SimpleITK  1.0.1
Public Types | Public Member Functions | Private Types | Private Member Functions | Private Attributes | Friends | List of all members
itk::simple::BinaryMinMaxCurvatureFlowImageFilter Class Reference

Denoise a binary image using min/max curvature flow. More...

#include <sitkBinaryMinMaxCurvatureFlowImageFilter.h>

+ Inheritance diagram for itk::simple::BinaryMinMaxCurvatureFlowImageFilter:
+ Collaboration diagram for itk::simple::BinaryMinMaxCurvatureFlowImageFilter:

Public Types

typedef RealPixelIDTypeList PixelIDTypeList
typedef BinaryMinMaxCurvatureFlowImageFilter Self
- Public Types inherited from itk::simple::ImageFilter< 1 >
typedef ImageFilter Self
- Public Types inherited from itk::simple::ProcessObject
typedef ProcessObject Self

Public Member Functions

 BinaryMinMaxCurvatureFlowImageFilter ()
Image Execute (const Image &image1)
Image Execute (const Image &image1, double timeStep, uint32_t numberOfIterations, int stencilRadius, double threshold)
std::string GetName () const
uint32_t GetNumberOfIterations () const
int GetStencilRadius () const
double GetThreshold () const
double GetTimeStep () const
SelfSetNumberOfIterations (uint32_t NumberOfIterations)
SelfSetStencilRadius (int StencilRadius)
SelfSetThreshold (double Threshold)
SelfSetTimeStep (double TimeStep)
std::string ToString () const
 ~BinaryMinMaxCurvatureFlowImageFilter ()
- Public Member Functions inherited from itk::simple::ImageFilter< 1 >
 ImageFilter ()
virtual ~ImageFilter ()=0
- Public Member Functions inherited from itk::simple::ProcessObject
virtual void Abort ()
virtual int AddCommand (itk::simple::EventEnum event, itk::simple::Command &cmd)
 Add a Command Object to observer the event. More...
virtual float GetProgress () const
 An Active Measurement of the progress of execution. More...
virtual bool HasCommand (itk::simple::EventEnum event) const
 Query of this object has any registered commands for event. More...
 ProcessObject ()
virtual void RemoveAllCommands ()
 Remove all registered commands. More...
virtual ~ProcessObject ()
virtual void DebugOn ()
virtual void DebugOff ()
virtual bool GetDebug () const
virtual void SetDebug (bool debugFlag)
virtual void SetNumberOfThreads (unsigned int n)
virtual unsigned int GetNumberOfThreads () const

Private Types

typedef Image(Self::* MemberFunctionType) (const Image &image1)

Private Member Functions

template<class TImageType >
Image ExecuteInternal (const Image &image1)

Private Attributes

nsstd::auto_ptr< detail::MemberFunctionFactory< MemberFunctionType > > m_MemberFactory
uint32_t m_NumberOfIterations
int m_StencilRadius
double m_Threshold
double m_TimeStep


struct detail::MemberFunctionAddressor< MemberFunctionType >

Additional Inherited Members

- Static Public Member Functions inherited from itk::simple::ProcessObject
static bool GetGlobalDefaultDebug ()
static void GlobalDefaultDebugOff ()
static void GlobalDefaultDebugOn ()
static void SetGlobalDefaultDebug (bool debugFlag)
static void GlobalWarningDisplayOn ()
static void GlobalWarningDisplayOff ()
static void SetGlobalWarningDisplay (bool flag)
static bool GetGlobalWarningDisplay ()
static void SetGlobalDefaultNumberOfThreads (unsigned int n)
static unsigned int GetGlobalDefaultNumberOfThreads ()
static double GetGlobalDefaultCoordinateTolerance ()
 Access the global tolerance to determine congruent spaces. More...
static void SetGlobalDefaultCoordinateTolerance (double)
 Access the global tolerance to determine congruent spaces. More...
static double GetGlobalDefaultDirectionTolerance ()
 Access the global tolerance to determine congruent spaces. More...
static void SetGlobalDefaultDirectionTolerance (double)
 Access the global tolerance to determine congruent spaces. More...
- Protected Member Functions inherited from itk::simple::ProcessObject
virtual unsigned long AddITKObserver (const itk::EventObject &, itk::Command *)
virtual itk::ProcessObjectGetActiveProcess ()
virtual void OnActiveProcessDelete ()
virtual void onCommandDelete (const itk::simple::Command *cmd) throw ()
virtual void PreUpdate (itk::ProcessObject *p)
virtual void RemoveITKObserver (EventCommand &e)
- Protected Member Functions inherited from itk::simple::NonCopyable
 NonCopyable ()
- Static Protected Member Functions inherited from itk::simple::ImageFilter< 1 >
static void FixNonZeroIndex (TImageType *img)
- Static Protected Member Functions inherited from itk::simple::ProcessObject
template<class TImageType >
static TImageType::ConstPointer CastImageToITK (const Image &img)
template<class TImageType >
static Image CastITKToImage (TImageType *img)
template<class TPixelType , unsigned int VImageDimension, unsigned int VLength, template< typename, unsigned int > class TVector>
static Image CastITKToImage (itk::Image< TVector< TPixelType, VLength >, VImageDimension > *img)
static const itk::EventObjectGetITKEventObject (EventEnum e)
template<typename T >
static std::ostream & ToStringHelper (std::ostream &os, const T &v)
static std::ostream & ToStringHelper (std::ostream &os, const char &v)
static std::ostream & ToStringHelper (std::ostream &os, const signed char &v)
static std::ostream & ToStringHelper (std::ostream &os, const unsigned char &v)

Detailed Description

Denoise a binary image using min/max curvature flow.

