/*========================================================================= * * 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 * * https://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 itkNormalVectorFunctionBase_h #define itkNormalVectorFunctionBase_h #include "itkFiniteDifferenceSparseImageFunction.h" namespace itk { /** * \class NormalVectorFunctionBase * * \brief This class defines the common functionality for Sparse Image * neighborhoods of unit vectors. * * \par * This class is derived from the FiniteDifferenceSparseImageFunction class and * adds the functionality needed to process unit normal vector * neighborhoods. * * \par * This class is the parent class of the NormalVectorDiffusionFunction * class which defines all the necessary functionality for performing diffusion * operations on unit vectors stored in sparse images. Other (non-diffusion) * filters (such as median filtering) on unit vectors can also be derived from * this base class. * * \par PARAMETERS * This function class has a time step parameter which is returned by the * ComputeGlobalTimeStep method. Unlike other finite difference function * classes, this class does not use the maximum change magnitude to compute the * time step, it returns this predetermined time step. * \ingroup ITKLevelSets */ template class ITK_TEMPLATE_EXPORT NormalVectorFunctionBase : public FiniteDifferenceSparseImageFunction { public: ITK_DISALLOW_COPY_AND_MOVE(NormalVectorFunctionBase); /** Standard class type alias. */ using Self = NormalVectorFunctionBase; using Superclass = FiniteDifferenceSparseImageFunction; using Pointer = SmartPointer; using ConstPointer = SmartPointer; /** \see LightObject::GetNameOfClass() */ itkOverrideGetNameOfClassMacro(NormalVectorFunctionBase); /** Image dimension derived from the superclass. */ static constexpr unsigned int ImageDimension = Superclass::ImageDimension; /** Typedefs from the superclass. */ using typename Superclass::TimeStepType; using typename Superclass::RadiusType; using typename Superclass::NeighborhoodType; using typename Superclass::FloatOffsetType; using typename Superclass::IndexType; using typename Superclass::SparseImageType; /** The node type for the sparse image. */ using NodeType = typename SparseImageType::NodeType; /** The basic floating point type for the variables. */ using NodeValueType = typename NodeType::NodeValueType; /** The vector type for the normals. */ using NormalVectorType = typename NodeType::NodeDataType; /** GlobalData methods are not needed in this class. */ void * GetGlobalDataPointer() const override { return nullptr; } void ReleaseGlobalDataPointer(void *) const override {} /** For the global time step, we return the time step parameter. */ TimeStepType ComputeGlobalTimeStep(void *) const override { return m_TimeStep; } /** Sets the time step. */ void SetTimeStep(const TimeStepType & ts) { m_TimeStep = ts; } /** Returns the time step. */ TimeStepType GetTimeStep() const { return m_TimeStep; } protected: NormalVectorFunctionBase(); ~NormalVectorFunctionBase() override = default; void PrintSelf(std::ostream & os, Indent indent) const override; private: /** The time step for normal vector finite difference computations. */ TimeStepType m_TimeStep{}; }; } // end namespace itk #ifndef ITK_MANUAL_INSTANTIATION # include "itkNormalVectorFunctionBase.hxx" #endif #endif