ITK  4.6.0
Insight Segmentation and Registration Toolkit
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itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkCannyEdgeDetectionRecursiveGaussianImageFilter.h>

+ Inheritance diagram for itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >:
+ Collaboration diagram for itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >:

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >

This filter is an implementation of a Canny edge detector for scalar-valued images. Based on John Canny's paper "A Computational Approach to Edge Detection"(IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-8, No.6, November 1986), there are four major steps used in the edge-detection scheme: (1) Smooth the input image with Gaussian filter. (2) Calculate the second directional derivatives of the smoothed image. (3) Non-Maximum Suppression: the zero-crossings of 2nd derivative are found, and the sign of third derivative is used to find the correct extrema. (4) The hysteresis thresholding is applied to the gradient magnitude (multiplied with zero-crossings) of the smoothed image to find and link edges.

Inputs and Outputs
The input to this filter should be a scalar, real-valued Itk image of arbitrary dimension. The output should also be a scalar, real-value Itk image of the same dimensionality.
Parameters
There are four parameters for this filter that control the sub-filters used by the algorithm.
Sigma is used in the Gaussian smoothing of the input image. See itkSmoothingRecursiveGaussianImageFilter for information on these parameters.
Threshold is the lowest allowed value in the output image. Its data type is the same as the data type of the output image. Any values below the Threshold level will be replaced with the OutsideValue parameter value, whose default is zero.
Todo:
Edge-linking will be added when an itk connected component labeling algorithm is available.
See Also
SmoothingRecursiveGaussianImageFilter
ZeroCrossingImageFilter
ThresholdImageFilter

Definition at line 92 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

Classes

struct  CannyThreadStruct
 

Public Types

typedef FixedArray< double,
itkGetStaticConstMacro(ImageDimension)> 
ArrayType
 
typedef SmartPointer< const SelfConstPointer
 
typedef
ZeroFluxNeumannBoundaryCondition
< OutputImageType
DefaultBoundaryConditionType
 
typedef
SmoothingRecursiveGaussianImageFilter
< InputImageType,
OutputImageType
GaussianImageFilterType
 
typedef TInputImage::IndexType IndexType
 
typedef TInputImage::PixelType InputImagePixelType
 
typedef TInputImage InputImageType
 
typedef ObjectStore< ListNodeTypeListNodeStorageType
 
typedef ListNode< IndexTypeListNodeType
 
typedef ListType::Pointer ListPointerType
 
typedef SparseFieldLayer
< ListNodeType
ListType
 
typedef
ConstNeighborhoodIterator
< OutputImageType,
DefaultBoundaryConditionType
NeighborhoodType
 
typedef TOutputImage::PixelType OutputImagePixelType
 
typedef TOutputImage::RegionType OutputImageRegionType
 
typedef TOutputImage OutputImageType
 
typedef SmartPointer< SelfPointer
 
typedef
GaussianImageFilterType::ScalarRealType 
ScalarRealType
 
typedef
CannyEdgeDetectionRecursiveGaussianImageFilter 
Self
 
typedef
GaussianImageFilterType::SigmaArrayType 
SigmaArrayType
 
typedef ImageToImageFilter
< TInputImage, TOutputImage > 
Superclass
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef SmartPointer< const SelfConstPointer
 
typedef
InputImageType::ConstPointer 
InputImageConstPointer
 
typedef InputImageType::PixelType InputImagePixelType
 
typedef InputImageType::Pointer InputImagePointer
 
typedef InputImageType::RegionType InputImageRegionType
 
typedef TInputImage InputImageType
 
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
 
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
 
typedef SmartPointer< SelfPointer
 
typedef ImageToImageFilter Self
 
typedef ImageSource< TOutputImage > Superclass
 
- Public Types inherited from itk::ImageSource< TOutputImage >
typedef SmartPointer< const SelfConstPointer
 
