage(f);
      this->Modified();
    }
  }
  itkGetInputMacro(FeatureImage, FeatureImageType);
 
  itkSetInputMacro(InitialImage, InputImageType);
  itkGetInputMacro(InitialImage, InputImageType);
 
  void
  SetInput2(const FeatureImageType * input)
  {
    this->SetFeatureImage(input);
  }
 
  void
  SetSpeedImage(SpeedImageType * s)
  {
    m_SegmentationFunction->SetSpeedImage(s);
  }
 
  void
  SetAdvectionImage(VectorImageType * v)
  {
    m_SegmentationFunction->SetAdvectionImage(v);
  }
 
  virtual const SpeedImageType *
  GetSpeedImage() const
  {
    return m_SegmentationFunction->GetSpeedImage();
  }
 
  virtual const VectorImageType *
  GetAdvectionImage() const
  {
    return m_SegmentationFunction->GetAdvectionImage();
  }
 
  void
  SetUseNegativeFeaturesOn()
  {
    itkWarningMacro(
      << "SetUseNegativeFeaturesOn has been deprecated.  Please use ReverseExpansionDirectionOn() instead");
    this->ReverseExpansionDirectionOn();
  }
 
  void
  SetUseNegativeFeaturesOff()
  {
    itkWarningMacro(
      << "SetUseNegativeFeaturesOff has been deprecated.  Please use ReverseExpansionDirectionOff() instead");
    this->ReverseExpansionDirectionOff();
  }
 
  void
  SetUseNegativeFeatures(bool u)
  {
    itkWarningMacro(<< "SetUseNegativeFeatures has been deprecated.  Please use SetReverseExpansionDirection instead");
    if (u == true)
    {
      this->SetReverseExpansionDirection(false);
    }
    else
    {
      this->SetReverseExpansionDirection(true);
    }
  }
 
  bool
  GetUseNegativeFeatures() const
  {
    itkWarningMacro(
      << "GetUseNegativeFeatures has been deprecated.  Please use GetReverseExpansionDirection() instead");
    if (m_ReverseExpansionDirection == false)
    {
      return true;
    }
    else
    {
      return false;
    }
  }
 
  itkSetMacro(ReverseExpansionDirection, bool);
  itkGetConstMacro(ReverseExpansionDirection, bool);
  itkBooleanMacro(ReverseExpansionDirection);
 
  itkSetMacro(AutoGenerateSpeedAdvection, bool);
  itkGetConstMacro(AutoGenerateSpeedAdvection, bool);
  itkBooleanMacro(AutoGenerateSpeedAdvection);
 
  void
  SetFeatureScaling(ValueType v)
  {
    if (Math::NotExactlyEquals(v, m_SegmentationFunction->GetPropagationWeight()))
    {
      this->SetPropagationScaling(v);
    }
    if (Math::NotExactlyEquals(v, m_SegmentationFunction->GetAdvectionWeight()))
    {
      this->SetAdvectionScaling(v);
    }
  }
 
  void
  SetPropagationScaling(ValueType v)
  {
    if (Math::NotExactlyEquals(v, m_SegmentationFunction->GetPropagationWeight()))
    {
      m_SegmentationFunction->SetPropagationWeight(v);
      this->Modified();
    }
  }
 
  ValueType
  GetPropagationScaling() const
  {
    return m_SegmentationFunction->GetPropagationWeight();
  }
 
  void
  SetAdvectionScaling(ValueType v)
  {
    if (Math::NotExactlyEquals(v, m_SegmentationFunction->GetAdvectionWeight()))
    {
      m_SegmentationFunction->SetAdvectionWeight(v);
      this->Modified();
    }
  }
 
  ValueType
  GetAdvectionScaling() const
  {
    return m_SegmentationFunction->GetAdvectionWeight();
  }
 
  void
  SetCurvatureScaling(ValueType v)
  {
    if (Math::NotExactlyEquals(v, m_SegmentationFunction->GetCurvatureWeight()))
    {
      m_SegmentationFunction->SetCurvatureWeight(v);
      this->Modified();
    }
  }
 
  ValueType
  GetCurvatureScaling() const
  {
    return m_SegmentationFunction->GetCurvatureWeight();
  }
 
  void
  SetUseMinimalCurvature(bool b)
  {
    if (m_SegmentationFunction->GetUseMinimalCurvature() != b)
    {
      m_SegmentationFunction->SetUseMinimalCurvature(b);
      this->Modified();
    }
  }
 
  bool
  GetUseMinimalCurvature() const
  {
    return m_SegmentationFunction->GetUseMinimalCurvature();
  }
 
  void
  UseMinimalCurvatureOn()
  {
    this->SetUseMinimalCurvature(true);
  }
 
  void
  UseMinimalCurvatureOff()
  {
    this->SetUseMinimalCurvature(false);
  }
 
  virtual void
  SetSegmentationFunction(SegmentationFunctionType * s)
  {
    m_SegmentationFunction = s;
 
    typename SegmentationFunctionType::RadiusType r;
    r.Fill(1);
 
    m_SegmentationFunction->Initialize(r);
    this->SetDifferenceFunction(m_SegmentationFunction);
    this->Modified();
  }
 
  virtual SegmentationFunctionType *
  GetSegmentationFunction()
  {
    return m_SegmentationFunction;
  }
 
  void
  SetMaximumCurvatureTimeStep(double n)
  {
    if (n != m_SegmentationFunction->GetMaximumCurvatureTimeStep())
    {
      m_SegmentationFunction->SetMaximumCurvatureTimeStep(n);
      this->Modified();
    }
  }
 
  double
  GetMaximumCurvatureTimeStep() const
  {
    return m_SegmentationFunction->GetMaximumCurvatureTimeStep();
  }
 
  void
  SetMaximumPropagationTimeStep(double n)
  {
    if (n != m_SegmentationFunction->GetMaximumPropagationTimeStep())
    {
      m_SegmentationFunction->SetMaximumPropagationTimeStep(n);
      this->Modified();
    }
  }
 
  double
  GetMaximumPropagationTimeStep() const
  {
    return m_SegmentationFunction->GetMaximumPropagationTimeStep();
  }
 
  void
  GenerateSpeedImage();
 
  void
  GenerateAdvectionImage();
 
#ifdef ITK_USE_CONCEPT_CHECKING
  // Begin concept checking
  itkConceptMacro(OutputHasNumericTraitsCheck, (Concept::HasNumericTraits<TOutputPixelType>));
  // End concept checking
#endif
 
protected:
  ~SegmentationLevelSetImageFilter() override = default;
  SegmentationLevelSetImageFilter();
 
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
  void
  InitializeIteration() override
  {
    Superclass::InitializeIteration();
    // Estimate the progress of the filter
    this->UpdateProgress((float)((float)this->GetElapsedIterations() / (float)this->GetNumberOfIterations()));
  }
 
  void
  GenerateData() override;
 
  bool m_ReverseExpansionDirection;
 
  bool m_AutoGenerateSpeedAdvection;
 
private:
  SegmentationFunctionType * m_SegmentationFunction;
};
} // end namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkSegmentationLevelSetImageFilter.hxx"
#endif
 
#endif