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itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage > Class Template Reference
[Region Growing Filters]

#include <itkIsolatedConnectedImageFilter.h>

Inheritance diagram for itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >:

[legend]Collaboration diagram for itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >:

[legend]List of all members.

Detailed Description

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

Label pixels that are connected to one set of seeds but not another.

/class IsolatedConnectedImageFilter IsolatedConnectedImageFilter finds the optimal threshold to separate two regions. It has two modes, one to separate dark regions surrounded by bright regions by automatically finding a minimum isolating upper threshold, and another to separate bright regions surrounded by dark regions by automatically finding a maximum lower isolating threshold. The mode can be chosen by setting FindUpperThresholdOn()/Off(). In both cases, the isolating threshold is retrieved with GetIsolatedValue().

The algorithm labels pixels with ReplaceValue that are connected to Seeds1 AND NOT connected to Seeds2. When finding the threshold to separate two dark regions surrounded by bright regions, given a fixed lower threshold, the filter adjusts the upper threshold until the two sets of seeds are not connected. The algorithm uses a binary search to adjust the upper threshold, starting at Upper. The reverse is true for finding the threshold to separate two bright regions. Lower defaults to the smallest possible value for the InputImagePixelType, and Upper defaults to the largest possible value for the InputImagePixelType.

The user can also supply the Lower and Upper values to restrict the search. However, if the range is too restrictive, it could happen that no isolating threshold can be found between the user specified Lower and Upper values. Therefore, unless the user is sure of the bounds to set, it is recommended that the user set these values to the lowest and highest intensity values in the image, respectively.

The user can specify more than one seed for both regions to separate. The algorithm will try find the threshold that ensures that all of the first seeds are contained in the resulting segmentation and all of the second seeds are not contained in the segmentation.

It is possible that the algorithm may not be able to find the isolating threshold because no such threshold exists. The user can check for this by querying the GetThresholdingFailed() flag.

Definition at line 70 of file itkIsolatedConnectedImageFilter.h.

Public Types

typedef SmartPointer< const
Self > ConstPointer

typedef DataObject::Pointer DataObjectPointer

typedef std::vector< DataObjectPointer > DataObjectPointerArray

typedef InputImageType::IndexType IndexType

typedef InputImageType::ConstPointer InputImageConstPointer

typedef InputImageType::PixelType InputImagePixelType

typedef InputImageType::Pointer InputImagePointer

typedef InputImageType::RegionType InputImageRegionType

typedef TInputImage InputImageType

typedef NumericTraits< InputImagePixelType
>::RealType InputRealType

typedef OutputImageType::PixelType OutputImagePixelType

typedef OutputImageType::Pointer OutputImagePointer

typedef OutputImageType::RegionType OutputImageRegionType

typedef TOutputImage OutputImageType

typedef SmartPointer< Self > Pointer

typedef std::vector< IndexType > SeedsContainerType

typedef IsolatedConnectedImageFilter Self

typedef InputImageType::SizeType SizeType

typedef ImageToImageFilter<
TInputImage, TOutputImage > Superclass

Public Member Functions

virtual void AbortGenerateDataOff ()

virtual void AbortGenerateDataOn ()

Set seed point This seed will
be isolated from please use AddSeed ()*/void SetSeed2(const IndexType &seed)

Set seed point This seed will
be isolated from please use AddSeed ()*/void SetSeed1(const IndexType &seed)

Add seed point *void AddSeed1 (const IndexType &seed)

Add seed point *void AddSeed2 (const IndexType &seed)

Clear all the seeds1 *void ClearSeeds1 ()

Clear all the seeds2 *void ClearSeeds2 ()

virtual LightObject::Pointer CreateAnother () const

virtual void DebugOff () const

virtual void DebugOn () const

virtual void Delete ()

virtual void FindUpperThresholdOff ()

virtual void FindUpperThresholdOn ()

virtual const bool & GetAbortGenerateData ()

Command * GetCommand (unsigned long tag)

bool GetDebug () const

virtual const bool & GetFindUpperThreshold ()

const InputImageType * GetInput (unsigned int idx)

const InputImageType * GetInput (void)

DataObjectPointerArray & GetInputs ()

virtual const InputImagePixelType & GetIsolatedValue ()

virtual const InputImagePixelType & GetIsolatedValueTolerance ()

virtual const InputImagePixelType & GetLower ()

const MetaDataDictionary & GetMetaDataDictionary (void) const

MetaDataDictionary & GetMetaDataDictionary (void)

virtual unsigned long GetMTime () const

MultiThreader * GetMultiThreader ()

virtual const char * GetNameOfClass () const

std::vector< DataObjectPointer
>::size_type GetNumberOfInputs () const

std::vector< DataObjectPointer
>::size_type GetNumberOfOutputs () const

virtual const int & GetNumberOfThreads ()

virtual std::vector< DataObjectPointer
>::size_type GetNumberOfValidRequiredInputs () const