typedef
Superclass::DataObjectIdentifierType 
DataObjectIdentifierType
 
typedef DataObject::Pointer DataObjectPointer
 
typedef
Superclass::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType
 
typedef OutputImageType::PixelType OutputImagePixelType
 
typedef OutputImageType::Pointer OutputImagePointer
 
typedef OutputImageType::RegionType OutputImageRegionType
 
typedef TOutputImage OutputImageType
 
typedef SmartPointer< SelfPointer
 
typedef ImageSource Self
 
typedef ProcessObject Superclass
 
- Public Types inherited from itk::ProcessObject
typedef SmartPointer< const SelfConstPointer
 
typedef
DataObject::DataObjectIdentifierType 
DataObjectIdentifierType
 
typedef DataObject::Pointer DataObjectPointer
 
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
 
typedef
DataObjectPointerArray::size_type 
DataObjectPointerArraySizeType
 
typedef std::vector
< DataObjectIdentifierType
NameArray
 
typedef SmartPointer< SelfPointer
 
typedef ProcessObject Self
 
typedef Object Superclass
 
- Public Types inherited from itk::Object
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef Object Self
 
typedef LightObject Superclass
 
- Public Types inherited from itk::LightObject
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef LightObject Self
 

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
 
virtual void GenerateInputRequestedRegion () throw (InvalidRequestedRegionError)
 
virtual OutputImagePixelType GetLowerThreshold ()
 
virtual const char * GetNameOfClass () const
 
OutputImageTypeGetNonMaximumSuppressionImage () const
 
virtual OutputImagePixelType GetOutsideValue ()
 
OutputImagePixelType GetThreshold (OutputImagePixelType)
 
virtual OutputImagePixelType GetUpperThreshold ()
 
virtual void SetLowerThreshold (OutputImagePixelType _arg)
 
virtual void SetOutsideValue (OutputImagePixelType _arg)
 
void SetThreshold (const OutputImagePixelType th)
 
virtual void SetUpperThreshold (OutputImagePixelType _arg)
 
 typedef (Concept::HasNumericTraits< InputImagePixelType >) InputHasNumericTraitsCheck
 
 typedef (Concept::HasNumericTraits< OutputImagePixelType >) OutputHasNumericTraitsCheck
 
 typedef (Concept::SameDimension< ImageDimension, OutputImageDimension >) SameDimensionCheck
 
 typedef (Concept::IsFloatingPoint< InputImagePixelType >) InputIsFloatingPointCheck
 
 typedef (Concept::IsFloatingPoint< OutputImagePixelType >) OutputIsFloatingPointCheck
 
void SetSigmaArray (const SigmaArrayType &sigmas)
 
void SetSigma (ScalarRealType sigma)
 
SigmaArrayType GetSigmaArray () const
 
ScalarRealType GetSigma () const
 
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageTypeGetInput (void) const
 
const InputImageTypeGetInput (unsigned int idx) const
 
virtual void PopBackInput ()
 
virtual void PopFrontInput ()
 
virtual void PushBackInput (const InputImageType *image)
 
virtual void PushFrontInput (const InputImageType *image)
 
virtual void SetInput (const InputImageType *image)
 
virtual void SetInput (unsigned int, const TInputImage *image)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
- Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageTypeGetOutput (unsigned int idx)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
 
virtual void GraftOutput (DataObject *output)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
 
OutputImageTypeGetOutput (void)
 
const OutputImageTypeGetOutput (void) const
 
virtual
ProcessObject::DataObjectPointer 
MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) ITK_OVERRIDE
 
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOff ()
 
virtual void AbortGenerateDataOn ()
 
virtual void EnlargeOutputRequestedRegion (DataObject *)
 
virtual const bool & GetAbortGenerateData () const
 
NameArray GetInputNames () const
 
MultiThreader * GetMultiThreader () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual
DataObjectPointerArraySizeType 
GetNumberOfValidRequiredInputs () const
 
NameArray GetOutputNames () const
 
virtual const float & GetProgress () const
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
virtual DataObjectPointer MakeOutput (const DataObjectIdentifierType &)
 
virtual void PrepareOutputs ()
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void ResetPipeline ()
 
virtual void SetAbortGenerateData (bool _arg)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float progress)
 
DataObjectPointerArray GetInputs ()
 
