SimpleITK  1.3.0.dev165
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itk::simple::StochasticFractalDimensionImageFilter Class Reference

This filter computes the stochastic fractal dimension of the input image. More...

#include <sitkStochasticFractalDimensionImageFilter.h>

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

Public Types

typedef RealPixelIDTypeList PixelIDTypeList
 
typedef StochasticFractalDimensionImageFilter Self
 
- Public Types inherited from itk::simple::ImageFilter< 0 >
typedef ImageFilter Self
 
- Public Types inherited from itk::simple::ProcessObject
typedef ProcessObject Self
 

Public Member Functions

Image Execute (const Image &image, const Image &maskImage)
 
Image Execute (const Image &image)
 
Image Execute (const Image &image, const Image &maskImage, const std::vector< unsigned int > &neighborhoodRadius)
 
Image Execute (const Image &image, const std::vector< unsigned int > &neighborhoodRadius)
 
std::string GetName () const
 
std::vector< unsigned int > GetNeighborhoodRadius () const
 
SelfSetNeighborhoodRadius (const std::vector< unsigned int > &NeighborhoodRadius)
 
SelfSetNeighborhoodRadius (unsigned int value)
 
 StochasticFractalDimensionImageFilter ()
 
std::string ToString () const
 
virtual ~StochasticFractalDimensionImageFilter ()
 
- Public Member Functions inherited from itk::simple::ImageFilter< 0 >
 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 *image, const Image *maskImage)
 

Private Member Functions

template<class TImageType >
Image ExecuteInternal (const Image *image, const Image *maskImage)
 

Private Attributes

nsstd::auto_ptr< detail::MemberFunctionFactory< MemberFunctionType > > m_MemberFactory
 
std::vector< unsigned int > m_NeighborhoodRadius
 

Friends

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) SITK_NOEXCEPT
 
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< 0 >
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

This filter computes the stochastic fractal dimension of the input image.

The methodology is based on Madelbrot's fractal theory and the concept of fractional Brownian motion and yields images which have been used for classification and edge enhancement.

This class which is templated over the input and output images as well as a mask image type. The input is a scalar image, an optional neighborhood radius (default = 2), and an optional mask. The mask can be specified to decrease computation time since, as the authors point out, calculation is time-consuming.

This filter was contributed by Nick Tustison and James Gee from the PICSL lab, at the University of Pennsylvania as an paper to the Insight Journal:

"Stochastic Fractal Dimension Image" https://hdl.handle.net/1926/1525 http://www.insight-journal.org/browse/publication/318

Author
Nick Tustison
See also
itk::simple::StochasticFractalDimension for the procedural interface
itk::StochasticFractalDimensionImageFilter for the Doxygen on the original ITK class.

Definition at line 50 of file sitkStochasticFractalDimensionImageFilter.h.

Member Typedef Documentation

typedef Image(Self::* itk::simple::StochasticFractalDimensionImageFilter::MemberFunctionType) (const Image *image, const Image *maskImage)
private

Setup for member function dispatching

Definition at line 99 of file sitkStochasticFractalDimensionImageFilter.h.

Define the pixels types supported by this filter

Definition at line 62 of file sitkStochasticFractalDimensionImageFilter.h.

Definition at line 52 of file sitkStochasticFractalDimensionImageFilter.h.

Constructor & Destructor Documentation

virtual itk::simple::StochasticFractalDimensionImageFilter::~StochasticFractalDimensionImageFilter ( )
virtual

Destructor

itk::simple::StochasticFractalDimensionImageFilter::StochasticFractalDimensionImageFilter ( )

Default Constructor that takes no arguments and initializes default parameters

Member Function Documentation

Image itk::simple::StochasticFractalDimensionImageFilter::Execute ( const Image image,
const Image maskImage 
)

Execute the filter on the input image

Image itk::simple::StochasticFractalDimensionImageFilter::Execute ( const Image image)
Image itk::simple::StochasticFractalDimensionImageFilter::Execute ( const Image image,
const Image maskImage,
const std::vector< unsigned int > &  neighborhoodRadius 
)

Execute the filter on the input image with the given parameters

Image itk::simple::StochasticFractalDimensionImageFilter::Execute ( const Image image,
const std::vector< unsigned int > &  neighborhoodRadius 
)
template<class TImageType >
Image itk::simple::StochasticFractalDimensionImageFilter::ExecuteInternal ( const Image image,
const Image maskImage 
)
private
std::string itk::simple::StochasticFractalDimensionImageFilter::GetName ( ) const
inlinevirtual

Name of this class

Implements itk::simple::ProcessObject.

Definition at line 80 of file sitkStochasticFractalDimensionImageFilter.h.

std::vector<unsigned int> itk::simple::StochasticFractalDimensionImageFilter::GetNeighborhoodRadius ( ) const
inline

Manhattan radius used for evaluating the fractal dimension.

Definition at line 78 of file sitkStochasticFractalDimensionImageFilter.h.

Self& itk::simple::StochasticFractalDimensionImageFilter::SetNeighborhoodRadius ( const std::vector< unsigned int > &  NeighborhoodRadius)
inline

Manhattan radius used for evaluating the fractal dimension.

Definition at line 69 of file sitkStochasticFractalDimensionImageFilter.h.

Self& itk::simple::StochasticFractalDimensionImageFilter::SetNeighborhoodRadius ( unsigned int  value)
inline

Set the values of the NeighborhoodRadius vector all to value

Definition at line 72 of file sitkStochasticFractalDimensionImageFilter.h.

std::string itk::simple::StochasticFractalDimensionImageFilter::ToString ( ) const
virtual

Print ourselves out

Reimplemented from itk::simple::ProcessObject.

Friends And Related Function Documentation

Definition at line 103 of file sitkStochasticFractalDimensionImageFilter.h.

Member Data Documentation

nsstd::auto_ptr<detail::MemberFunctionFactory<MemberFunctionType> > itk::simple::StochasticFractalDimensionImageFilter::m_MemberFactory
private

Definition at line 105 of file sitkStochasticFractalDimensionImageFilter.h.

std::vector<unsigned int> itk::simple::StochasticFractalDimensionImageFilter::m_NeighborhoodRadius
private

Definition at line 108 of file sitkStochasticFractalDimensionImageFilter.h.


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