/usr/include/ITK-4.5/itkRegionBasedLevelSetFunction.h is in libinsighttoolkit4-dev 4.5.0-3.
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*
* 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 __itkRegionBasedLevelSetFunction_h
#define __itkRegionBasedLevelSetFunction_h
#include "itkFiniteDifferenceFunction.h"
#include "itkRegularizedHeavisideStepFunction.h"
#include "vnl/vnl_matrix_fixed.h"
namespace itk
{
/** \class RegionBasedLevelSetFunction
*
* \brief LevelSet function that computes a speed image based on regional integrals
*
* This class implements a level set function that computes the speed image by
* integrating values on the image domain.
*
* Based on the paper:
*
* "An active contour model without edges"
* T. Chan and L. Vese.
* In Scale-Space Theories in Computer Vision, pages 141-151, 1999.
*
* \author Mosaliganti K., Smith B., Gelas A., Gouaillard A., Megason S.
*
* This code was taken from the Insight Journal paper:
*
* "Cell Tracking using Coupled Active Surfaces for Nuclei and Membranes"
* http://www.insight-journal.org/browse/publication/642
* http://hdl.handle.net/10380/3055
*
* That is based on the papers:
*
* "Level Set Segmentation: Active Contours without edge"
* http://www.insight-journal.org/browse/publication/322
* http://hdl.handle.net/1926/1532
*
* and
*
* "Level set segmentation using coupled active surfaces"
* http://www.insight-journal.org/browse/publication/323
* http://hdl.handle.net/1926/1533
*
* NOTE: The convention followed is
* inside of the level-set function is negative and outside is positive.
* \ingroup ITKReview
*/
template< typename TInput, // LevelSetImageType
typename TFeature, // FeatureImageType
typename TSharedData >
class RegionBasedLevelSetFunction:public
FiniteDifferenceFunction< TInput >
{
public:
/** Standard class typedefs. */
typedef RegionBasedLevelSetFunction Self;
typedef FiniteDifferenceFunction< TInput > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
itkStaticConstMacro(ImageDimension, unsigned int, Superclass::ImageDimension);
// itkNewMacro() is purposely not provided since this is an abstract class.
/** Run-time type information (and related methods) */
itkTypeMacro(RegionBasedLevelSetFunction, FiniteDifferenceFunction);
/** Extract some parameters from the superclass. */
typedef double TimeStepType;
typedef typename Superclass::ImageType ImageType;
typedef typename Superclass::PixelType PixelType;
typedef PixelType ScalarValueType;
typedef typename Superclass::RadiusType RadiusType;
typedef typename Superclass::NeighborhoodType NeighborhoodType;
typedef typename Superclass::NeighborhoodScalesType NeighborhoodScalesType;
typedef typename Superclass::FloatOffsetType FloatOffsetType;
typedef FixedArray< ScalarValueType, itkGetStaticConstMacro(ImageDimension) >
VectorType;
/* This structure is derived from LevelSetFunction and stores intermediate
values for computing time step sizes */
struct GlobalDataStruct {
GlobalDataStruct()
{
ScalarValueType null_value = NumericTraits< ScalarValueType >::Zero;
m_MaxCurvatureChange = null_value;
m_MaxAdvectionChange = null_value;
m_MaxGlobalChange = null_value;
}
~GlobalDataStruct() {}
vnl_matrix_fixed< ScalarValueType,
itkGetStaticConstMacro(ImageDimension),
itkGetStaticConstMacro(ImageDimension) > m_dxy;
ScalarValueType m_dx[itkGetStaticConstMacro(ImageDimension)];
ScalarValueType m_dx_forward[itkGetStaticConstMacro(ImageDimension)];
ScalarValueType m_dx_backward[itkGetStaticConstMacro(ImageDimension)];
ScalarValueType m_GradMagSqr;
ScalarValueType m_GradMag;
ScalarValueType m_MaxCurvatureChange;
ScalarValueType m_MaxAdvectionChange;
ScalarValueType m_MaxGlobalChange;
};
typedef TInput InputImageType;
typedef typename InputImageType::ConstPointer InputImageConstPointer;
typedef typename InputImageType::Pointer InputImagePointer;
typedef typename InputImageType::PixelType InputPixelType;
typedef typename InputImageType::IndexType InputIndexType;
typedef typename InputImageType::IndexValueType InputIndexValueType;
typedef typename InputImageType::SizeType InputSizeType;
typedef typename InputImageType::SizeValueType InputSizeValueType;
typedef typename InputImageType::RegionType InputRegionType;
typedef typename InputImageType::PointType InputPointType;
typedef TFeature FeatureImageType;
typedef typename FeatureImageType::ConstPointer FeatureImageConstPointer;
typedef typename FeatureImageType::PixelType FeaturePixelType;
typedef typename FeatureImageType::IndexType FeatureIndexType;
typedef typename FeatureImageType::SpacingType FeatureSpacingType;
typedef typename FeatureImageType::OffsetType FeatureOffsetType;
typedef TSharedData SharedDataType;
typedef typename SharedDataType::Pointer SharedDataPointer;
typedef HeavisideStepFunctionBase< InputPixelType, InputPixelType > HeavisideFunctionType;
typedef typename HeavisideFunctionType::ConstPointer HeavisideFunctionConstPointer;
void SetDomainFunction(const HeavisideFunctionType *f)
{
this->m_DomainFunction = f;
}
virtual void Initialize(const RadiusType & r)
{
this->SetRadius(r);
// Dummy neighborhood.
