/*========================================================================= * * Copyright Insight Software Consortium * * 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 itkGeodesicActiveContourLevelSetFunction_h #define itkGeodesicActiveContourLevelSetFunction_h #include "itkSegmentationLevelSetFunction.h" namespace itk { /** \class GeodesicActiveContourLevelSetFunction * * \brief This function is used in GeodesicActiveContourLevelSetImageFilter to * segment structures in an image based on a user supplied edge potential map. * * \par IMPORTANT * The LevelSetFunction class contain additional information necessary * to gain full understanding of how to use this function. * * GeodesicActiveContourLevelSetFunction is a subclass of the generic LevelSetFunction. * It is used to segment structures in an image based on a user supplied * edge potential map \f$ g(I) \f$, which * has values close to zero in regions near edges (or high image gradient) and values * close to one in regions with relatively constant intensity. Typically, the edge * potential map is a function of the gradient, for example: * * \f[ g(I) = 1 / ( 1 + | (\nabla * G)(I)| ) \f] * \f[ g(I) = \exp^{-|(\nabla * G)(I)|} \f] * * where \f$ I \f$ is image intensity and * \f$ (\nabla * G) \f$ is the derivative of Gaussian operator. * * The edge potential image is set via the SetFeatureImage() method. * * In this function both the propagation term \f$ P(\mathbf{x}) \f$ * and the curvature spatial modifier term \f$ Z(\mathbf{x}) \f$ are taken directly * from the edge potential image such that: * * \f[ P(\mathbf{x}) = g(\mathbf{x}) \f] * \f[ Z(\mathbf{x}) = g(\mathbf{x}) \f] * * An advection term \f$ \mathbf{A}(\mathbf{x}) \f$ is constructed * from the negative gradient of the edge potential image. * * \f[ \mathbf{A}(\mathbf{x}) = -\nabla g(\mathbf{x}) \f] * * This term behaves like a doublet attracting the contour to the edges. * * This implementation is based on: * "Geodesic Active Contours", * V. Caselles, R. Kimmel and G. Sapiro. * International Journal on Computer Vision, * Vol 22, No. 1, pp 61-97, 1997 * * \sa LevelSetFunction * \sa SegmentationLevelSetImageFunction * \sa GeodesicActiveContourLevelSetImageFilter * * \ingroup FiniteDifferenceFunctions * \ingroup ITKLevelSets */ template< typename TImageType, typename TFeatureImageType = TImageType > class ITK_TEMPLATE_EXPORT GeodesicActiveContourLevelSetFunction: public SegmentationLevelSetFunction< TImageType, TFeatureImageType > { public: /** Standard class typedefs. */ typedef GeodesicActiveContourLevelSetFunction Self; typedef SegmentationLevelSetFunction< TImageType, TFeatureImageType > Superclass; typedef SmartPointer< Self > Pointer; typedef SmartPointer< const Self > ConstPointer; typedef TFeatureImageType FeatureImageType; /** Method for creation through the object factory. */ itkNewMacro(Self); /** Run-time type information (and related methods). */ itkTypeMacro(GeodesicActiveContourLevelSetFunction, SegmentationLevelSetFunction); /** Extract some parameters from the superclass. */ typedef typename Superclass::ImageType ImageType; typedef typename Superclass::NeighborhoodType NeighborhoodType; typedef typename Superclass::ScalarValueType ScalarValueType; typedef typename Superclass::FeatureScalarType FeatureScalarType; typedef typename Superclass::RadiusType RadiusType; typedef typename Superclass::FloatOffsetType FloatOffsetType; typedef typename Superclass::VectorImageType VectorImageType; typedef typename Superclass::GlobalDataStruct GlobalDataStruct; /** Extract some parameters from the superclass. */ itkStaticConstMacro(ImageDimension, unsigned int, Superclass::ImageDimension); /** Compute speed image from feature image. */ virtual void CalculateSpeedImage() ITK_OVERRIDE; /** Compute the advection field from feature image. */ virtual void CalculateAdvectionImage() ITK_OVERRIDE; /** The curvature speed is same as the propagation speed. */ virtual ScalarValueType CurvatureSpeed(const NeighborhoodType & neighborhood, const FloatOffsetType & offset, GlobalDataStruct *gd) const ITK_OVERRIDE { return this->PropagationSpeed(neighborhood, offset, gd); } /** Set/Get the sigma for the Gaussian kernel used to compute the gradient * of the feature image needed for the advection term of the equation. */ void SetDerivativeSigma(const double v) { m_DerivativeSigma = v; } double GetDerivativeSigma() { return m_DerivativeSigma; } virtual void Initialize(const RadiusType & r) ITK_OVERRIDE { Superclass::Initialize(r); this->SetAdvectionWeight(NumericTraits< ScalarValueType >::OneValue()); this->SetPropagationWeight(NumericTraits< ScalarValueType >::OneValue()); this->SetCurvatureWeight(NumericTraits< ScalarValueType >::OneValue()); } protected: GeodesicActiveContourLevelSetFunction() { this->SetAdvectionWeight(NumericTraits< ScalarValueType >::OneValue()); this->SetPropagationWeight(NumericTraits< ScalarValueType >::OneValue()); this->SetCurvatureWeight(NumericTraits< ScalarValueType >::OneValue()); m_DerivativeSigma = 1.0; } virtual ~GeodesicActiveContourLevelSetFunction() ITK_OVERRIDE {} ITK_DISALLOW_COPY_AND_ASSIGN(GeodesicActiveContourLevelSetFunction); void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE; private: double m_DerivativeSigma; }; } // end namespace itk #ifndef ITK_MANUAL_INSTANTIATION #include "itkGeodesicActiveContourLevelSetFunction.hxx" #endif #endif