OutputImageType * GetOutput (unsigned int idx)

Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have and both
*methods update the data Here
are three ways to use * GetOutput () and make sure the data is valid.In these *examples

Return an array with all the
outputs of this process object
*This is useful for tracing
forward in the pipeline to
contruct *graphs etc *DataObjectPointerArray & GetOutputs ()

virtual const float & GetProgress ()

virtual int GetReferenceCount () const

virtual const bool & GetReleaseDataBeforeUpdateFlag ()

virtual bool GetReleaseDataFlag () const

virtual const OutputImagePixelType & GetReplaceValue ()

virtual const bool & GetThresholdingFailed ()

virtual const InputImagePixelType & GetUpper ()

InputImagePixelType GetUpperValueLimit ()

virtual void GraftNthOutput (unsigned int idx, DataObject *output)

virtual void GraftOutput (DataObject *output)

bool HasObserver (const EventObject &event) const

Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have and both
*methods update the data Here
are three ways to use *a image
is a pointer to some Image
and the *particular ProcessObjects
involved are filters The same
*examples apply to non image (e.g.Mesh) data as well.**\code *anotherFilter->SetInput(someFilter->GetOutput())

void InvokeEvent (const EventObject &) const

void InvokeEvent (const EventObject &)

itkStaticConstMacro (OutputImageDimension, unsigned int, TOutputImage::ImageDimension)

ImageDimension constants * itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension)

virtual DataObjectPointer MakeOutput (unsigned int idx)

Set Get the limit on the upper
threshold value The default
is the max () for the InputPixelType.These methods have been deprecated.Please use Set/Get Upper instead.*/void SetUpperValueLimit(InputImagePixelType upperValue)

Set Get the limit on the upper
threshold value The default
is the max () for the InputPixelType.*/virtual void SetUpper(InputImagePixelType _arg)

virtual void Modified () const

Set Get the limit on the lower
threshold value The default
is the NonpositiveMin () for the InputPixelType.*/virtual void SetLower(InputImagePixelType _arg)

virtual void PopBackInput ()

virtual void PopFrontInput ()

virtual void PrepareOutputs ()

void Print (std::ostream &os, Indent indent=0) const

void PrintSelf (std::ostream &os, Indent indent) const

virtual void PropagateRequestedRegion (DataObject *output)

Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on the application
can accomplish this by popping
*an input off the front of
the input list and push a
new image *onto the back of
input list this only makes
sense for *filters that single
type of input **Other uses
are also possible For a single
input pushing *and popping
inputs allow the application
to temporarily replace *an
input to a filter **virtual
void PushBackInput (const InputImageType *image)

virtual void PushFrontInput (const InputImageType *image)

virtual void Register () const

virtual void ReleaseDataBeforeUpdateFlagOff ()

virtual void ReleaseDataBeforeUpdateFlagOn ()

void ReleaseDataFlagOff ()

void ReleaseDataFlagOn ()

void RemoveAllObservers ()

void RemoveObserver (unsigned long tag)

virtual void ResetPipeline ()

Set seed point This seed will
be isolated from Seed1 (if possible).*This method is deprecated

Set seed point This seed will
be isolated from Seed2 (if possible).*All pixels connected to this seed will be replaced with ReplaceValue.*This method is deprecated

virtual void SetAbortGenerateData (bool _arg)

void SetDebug (bool debugFlag) const

virtual void SetInput (unsigned int, const TInputImage *image)

Set Get the image input of
this process object *virtual
void SetInput (const InputImageType *image)

Set Get the precision required
for the intensity threshold
value The default is *virtual
void SetIsolatedValueTolerance (InputImagePixelType _arg)

void SetMetaDataDictionary (const MetaDataDictionary &rhs)

Get Set the number of threads
to create when executing
*virtual void SetNumberOfThreads (int _arg)

virtual void SetProgress (float _arg)

virtual void SetReferenceCount (int)

Turn on off the flags to control
whether the bulk data belonging
*to the outputs of this ProcessObject
are released after being
*used by a downstream ProcessObject
Default value is off Another
*options for controlling memory
utilization is the *ReleaseDataBeforeUpdateFlag
*virtual void SetReleaseDataFlag (bool flag)

Set Get value to replace thresholded
pixels Pixels that lie *within
the thresholds will be replaced
with this value The *default
is *virtual void SetReplaceValue (OutputImagePixelType _arg)

Set Get whether to find an
upper threshold (separating two dark *regions) or a lower threshold(separating two bright regions).*/virtual void SetFindUpperThreshold(bool _arg)

virtual void UnRegister () const

*endcode *In the above the
two lines of code can be in
*either order **Note that
it may be more efficient to
*use a pipeline than to call Update () once for each filter in *turn.**For an image

*endcode *In the above the
two lines of code can be in
*either order **Note that Update () is not called automatically except within a *pipeline as in the first example.When\b streaming(using a *StreamingImageFilter) is activated

*endcode **code *someFilter Update ()

*image Update ()