NeighborhoodType it;
it.SetRadius(r);
// Find the center index of the neighborhood.
m_Center = it.Size() / 2;
// Get the stride length for each axis.
for ( unsigned int i = 0; i < ImageDimension; i++ )
{
m_xStride[i] = it.GetStride(i);
}
}
#if !defined( CABLE_CONFIGURATION )
void SetSharedData(SharedDataPointer sharedDataIn)
{
this->m_SharedData = sharedDataIn;
}
#endif
void UpdateSharedData(bool forceUpdate);
void * GetGlobalDataPointer() const
{
return new GlobalDataStruct;
}
TimeStepType ComputeGlobalTimeStep(void *GlobalData) const;
/** Compute the equation value. */
virtual PixelType ComputeUpdate( const NeighborhoodType & neighborhood,
void *globalData, const FloatOffsetType & = FloatOffsetType(0.0) );
void SetInitialImage(InputImageType *f)
{
m_InitialImage = f;
}
virtual const FeatureImageType * GetFeatureImage() const
{ return m_FeatureImage.GetPointer(); }
virtual void SetFeatureImage(const FeatureImageType *f)
{
m_FeatureImage = f;
FeatureSpacingType spacing = m_FeatureImage->GetSpacing();
for ( unsigned int i = 0; i < ImageDimension; i++ )
{
this->m_InvSpacing[i] = 1 / spacing[i];
}
}
/** Advection field. Default implementation returns a vector of zeros. */
virtual VectorType AdvectionField(const NeighborhoodType &,
const FloatOffsetType &, GlobalDataStruct * = 0) const
{ return this->m_ZeroVectorConstant; }
/** Nu. Area regularization values */
void SetAreaWeight(const ScalarValueType & nu)
{ this->m_AreaWeight = nu; }
ScalarValueType GetAreaWeight() const
{ return this->m_AreaWeight; }
/** Lambda1. Internal intensity difference weight */
void SetLambda1(const ScalarValueType & lambda1)
{ this->m_Lambda1 = lambda1; }
ScalarValueType GetLambda1() const
{ return this->m_Lambda1; }
/** Lambda2. External intensity difference weight */
void SetLambda2(const ScalarValueType & lambda2)
{ this->m_Lambda2 = lambda2; }
ScalarValueType GetLambda2() const
{ return this->m_Lambda2; }
/** Gamma. Overlap penalty */
void SetOverlapPenaltyWeight(const ScalarValueType & gamma)
{ this->m_OverlapPenaltyWeight = gamma; }
ScalarValueType GetOverlapPenaltyWeight() const
{ return this->m_OverlapPenaltyWeight; }
/** Gamma. Scales all curvature weight values */
virtual void SetCurvatureWeight(const ScalarValueType c)
{ m_CurvatureWeight = c; }
ScalarValueType GetCurvatureWeight() const
{ return m_CurvatureWeight; }
void SetAdvectionWeight(const ScalarValueType & iA)
{ this->m_AdvectionWeight = iA; }
ScalarValueType GetAdvectionWeight() const
{ return this->m_AdvectionWeight; }
/** Weight of the laplacian smoothing term */
void SetReinitializationSmoothingWeight(const ScalarValueType c)
{ m_ReinitializationSmoothingWeight = c; }
ScalarValueType GetReinitializationSmoothingWeight() const
{ return m_ReinitializationSmoothingWeight; }
/** Volume matching weight. */
void SetVolumeMatchingWeight(const ScalarValueType & tau)
{ this->m_VolumeMatchingWeight = tau; }
ScalarValueType GetVolumeMatchingWeight() const
{ return this->m_VolumeMatchingWeight; }
/** Pixel Volume = Number of pixels inside the level-set */
void SetVolume(const ScalarValueType & volume)
{ this->m_Volume = volume; }
ScalarValueType GetVolume() const
{ return this->m_Volume; }
/** Set function id. */
void SetFunctionId(const unsigned int & iFid)
{ this->m_FunctionId = iFid; }
virtual void ReleaseGlobalDataPointer(void *GlobalData) const
{ delete (GlobalDataStruct *)GlobalData; }
virtual ScalarValueType ComputeCurvature(const NeighborhoodType &,
const FloatOffsetType &, GlobalDataStruct *gd);
/** \brief Laplacian smoothing speed can be used to spatially modify the
effects of laplacian smoothing of the level set function */
virtual ScalarValueType LaplacianSmoothingSpeed(
const NeighborhoodType &,
const FloatOffsetType &, GlobalDataStruct * = 0) const
{ return NumericTraits< ScalarValueType >::One; }
/** \brief Curvature speed can be used to spatially modify the effects of
curvature . The default implementation returns one. */
virtual ScalarValueType CurvatureSpeed(const NeighborhoodType &,
const FloatOffsetType &, GlobalDataStruct * = 0
) const
{ return NumericTraits< ScalarValueType >::One; }