DataObjectPointerArray GetOutputs ()
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
void SetProgress (float progress)
 
virtual void SetReleaseDataFlag (bool flag)
 
virtual bool GetReleaseDataFlag () const
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual const bool & GetReleaseDataBeforeUpdateFlag () const
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
virtual void ReleaseDataBeforeUpdateFlagOff ()
 
virtual void SetNumberOfThreads (ThreadIdType _arg)
 
virtual const ThreadIdTypeGetNumberOfThreads () const
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
virtual void Register () const ITK_OVERRIDE
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetReferenceCount (int) ITK_OVERRIDE
 
virtual void UnRegister () const ITK_OVERRIDE
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool flag)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 

Static Public Attributes

static const unsigned int ImageDimension = TInputImage::ImageDimension
 
static const unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static const unsigned int InputImageDimension = TInputImage::ImageDimension
 
static const unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static const unsigned int OutputImageDimension = TOutputImage::ImageDimension
 

Protected Types

typedef MultiplyImageFilter
< OutputImageType,
OutputImageType,
OutputImageType
MultiplyImageFilterType
 
- Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension) > 
InputToOutputRegionCopierType
 
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension) > 
OutputToInputRegionCopierType
 
- Protected Types inherited from itk::LightObject
typedef int InternalReferenceCountType
 

Protected Member Functions

 CannyEdgeDetectionRecursiveGaussianImageFilter ()
 
 CannyEdgeDetectionRecursiveGaussianImageFilter (const Self &)
 
void GenerateData ()
 
void PrintSelf (std::ostream &os, Indent indent) const
 
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
 ImageToImageFilter ()
 
virtual void VerifyInputInformation ()
 
 ~ImageToImageFilter ()
 
void PushBackInput (const DataObject *input)
 
void PushFrontInput (const DataObject *input)
 
- Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void AfterThreadedGenerateData ()
 
virtual void AllocateOutputs ()
 
virtual void BeforeThreadedGenerateData ()
 
virtual const
ImageRegionSplitterBase
GetImageRegionSplitter (void) const
 
 ImageSource ()
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
 
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
 
virtual ~ImageSource ()
 
- Protected Member Functions inherited from itk::ProcessObject
virtual void AddInput (DataObject *input)
 
virtual void AddOutput (DataObject *output)
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void GenerateOutputInformation ()
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredOutputs () const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
 itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
 
 itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
 
 itkLegacyMacro (virtual void RemoveInput(DataObject *input))
 
 itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
 ProcessObject ()
 
virtual void PropagateResetPipeline ()
 
virtual void ReleaseInputs ()
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
virtual void RestoreInputReleaseDataFlags ()
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual void SetOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void SetPrimaryInput (DataObject *input)
 
virtual void SetPrimaryOutput (DataObject *output)
 
virtual void VerifyPreconditions ()
 
 ~ProcessObject ()
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName (void) const
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredInputs () const
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
void SetRequiredInputNames (const NameArray &)
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName (void) const
 
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
virtual ~Object ()
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 

Private Member Functions

void AllocateUpdateBuffer ()
 
void Compute2ndDerivative ()
 
void Compute2ndDerivativePos ()
 
OutputImagePixelType ComputeCannyEdge (const NeighborhoodType &it, void *globalData)
 
void FollowEdge (IndexType index)
 
void HysteresisThresholding ()
 
bool InBounds (IndexType index)
 
void ThreadedCompute2ndDerivative (const OutputImageRegionType &outputRegionForThread, int threadId)
 
void ThreadedCompute2ndDerivativePos (const OutputImageRegionType &outputRegionForThread, int threadId)
 
virtual ~CannyEdgeDetectionRecursiveGaussianImageFilter ()
 

Static Private Member Functions

static ITK_THREAD_RETURN_TYPE Compute2ndDerivativePosThreaderCallback (void *arg)
 
static ITK_THREAD_RETURN_TYPE Compute2ndDerivativeThreaderCallback (void *arg)
 

Private Attributes

unsigned long m_Center
 
std::slice m_ComputeCannyEdgeSlice [ImageDimension]
 