BinaryMinMaxCurvatureFlowImageFilter implements a curvature driven image denosing algorithm. This filter assumes that the image is essentially binary: consisting of two classes. Iso-brightness contours in the input image are viewed as a level set. The level set is then evolved using a curvature-based speed function:

\[ I_t = F_{\mbox{minmax}} |\nabla I| \]

where $ F_{\mbox{minmax}} = \min(\kappa,0) $ if $ \mbox{Avg}_{\mbox{stencil}}(x) $ is less than or equal to $ T_{thresold} $ and $ \max(\kappa,0) $ , otherwise. $ \kappa $ is the mean curvature of the iso-brightness contour at point $ x $ .

In min/max curvature flow, movement is turned on or off depending on the scale of the noise one wants to remove. Switching depends on the average image value of a region of radius $ R $ around each point. The choice of $ R $ , the stencil radius, governs the scale of the noise to be removed.

The threshold value $ T_{threshold} $ is a user specified value which discriminates between the two pixel classes.

This filter make use of the multi-threaded finite difference solver hierarchy. Updates are computed using a BinaryMinMaxCurvatureFlowFunction object. A zero flux Neumann boundary condition is used when computing derivatives near the data boundary.

This filter assumes that the input and output types have the same dimensions. This filter also requires that the output image pixels are of a real type. This filter works for any dimensional images.

Reference: "Level Set Methods and Fast Marching Methods", J.A. Sethian, Cambridge Press, Chapter 16, Second edition, 1999.

See also
itk::simple::BinaryMinMaxCurvatureFlow for the procedural interface
itk::BinaryMinMaxCurvatureFlowImageFilter for the Doxygen on the original ITK class.

Definition at line 62 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

Member Typedef Documentation

typedef Image(Self::* itk::simple::BinaryMinMaxCurvatureFlowImageFilter::MemberFunctionType) (const Image &image1)

Setup for member function dispatching

Definition at line 130 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

Define the pixels types supported by this filter

Definition at line 74 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

Definition at line 64 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

Constructor & Destructor Documentation

itk::simple::BinaryMinMaxCurvatureFlowImageFilter::BinaryMinMaxCurvatureFlowImageFilter ( )

Default Constructor that takes no arguments and initializes default parameters

itk::simple::BinaryMinMaxCurvatureFlowImageFilter::~BinaryMinMaxCurvatureFlowImageFilter ( )


Member Function Documentation

Image itk::simple::BinaryMinMaxCurvatureFlowImageFilter::Execute ( const Image image1)

Execute the filter on the input image

Image itk::simple::BinaryMinMaxCurvatureFlowImageFilter::Execute ( const Image image1,
double  timeStep,
uint32_t  numberOfIterations,
int  stencilRadius,
double  threshold 

Execute the filter on the input image with the given parameters

template<class TImageType >
Image itk::simple::BinaryMinMaxCurvatureFlowImageFilter::ExecuteInternal ( const Image image1)
std::string itk::simple::BinaryMinMaxCurvatureFlowImageFilter::GetName ( ) const

Name of this class

Implements itk::simple::ProcessObject.

Definition at line 112 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

uint32_t itk::simple::BinaryMinMaxCurvatureFlowImageFilter::GetNumberOfIterations ( ) const

Definition at line 92 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

int itk::simple::BinaryMinMaxCurvatureFlowImageFilter::GetStencilRadius ( ) const

Definition at line 100 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

double itk::simple::BinaryMinMaxCurvatureFlowImageFilter::GetThreshold ( ) const

Set/Get the threshold value.

Definition at line 110 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

double itk::simple::BinaryMinMaxCurvatureFlowImageFilter::GetTimeStep ( ) const

Definition at line 84 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

Self& itk::simple::BinaryMinMaxCurvatureFlowImageFilter::SetNumberOfIterations ( uint32_t  NumberOfIterations)

Definition at line 88 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

Self& itk::simple::BinaryMinMaxCurvatureFlowImageFilter::SetStencilRadius ( int  StencilRadius)

Definition at line 96 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

Self& itk::simple::BinaryMinMaxCurvatureFlowImageFilter::SetThreshold ( double  Threshold)

Set/Get the threshold value.

Definition at line 105 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

References itk::simple::Threshold().

Self& itk::simple::BinaryMinMaxCurvatureFlowImageFilter::SetTimeStep ( double  TimeStep)

Definition at line 80 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

std::string itk::simple::BinaryMinMaxCurvatureFlowImageFilter::ToString ( ) const

Print ourselves out

Reimplemented from itk::simple::ProcessObject.

Friends And Related Function Documentation

Definition at line 135 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

Member Data Documentation

nsstd::auto_ptr<detail::MemberFunctionFactory<MemberFunctionType> > itk::simple::BinaryMinMaxCurvatureFlowImageFilter::m_MemberFactory

Definition at line 137 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

uint32_t itk::simple::BinaryMinMaxCurvatureFlowImageFilter::m_NumberOfIterations

Definition at line 143 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

int itk::simple::BinaryMinMaxCurvatureFlowImageFilter::m_StencilRadius

Definition at line 144 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

double itk::simple::BinaryMinMaxCurvatureFlowImageFilter::m_Threshold

Definition at line 145 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

double itk::simple::BinaryMinMaxCurvatureFlowImageFilter::m_TimeStep

Definition at line 141 of file sitkBinaryMinMaxCurvatureFlowImageFilter.h.

The documentation for this class was generated from the following file: