SimpleITK  2.1.0.dev86
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itk::simple::DiscreteGaussianDerivativeImageFilter Class Reference

Calculates image derivatives using discrete derivative gaussian kernels. This filter calculates Gaussian derivative by separable convolution of an image and a discrete Gaussian derivative operator (kernel). More...

#include <sitkDiscreteGaussianDerivativeImageFilter.h>

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

Public Types

using PixelIDTypeList = BasicPixelIDTypeList
 
using Self = DiscreteGaussianDerivativeImageFilter
 
- Public Types inherited from itk::simple::ImageFilter
using Self = ImageFilter
 
- Public Types inherited from itk::simple::ProcessObject
using Self = ProcessObject
 

Public Member Functions

 DiscreteGaussianDerivativeImageFilter ()
 
Image Execute (const Image &image1)
 
double GetMaximumError () const
 
unsigned int GetMaximumKernelWidth () const
 
std::string GetName () const
 
bool GetNormalizeAcrossScale () const
 
std::vector< unsigned int > GetOrder () const
 
bool GetUseImageSpacing () const
 
std::vector< double > GetVariance () const
 
SelfNormalizeAcrossScaleOff ()
 
SelfNormalizeAcrossScaleOn ()
 
SelfSetMaximumError (double MaximumError)
 
SelfSetMaximumKernelWidth (unsigned int MaximumKernelWidth)
 
SelfSetNormalizeAcrossScale (bool NormalizeAcrossScale)
 
SelfSetOrder (std::vector< unsigned int > Order)
 
SelfSetOrder (unsigned int value)
 
SelfSetUseImageSpacing (bool UseImageSpacing)
 
SelfSetVariance (double value)
 
SelfSetVariance (std::vector< double > Variance)
 
std::string ToString () const
 
SelfUseImageSpacingOff ()
 
SelfUseImageSpacingOn ()
 
virtual ~DiscreteGaussianDerivativeImageFilter ()
 
- Public Member Functions inherited from itk::simple::ImageFilter
 ImageFilter ()
 
virtual ~ImageFilter ()=0
 
- Public Member Functions inherited from itk::simple::ProcessObject
virtual void Abort ()
 
virtual int AddCommand (itk::simple::EventEnum event, const std::function< void()> &func)
 Directly add a callback to observe an event. More...
 
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
 
virtual void SetNumberOfWorkUnits (unsigned int n)
 
virtual unsigned int GetNumberOfWorkUnits () const
 

Private Types

using MemberFunctionType = Image(Self::*)(const Image &image1)
 

Private Member Functions

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

Private Attributes

double m_MaximumError {0.01}
 
unsigned int m_MaximumKernelWidth {32u}
 
std::unique_ptr< detail::MemberFunctionFactory< MemberFunctionType > > m_MemberFactory
 
bool m_NormalizeAcrossScale {false}
 
std::vector< unsigned int > m_Order {std::vector<unsigned int>(3, 1)}
 
bool m_UseImageSpacing {true}
 
std::vector< double > m_Variance {std::vector<double>(3, 0.0)}
 

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 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...
 
static bool SetGlobalDefaultThreader (const std::string &threader)
 Set/Get the default threader used for process objects. More...
 
static std::string GetGlobalDefaultThreader ()
 Set/Get the default threader used for process objects. More...
 
static void SetGlobalDefaultNumberOfThreads (unsigned int n)
 
static unsigned int GetGlobalDefaultNumberOfThreads ()
 Set/Get the default threader used for process objects. More...
 
- Protected Member Functions inherited from itk::simple::ImageFilter
void CheckImageMatchingDimension (const Image &image1, const Image &image2, const std::string &image2Name)
 
void CheckImageMatchingPixelType (const Image &image1, const Image &image2, const std::string &image2Name)
 
void CheckImageMatchingSize (const Image &image1, const Image &image2, const std::string &image2Name)
 
- 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) noexcept
 
virtual void PreUpdate (itk::ProcessObject *p)
 
virtual void RemoveITKObserver (EventCommand &e)
 
- Protected Member Functions inherited from itk::simple::NonCopyable
 NonCopyable ()=default
 
 NonCopyable (const NonCopyable &)=delete
 
NonCopyableoperator= (const NonCopyable &)=delete
 
- Static Protected Member Functions inherited from itk::simple::ImageFilter
template<class TImageType >
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 TPixelType , unsigned int VImageDimension, unsigned int VLength, template< typename, unsigned int > class TVector>
static Image CastITKToImage (itk::Image< TVector< TPixelType, VLength >, VImageDimension > *img)
 
template<class TImageType >
static Image CastITKToImage (TImageType *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

Calculates image derivatives using discrete derivative gaussian kernels. This filter calculates Gaussian derivative by separable convolution of an image and a discrete Gaussian derivative operator (kernel).

The Gaussian operators used here were described by Tony Lindeberg (Discrete Scale-Space Theory and the Scale-Space Primal Sketch. Dissertation. Royal Institute of Technology, Stockholm, Sweden. May 1991.)

The variance or standard deviation (sigma) will be evaluated as pixel units if SetUseImageSpacing is off (false) or as physical units if SetUseImageSpacing is on (true, default). The variance can be set independently in each dimension.

When the Gaussian kernel is small, this filter tends to run faster than itk::RecursiveGaussianImageFilter .

Author
Ivan Macia, VICOMTech, Spain, http://www.vicomtech.es

This implementation was taken from the Insight Journal paper: https://hdl.handle.net/1926/1290

See also
GaussianDerivativeOperator
Image
Neighborhood
NeighborhoodOperator
itk::simple::DiscreteGaussianDerivative for the procedural interface
itk::DiscreteGaussianDerivativeImageFilter for the Doxygen on the original ITK class.

Definition at line 62 of file sitkDiscreteGaussianDerivativeImageFilter.h.

Member Typedef Documentation

◆ MemberFunctionType

Setup for member function dispatching

Definition at line 166 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ PixelIDTypeList

Define the pixels types supported by this filter

Definition at line 74 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ Self

Definition at line 64 of file sitkDiscreteGaussianDerivativeImageFilter.h.

Constructor & Destructor Documentation

◆ ~DiscreteGaussianDerivativeImageFilter()

virtual itk::simple::DiscreteGaussianDerivativeImageFilter::~DiscreteGaussianDerivativeImageFilter ( )
virtual

Destructor

◆ DiscreteGaussianDerivativeImageFilter()

itk::simple::DiscreteGaussianDerivativeImageFilter::DiscreteGaussianDerivativeImageFilter ( )

Default Constructor that takes no arguments and initializes default parameters

Member Function Documentation

◆ Execute()

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

Execute the filter on the input image

◆ ExecuteInternal()

template<class TImageType >
Image itk::simple::DiscreteGaussianDerivativeImageFilter::ExecuteInternal ( const Image image1)
private

◆ GetMaximumError()

double itk::simple::DiscreteGaussianDerivativeImageFilter::GetMaximumError ( ) const
inline

The algorithm will size the discrete kernel so that the error resulting from truncation of the kernel is no greater than MaximumError. The default is 0.01 in each dimension.

Definition at line 121 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ GetMaximumKernelWidth()

unsigned int itk::simple::DiscreteGaussianDerivativeImageFilter::GetMaximumKernelWidth ( ) const
inline

Set the kernel to be no wider than MaximumKernelWidth pixels, even if MaximumError demands it. The default is 32 pixels.

Definition at line 111 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ GetName()

std::string itk::simple::DiscreteGaussianDerivativeImageFilter::GetName ( ) const
inlinevirtual

Name of this class

Implements itk::simple::ProcessObject.

Definition at line 152 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ GetNormalizeAcrossScale()

bool itk::simple::DiscreteGaussianDerivativeImageFilter::GetNormalizeAcrossScale ( ) const
inline

Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.

Definition at line 149 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ GetOrder()

std::vector<unsigned int> itk::simple::DiscreteGaussianDerivativeImageFilter::GetOrder ( ) const
inline

Order of derivatives in each dimension. Sets the derivative order independently for each dimension, but see also SetOrder(const unsigned int v) . The default is 1 in each dimension.

