This filter implements a zero-crossing based edge detecor. More...

#include <sitkZeroCrossingBasedEdgeDetectionImageFilter.h>

Inheritance diagram for itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter:

Collaboration diagram for itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter:

Public Types
typedef RealPixelIDTypeList	PixelIDTypeList

typedef ZeroCrossingBasedEdgeDetectionImageFilter	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
Image	Execute (const Image &image1)

Image	Execute (const Image &image1, double variance, uint8_t foregroundValue, uint8_t backgroundValue, double maximumError)

uint8_t	GetBackgroundValue () const

uint8_t	GetForegroundValue () const

double	GetMaximumError () const

std::string	GetName () const

double	GetVariance () const

Self &	SetBackgroundValue (uint8_t BackgroundValue)

Self &	SetForegroundValue (uint8_t ForegroundValue)

Self &	SetMaximumError (double MaximumError)

Self &	SetVariance (double Variance)

std::string	ToString () const

	ZeroCrossingBasedEdgeDetectionImageFilter ()

virtual	~ZeroCrossingBasedEdgeDetectionImageFilter ()

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
uint8_t	m_BackgroundValue

uint8_t	m_ForegroundValue

double	m_MaximumError

nsstd::auto_ptr< detail::MemberFunctionFactory< MemberFunctionType > >	m_MemberFactory

double	m_Variance

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::ProcessObject *	GetActiveProcess ()

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< 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::EventObject &	GetITKEventObject (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 implements a zero-crossing based edge detecor.

The zero-crossing based edge detector looks for pixels in the Laplacian of an image where the value of the Laplacian passes through zero points where the Laplacian changes sign. Such points often occur at "edges" in images i.e. points where the intensity of the image changes rapidly, but they also occur at places that are not as easy to associate with edges. It is best to think of the zero crossing detector as some sort of feature detector rather than as a specific edge detector.

: Zero crossings always lie on closed contours and so the output from the zero crossing detector is usually a binary image with single pixel thickness lines showing the positions of the zero crossing points.

: In this implementation, the input image is first smoothed with a Gaussian filter, then the LaplacianImageFilter is applied to smoothed image. Finally the zero-crossing of the Laplacian of the smoothed image is detected. The output is a binary image.

Inputs and Outputs: The input to the filter should be a scalar, itk::Image of arbitrary dimension. The output image is a binary, labeled image. See itkZeroCrossingImageFilter for more information on requirements of the data type of the output.

: To use this filter, first set the parameters (variance and maximum error) needed by the embedded DiscreteGaussianImageFilter , i.e. See DiscreteGaussianImageFilter for information about these parameters. Optionally, you may also set foreground and background values for the zero-crossing filter. The default label values are Zero for the background and One for the foreground, as defined in NumericTraits for the data type of the output image.

See also: DiscreteGaussianImageFilter; LaplacianImageFilter; ZeroCrossingImageFilter; itk::simple::ZeroCrossingBasedEdgeDetection for the procedural interface; itk::ZeroCrossingBasedEdgeDetectionImageFilter for the Doxygen on the original ITK class.

Definition at line 60 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

Member Typedef Documentation

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

private

Setup for member function dispatching

Definition at line 133 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

typedef RealPixelIDTypeList itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::PixelIDTypeList

Define the pixels types supported by this filter

Definition at line 72 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

typedef ZeroCrossingBasedEdgeDetectionImageFilter itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::Self

Definition at line 62 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

Constructor & Destructor Documentation

virtual itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::~ZeroCrossingBasedEdgeDetectionImageFilter ( )

virtual

Destructor

itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::ZeroCrossingBasedEdgeDetectionImageFilter ( )

Default Constructor that takes no arguments and initializes default parameters

Member Function Documentation

Image itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::Execute ( const Image & image1 )

Execute the filter on the input image

Image itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::Execute	(	const Image &	image1,
		double	variance,
		uint8_t	foregroundValue,
		uint8_t	backgroundValue,
		double	maximumError
	)

Execute the filter on the input image with the given parameters

template<class TImageType >

Image itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::ExecuteInternal ( const Image & image1 )

private

uint8_t itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::GetBackgroundValue ( ) const

inline

Get/Set the label values for the ZeroCrossingImageFilter

Definition at line 104 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

uint8_t itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::GetForegroundValue ( ) const

inline

Get/Set the label values for the ZeroCrossingImageFilter

Definition at line 94 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

double itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::GetMaximumError ( ) const

inline

Standard get/set macros for Gaussian filter parameters.

Definition at line 114 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

std::string itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::GetName ( ) const

inlinevirtual

Name of this class

Implements itk::simple::ProcessObject.

Definition at line 116 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

double itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::GetVariance ( ) const

inline

Standard get/set macros for Gaussian filter parameters.

Definition at line 84 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

Self& itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::SetBackgroundValue ( uint8_t BackgroundValue )

inline

Get/Set the label values for the ZeroCrossingImageFilter

Definition at line 99 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

Self& itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::SetForegroundValue ( uint8_t ForegroundValue )

inline

Get/Set the label values for the ZeroCrossingImageFilter

Definition at line 89 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

Self& itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::SetMaximumError ( double MaximumError )

inline

Set the MaximumError parameter needed by the embedded gaussian filter This value is used to set the desired maximum error of the gaussian approximation. Maximum error is the difference between the area under the discrete Gaussian curve and the area under the continuous Gaussian. Maximum error affects the Gaussian operator size. The value must be between 0.0 and 1.0.

Definition at line 109 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

Self& itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::SetVariance ( double Variance )

inline

Set the variance parameter needed by the embedded gaussian filter

Definition at line 79 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

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

virtual

Print ourselves out

Reimplemented from itk::simple::ProcessObject.