GaussianImageFilterType::Pointer m_GaussianFilter
 
OutputImagePixelType m_LowerThreshold
 
ArrayType m_MaximumError
 
MultiplyImageFilterType::Pointer m_MultiplyImageFilter
 
ListPointerType m_NodeList
 
ListNodeStorageType::Pointer m_NodeStore
 
OutputImagePixelType m_OutsideValue
 
SigmaArrayType m_Sigma
 
unsigned long m_Stride [ImageDimension]
 
OutputImagePixelType m_Threshold
 
OutputImageType::Pointer m_UpdateBuffer1
 
OutputImagePixelType m_UpperThreshold
 
DerivativeOperator
< OutputImagePixelType,
itkGetStaticConstMacro(ImageDimension)> 
m_ComputeCannyEdge1stDerivativeOper
 
DerivativeOperator
< OutputImagePixelType,
itkGetStaticConstMacro(ImageDimension)> 
m_ComputeCannyEdge2ndDerivativeOper
 

Additional Inherited Members

- Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const
ImageRegionSplitterBase
GetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)
 
- Protected Attributes inherited from itk::ProcessObject
TimeStamp m_OutputInformationMTime
 
bool m_Updating
 
- Protected Attributes inherited from itk::LightObject
InternalReferenceCountType m_ReferenceCount
 
SimpleFastMutexLock m_ReferenceCountLock
 

Member Typedef Documentation

template<class TInputImage , class TOutputImage >
typedef FixedArray<double, itkGetStaticConstMacro(ImageDimension)> itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ArrayType

Typedef of double containers

Definition at line 151 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef SmartPointer<const Self> itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer

The default boundary condition is used unless overridden in the Evaluate() method.

Definition at line 121 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TInputImage::IndexType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::IndexType
template<class TInputImage , class TOutputImage >
typedef TInputImage::PixelType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImagePixelType

Define pixel types.

Definition at line 109 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TInputImage itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType

Image typedef support

Definition at line 101 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef ObjectStore<ListNodeType> itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ListNodeStorageType
template<class TInputImage , class TOutputImage >
typedef ListNode<IndexType> itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ListNodeType
template<class TInputImage , class TOutputImage >
typedef ListType::Pointer itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ListPointerType
template<class TInputImage , class TOutputImage >
typedef SparseFieldLayer<ListNodeType> itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ListType
template<class TInputImage , class TOutputImage >
typedef MultiplyImageFilter< OutputImageType, OutputImageType, OutputImageType> itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::MultiplyImageFilterType
protected

The type of data structure that is passed to this function object to evaluate at a pixel that does not lie on a data set boundary.

Definition at line 127 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TOutputImage::PixelType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePixelType
template<class TInputImage , class TOutputImage >
typedef TOutputImage::RegionType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageRegionType

Typedef to describe the output image region type.

Definition at line 135 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TOutputImage itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType
template<class TInputImage , class TOutputImage >
typedef SmartPointer<Self> itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer

SmartPointer typedef support

Definition at line 105 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef GaussianImageFilterType::ScalarRealType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ScalarRealType
template<class TInputImage , class TOutputImage >
typedef CannyEdgeDetectionRecursiveGaussianImageFilter itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self

Standard "Self" & Superclass typedef.

Definition at line 97 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef GaussianImageFilterType::SigmaArrayType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SigmaArrayType
template<class TInputImage , class TOutputImage >
typedef ImageToImageFilter<TInputImage, TOutputImage> itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass

Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage >
itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CannyEdgeDetectionRecursiveGaussianImageFilter ( )
protected

End concept checking

template<class TInputImage , class TOutputImage >
itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CannyEdgeDetectionRecursiveGaussianImageFilter ( const Self )
inlineprotected
template<class TInputImage , class TOutputImage >
virtual itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~CannyEdgeDetectionRecursiveGaussianImageFilter ( )
inlineprivatevirtual

Member Function Documentation

template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::AllocateUpdateBuffer ( )
private

This allocate storage for m_UpdateBuffer, m_UpdateBuffer1

template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Compute2ndDerivative ( )
private

Calculate the second derivative of the smoothed image, it writes the result to m_UpdateBuffer using the ThreadedCompute2ndDerivative() method and multithreading mechanism.

template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Compute2ndDerivativePos ( )
private

