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

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
SelfSetBackgroundValue (uint8_t BackgroundValue)
SelfSetForegroundValue (uint8_t ForegroundValue)
SelfSetMaximumError (double MaximumError)
SelfSetVariance (double Variance)
std::string ToString () const
 ZeroCrossingBasedEdgeDetectionImageFilter ()
 ~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


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

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
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)

Setup for member function dispatching

Definition at line 134 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

Define the pixels types supported by this filter

Definition at line 72 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

Constructor & Destructor Documentation

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

Default Constructor that takes no arguments and initializes default parameters

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


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

Get/Set the label values for the ZeroCrossingImageFilter

Definition at line 104 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

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

Get/Set the label values for the ZeroCrossingImageFilter

Definition at line 94 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

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

Standard get/set macros for Gaussian filter parameters.

Definition at line 114 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

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

Name of this class

Implements itk::simple::ProcessObject.

Definition at line 116 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

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

Standard get/set macros for Gaussian filter parameters.

Definition at line 84 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

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

Get/Set the label values for the ZeroCrossingImageFilter

Definition at line 99 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

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

Get/Set the label values for the ZeroCrossingImageFilter

Definition at line 89 of file sitkZeroCrossingBasedEdgeDetectionImageFilter.h.

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

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)

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

Print ourselves out

Reimplemented from itk::simple::ProcessObject.

Friends And Related Function Documentation

Member Data Documentation

uint8_t itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::m_BackgroundValue
uint8_t itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::m_ForegroundValue
double itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::m_MaximumError
nsstd::auto_ptr<detail::MemberFunctionFactory<MemberFunctionType> > itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::m_MemberFactory
double itk::simple::ZeroCrossingBasedEdgeDetectionImageFilter::m_Variance

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