/*=========================================================================
 *
 *  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 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() {}

  GeodesicActiveContourLevelSetFunction(const Self &) ITK_DELETE_FUNCTION;
  void operator=(const Self &) ITK_DELETE_FUNCTION;

  void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE
  {
    Superclass::PrintSelf(os, indent);
    os << indent << "DerivativeSigma: " << m_DerivativeSigma << std::endl;
  }

private:
  double m_DerivativeSigma;
};
} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkGeodesicActiveContourLevelSetFunction.hxx"
#endif

#endif