Calculate the gradient of the second derivative of the smoothed image, it writes the result to m_UpdateBuffer1 using the ThreadedCompute2ndDerivativePos() method and multithreading mechanism.

template<class TInputImage , class TOutputImage >
static ITK_THREAD_RETURN_TYPE itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Compute2ndDerivativePosThreaderCallback ( void *  arg)
staticprivate

This callback method uses ImageSource::SplitRequestedRegion to acquire an output region that it passes to ThreadedCompute2ndDerivative for processing.

template<class TInputImage , class TOutputImage >
static ITK_THREAD_RETURN_TYPE itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Compute2ndDerivativeThreaderCallback ( void *  arg)
staticprivate

This callback method uses ImageSource::SplitRequestedRegion to acquire an output region that it passes to ThreadedCompute2ndDerivative for processing.

template<class TInputImage , class TOutputImage >
OutputImagePixelType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ComputeCannyEdge ( const NeighborhoodType it,
void *  globalData 
)
private

This methos is used to calculate the 2nd derivative for non-boundary pixels. It is called by the ThreadedCompute2ndDerivative method.

template<class TInputImage , class TOutputImage >
virtual::itk::LightObject::Pointer itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CreateAnother ( void  ) const
virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::FollowEdge ( IndexType  index)
private

Edge linking funciton

template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateData ( )
protectedvirtual

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.

See Also
ThreadedGenerateData()

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputImage , class TOutputImage >
virtual void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( )
throw (InvalidRequestedRegionError
)
virtual

CannyEdgeDetectionRecursiveGaussianImageFilter needs a larger input requested region than the output requested region ( derivative operators, etc). As such, CannyEdgeDetectionRecursiveGaussianImageFilter needs to provide an implementation for GenerateInputRequestedRegion() in order to inform the pipeline execution model.

See Also
ImageToImageFilter::GenerateInputRequestedRegion()

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
virtual OutputImagePixelType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetLowerThreshold ( )
virtual
template<class TInputImage , class TOutputImage >
virtual const char* itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
OutputImageType* itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNonMaximumSuppressionImage ( ) const
inline
template<class TInputImage , class TOutputImage >
virtual OutputImagePixelType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetOutsideValue ( )
virtual
template<class TInputImage , class TOutputImage >
ScalarRealType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigma ( ) const

Smoothing parameters for the Gaussian filter.

template<class TInputImage , class TOutputImage >
SigmaArrayType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigmaArray ( ) const

Smoothing parameters for the Gaussian filter.

template<class TInputImage , class TOutputImage >
OutputImagePixelType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetThreshold ( OutputImagePixelType  )
inline
template<class TInputImage , class TOutputImage >
virtual OutputImagePixelType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetUpperThreshold ( )
virtual
template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::HysteresisThresholding ( )
private

Implement hysteresis thresholding

template<class TInputImage , class TOutputImage >
bool itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InBounds ( IndexType  index)
private

Check if the index is in bounds or not

template<class TInputImage , class TOutputImage >
static Pointer itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::New ( )
static

Method for creation through the object factory.

template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
virtual void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetLowerThreshold ( OutputImagePixelType  _arg)
virtual
template<class TInputImage , class TOutputImage >
virtual void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetOutsideValue ( OutputImagePixelType  _arg)
virtual
template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma ( ScalarRealType  sigma)

Smoothing parameters for the Gaussian filter.

template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigmaArray ( const SigmaArrayType sigmas)

Smoothing parameters for the Gaussian filter.

template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetThreshold ( const OutputImagePixelType  th)
inline
template<class TInputImage , class TOutputImage >
virtual void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetUpperThreshold ( OutputImagePixelType  _arg)
virtual
  • Set the Threshold value for detected edges. */
template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ThreadedCompute2ndDerivative ( const OutputImageRegionType outputRegionForThread,
int  threadId 
)
private

Split the input into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times to return non-overlapping regions. The method returns the number of pieces that the input can be split into by the routine. i.e. return value is less than or equal to "num".