Definition at line 101 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ GetUseImageSpacing()

bool itk::simple::DiscreteGaussianDerivativeImageFilter::GetUseImageSpacing ( ) const
inline

Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.

Definition at line 135 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ GetVariance()

std::vector<double> itk::simple::DiscreteGaussianDerivativeImageFilter::GetVariance ( ) const
inline

The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v) . The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

Definition at line 88 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ NormalizeAcrossScaleOff()

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::NormalizeAcrossScaleOff ( )
inline

Definition at line 144 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ NormalizeAcrossScaleOn()

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::NormalizeAcrossScaleOn ( )
inline

Set the value of NormalizeAcrossScale to true or false respectfully.

Definition at line 143 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ SetMaximumError()

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::SetMaximumError ( double  MaximumError)
inline

Convenience Set methods for setting all dimensional parameters to the same values.

Definition at line 116 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ SetMaximumKernelWidth()

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::SetMaximumKernelWidth ( unsigned int  MaximumKernelWidth)
inline

Set the kernel to be no wider than MaximumKernelWidth pixels, even if MaximumError demands it. The default is 32 pixels.

Definition at line 106 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ SetNormalizeAcrossScale()

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::SetNormalizeAcrossScale ( bool  NormalizeAcrossScale)
inline

Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.

Definition at line 140 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ SetOrder() [1/2]

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::SetOrder ( std::vector< unsigned int >  Order)
inline

Convenience Set methods for setting all dimensional parameters to the same values.

Definition at line 93 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ SetOrder() [2/2]

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::SetOrder ( unsigned int  value)
inline

Set the values of the Order vector all to value

Definition at line 96 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ SetUseImageSpacing()

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::SetUseImageSpacing ( bool  UseImageSpacing)
inline

Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.

Definition at line 126 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ SetVariance() [1/2]

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::SetVariance ( double  value)
inline

Set the values of the Variance vector all to value

Definition at line 83 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ SetVariance() [2/2]

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::SetVariance ( std::vector< double >  Variance)
inline

Convenience Set methods for setting all dimensional parameters to the same values.

Definition at line 80 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ ToString()

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

Print ourselves out

Reimplemented from itk::simple::ProcessObject.

◆ UseImageSpacingOff()

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::UseImageSpacingOff ( )
inline

Definition at line 130 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ UseImageSpacingOn()

Self& itk::simple::DiscreteGaussianDerivativeImageFilter::UseImageSpacingOn ( )
inline

Set the value of UseImageSpacing to true or false respectfully.

Definition at line 129 of file sitkDiscreteGaussianDerivativeImageFilter.h.

Friends And Related Function Documentation

◆ detail::MemberFunctionAddressor< MemberFunctionType >

Definition at line 170 of file sitkDiscreteGaussianDerivativeImageFilter.h.

Member Data Documentation

◆ m_MaximumError

double itk::simple::DiscreteGaussianDerivativeImageFilter::m_MaximumError {0.01}
private

Definition at line 181 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ m_MaximumKernelWidth

unsigned int itk::simple::DiscreteGaussianDerivativeImageFilter::m_MaximumKernelWidth {32u}
private

Definition at line 179 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ m_MemberFactory

std::unique_ptr<detail::MemberFunctionFactory<MemberFunctionType> > itk::simple::DiscreteGaussianDerivativeImageFilter::m_MemberFactory
private

Definition at line 172 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ m_NormalizeAcrossScale

bool itk::simple::DiscreteGaussianDerivativeImageFilter::m_NormalizeAcrossScale {false}
private

Definition at line 185 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ m_Order

std::vector<unsigned int> itk::simple::DiscreteGaussianDerivativeImageFilter::m_Order {std::vector<unsigned int>(3, 1)}
private

Definition at line 177 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ m_UseImageSpacing

bool itk::simple::DiscreteGaussianDerivativeImageFilter::m_UseImageSpacing {true}
private

Definition at line 183 of file sitkDiscreteGaussianDerivativeImageFilter.h.

◆ m_Variance

std::vector<double> itk::simple::DiscreteGaussianDerivativeImageFilter::m_Variance {std::vector<double>(3, 0.0)}
private

Definition at line 175 of file sitkDiscreteGaussianDerivativeImageFilter.h.


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