/** This method must be defined in a subclass to implement a working function
* object. This method is called before the solver begins its work to
* produce the speed image used as the level set function's Advection field
* term. See LevelSetFunction for more information. */
virtual void CalculateAdvectionImage() {}
protected:
RegionBasedLevelSetFunction();
virtual ~RegionBasedLevelSetFunction() {}
/** The initial level set image */
InputImageConstPointer m_InitialImage;
/** The feature image */
FeatureImageConstPointer m_FeatureImage;
SharedDataPointer m_SharedData;
HeavisideFunctionConstPointer m_DomainFunction;
/** Area regularization weight */
ScalarValueType m_AreaWeight;
/** Internal functional of the level set weight */
ScalarValueType m_Lambda1;
/** External functional of the level set weight */
ScalarValueType m_Lambda2;
/** Overlap Penalty Weight */
ScalarValueType m_OverlapPenaltyWeight;
/** Volume Regularization Weight */
ScalarValueType m_VolumeMatchingWeight;
/** Volume Constraint in pixels */
ScalarValueType m_Volume;
/** Curvature Regularization Weight */
ScalarValueType m_CurvatureWeight;
ScalarValueType m_AdvectionWeight;
/** Laplacian Regularization Weight */
ScalarValueType m_ReinitializationSmoothingWeight;
unsigned int m_FunctionId;
std::slice x_slice[itkGetStaticConstMacro(ImageDimension)];
OffsetValueType m_Center;
OffsetValueType m_xStride[itkGetStaticConstMacro(ImageDimension)];
double m_InvSpacing[itkGetStaticConstMacro(ImageDimension)];
static double m_WaveDT;
static double m_DT;
void ComputeHImage();
/** \brief Compute the global term as a combination of the internal, external,
overlapping and volume regularization terms. */
ScalarValueType ComputeGlobalTerm(
const ScalarValueType & imagePixel,
const InputIndexType & inputIndex);
/** \brief Compute the internal term
\param[in] iValue Feature Image Value
\param[in] iIdx Feature Image Index
*/
virtual ScalarValueType ComputeInternalTerm(const FeaturePixelType & iValue,
const FeatureIndexType & iIdx) = 0;
/** \brief Compute the external term
\param[in] iValue Feature Image Value
\param[in] iIdx Feature Image Index */
virtual ScalarValueType ComputeExternalTerm(const FeaturePixelType & iValue,
const FeatureIndexType & iIdx) = 0;
/** \brief Compute the overlap term
\param[in] featIndex
\param[out] pr = \f$ \prod_{i \neq j} H(\phi_i)\f$
\return OverlapTerm = \f$ \sum_{i \neq j} H(\phi_i)\f$ */
virtual ScalarValueType ComputeOverlapParameters(const FeatureIndexType & featIndex,
ScalarValueType & pr) = 0;
/** \brief Compute the overlap term
\return \f$ \int_{p \in \Omega} H(\phi_i) dp - this->Volume \f$
\note the volume regularization does not depend on the spacing.
So the volume must be set in number of pixels (not in real world unit). */
ScalarValueType ComputeVolumeRegularizationTerm();
/** \brief Compute the laplacian term
\return \f$ \Delta \phi - \div(\frac{\nabla \phi}{|\nabla \phi|}) \f$
For details see
\par REFERENCE
Li, C.M. and Xu, C.Y. and Gui, C. and Fox, M.D.
"Level Set Evolution without Re-Initialization: A New Variational Formulation",
CVPR05. 2005. pp. 430-436.
*/
/** \brief Compute the laplacian
\return \f$ \Delta \phi \f$ */
ScalarValueType ComputeLaplacian(GlobalDataStruct *gd);
/** \brief Compute Hessian Matrix */
void ComputeHessian(const NeighborhoodType & it,
GlobalDataStruct *globalData);
/** \brief Compute Parameters for the inner and outer parts. */
virtual void ComputeParameters() = 0;
/** \brief Update and save the inner and outer parameters in the shared data
structure. */
virtual void UpdateSharedDataParameters() = 0;
bool m_UpdateC;
/** This method's only purpose is to initialize the zero vector
* constant. */
static VectorType InitializeZeroVectorConstant();
/** Zero vector constant. */
static VectorType m_ZeroVectorConstant;
private:
RegionBasedLevelSetFunction(const Self &); //purposely not implemented
void operator=(const Self &); //purposely not implemented
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkRegionBasedLevelSetFunction.hxx"
#endif
#endif
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