See Also
ImageSourceDoes the actual work of calculating of the 2nd derivative over a region supplied by the multithreading mechanism.
Compute2ndDerivative
Compute2ndDerivativeThreaderCallBack
template<class TInputImage , class TOutputImage >
void itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ThreadedCompute2ndDerivativePos ( const OutputImageRegionType outputRegionForThread,
int  threadId 
)
private

Does the actual work of calculating of the 2nd derivative over a region supplied by the multithreading mechanism.

See Also
Compute2ndDerivativePos
Compute3ndDerivativePosThreaderCallBack
template<class TInputImage , class TOutputImage >
itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::typedef ( Concept::HasNumericTraits< InputImagePixelType )

Begin concept checking This class requires InputHasNumericTraitsCheck in the form of (Concept::HasNumericTraits<InputImagePixelType>)

template<class TInputImage , class TOutputImage >
itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::typedef ( Concept::HasNumericTraits< OutputImagePixelType )

This class requires OutputHasNumericTraitsCheck in the form of (Concept::HasNumericTraits<OutputImagePixelType>)

template<class TInputImage , class TOutputImage >
itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::typedef ( Concept::SameDimension< ImageDimension, OutputImageDimension )

This class requires SameDimensionCheck in the form of (Concept::SameDimension<ImageDimension, OutputImageDimension>)

template<class TInputImage , class TOutputImage >
itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::typedef ( Concept::IsFloatingPoint< InputImagePixelType )

This class requires InputIsFloatingPointCheck in the form of (Concept::IsFloatingPoint<InputImagePixelType>)

template<class TInputImage , class TOutputImage >
itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::typedef ( Concept::IsFloatingPoint< OutputImagePixelType )

This class requires OutputIsFloatingPointCheck in the form of (Concept::IsFloatingPoint<OutputImagePixelType>)

Member Data Documentation

template<class TInputImage , class TOutputImage >
const unsigned int itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ImageDimension = TInputImage::ImageDimension
static

ImageDimension constant

Definition at line 145 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
unsigned long itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_Center
private
template<class TInputImage , class TOutputImage >
DerivativeOperator<OutputImagePixelType,itkGetStaticConstMacro(ImageDimension)> itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_ComputeCannyEdge1stDerivativeOper
private

Function objects that are used in the inner loops of derivatiVex calculations.

Definition at line 336 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
DerivativeOperator<OutputImagePixelType,itkGetStaticConstMacro(ImageDimension)> itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_ComputeCannyEdge2ndDerivativeOper
private

Function objects that are used in the inner loops of derivatiVex calculations.

Definition at line 338 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
std::slice itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_ComputeCannyEdgeSlice[ImageDimension]
private
template<class TInputImage , class TOutputImage >
GaussianImageFilterType::Pointer itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_GaussianFilter
private

Gaussian filter to smooth the input image

Definition at line 327 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
OutputImagePixelType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_LowerThreshold
private

Lower threshold value for identifying edges.

Definition at line 315 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
ArrayType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_MaximumError
private

The maximum error of the gaussian blurring kernel in each dimensional direction.

Definition at line 309 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
MultiplyImageFilterType::Pointer itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_MultiplyImageFilter
private

Multiply image filter to multiply with the zero crossings of the second derivative.

Definition at line 331 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
ListPointerType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_NodeList
private
template<class TInputImage , class TOutputImage >
ListNodeStorageType::Pointer itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_NodeStore
private
template<class TInputImage , class TOutputImage >
OutputImagePixelType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_OutsideValue
private

"Background" value for use in thresholding.

Definition at line 321 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
SigmaArrayType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_Sigma
private

Standard deviation of the gaussian used for smoothing

Definition at line 305 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
unsigned long itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_Stride[ImageDimension]
private
template<class TInputImage , class TOutputImage >
OutputImagePixelType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_Threshold
private

Threshold value for identifying edges.

Definition at line 318 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
OutputImageType::Pointer itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_UpdateBuffer1
private

Update buffers used during calculation of multiple steps

Definition at line 324 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
OutputImagePixelType itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_UpperThreshold
private

Upper threshold value for identifying edges.

Definition at line 312 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
const unsigned int itk::CannyEdgeDetectionRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageDimension = TOutputImage::ImageDimension
static

ImageDimension constant

Definition at line 147 of file itkCannyEdgeDetectionRecursiveGaussianImageFilter.h.


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