*anotherFilter Update ()

Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have Update () methods

Get the output data of this
process object The output
of this *function is not valid
until an appropriate Update () method has *been called

virtual void UpdateLargestPossibleRegion ()

virtual void UpdateOutputData (DataObject *output)

virtual void UpdateOutputInformation ()

void UpdateProgress (float amount)

Static Public Member Functions

static void BreakOnError ()

static bool GetGlobalWarningDisplay ()

static void GlobalWarningDisplayOff ()

static void GlobalWarningDisplayOn ()

static Pointer New ()

This is a global flag that
controls whether any warning
*or error messages are displayed
*static void SetGlobalWarningDisplay (bool flag)

Public Attributes

Allow people to add remove
invoke observers(callbacks)
to any ITK *object.This is
an implementation of the subject/observer design *pattern.An
observer is added by specifying
an event to respond to *and
an itk unsigned lon AddObserver )(const EventObject &event, Command *) const

Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on the application
can accomplish this by popping
*an input off the front of
the input list and push a
new image *onto the back of
input list Again

This is a global flag that
controls whether any debug

*endcode *In the above example

Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on the application
can accomplish this by popping
*an input off the front of
the input list and push a
new image *onto the back of
input list this only makes
sense for *filters that single
type of input **Other uses
are also possible For a single
input filter

Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all filters

* image = someFilter->GetOutput()

*endcode **In this a someFilter
and a anotherFilter are said
*to constitute a b pipeline
**code * image = someFilter->GetOutput()

Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on then run the
filter on * images

Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on then *run
the filter on images

Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For if an application
has *images and they need
to run a filter on images

Push Pop the input of this
process object These methods
allow a *filter to model its
input vector as a queue or
stack These *routines may
not be appropriate for all
especially *filters with different
types of inputs These routines
follow *the semantics of STL
**The routines are useful
for applications that need
to process *rolling sets of
images For instance

Get the output data of this
process object The output
of this *function is not valid
until an appropriate either
explicitly or implicitly Both
the filter *itself and the
data object have and both
*methods update the data Here
are three ways to use *a image
is a pointer to some Image object

*endcode *In the above the
two lines of code can be in
*either order **Note that
it may be more efficient to
*use a pipeline than to call
the data generated is for
the requested * Region

*endcode **In this situation

Protected Types

typedef ImageToImageFilterDetail::ImageRegionCopier<
itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension) InputToOutputRegionCopierType )

typedef ImageToImageFilterDetail::ImageRegionCopier<
itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension) OutputToInputRegionCopierType )

Protected Member Functions

virtual void AddInput (DataObject *input)

virtual void AddOutput (DataObject *output)

virtual void AfterThreadedGenerateData ()

virtual void AllocateOutputs ()

virtual void BeforeThreadedGenerateData ()

virtual void CacheInputReleaseDataFlags ()

virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)

virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)

void EnlargeOutputRequestedRegion (DataObject *output)

void GenerateData ()

void GenerateInputRequestedRegion ()

virtual void GenerateOutputInformation ()

virtual void GenerateOutputRequestedRegion (DataObject *output)

const DataObject * GetInput (unsigned int idx) const

virtual const unsigned int & GetNumberOfRequiredInputs ()

virtual const unsigned int & GetNumberOfRequiredOutputs ()

const DataObject * GetOutput (unsigned int idx) const

ImageToImageFilter ()

IsolatedConnectedImageFilter ()

bool PrintObservers (std::ostream &os, Indent indent) const

virtual void PrintTrailer (std::ostream &os, Indent indent) const

virtual void PropagateResetPipeline ()

**these methods end of hiding
the versions from the superclass
*ProcessObject whose arguments
are DataObjects we re expose
*the versions from ProcessObject
to avoid warnings about hiding
*methods from the superclass
*void PushBackInput (const DataObject *input)

* PushBackInput ()

* PushFronInput () in the public section force the *input to be the type expected by an ImageToImageFilter.However

void PushFrontInput (const DataObject *input)

virtual void ReleaseInputs ()

virtual void RemoveInput (DataObject *input)

virtual void RemoveOutput (DataObject *output)

virtual void RestoreInputReleaseDataFlags ()

Protected methods for setting
inputs *Subclasses make use
of them for setting input
*virtual void SetNthInput (unsigned int num, DataObject *input)

Protected methods for setting
outputs *Subclasses make use
of them for getting output
*virtual void SetNthOutput (unsigned int num, DataObject *output)

void SetNumberOfInputs (unsigned int num)

void SetNumberOfOutputs (unsigned int num)

virtual void SetNumberOfRequiredInputs (unsigned int _arg)

virtual void SetNumberOfRequiredOutputs (unsigned int _arg)

virtual int SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)

virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)

~IsolatedConnectedImageFilter ()

Static Protected Member Functions

static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)

Protected Attributes

**these methods end of hiding
the versions from the superclass
*ProcessObject whose arguments
are DataObjects Here

bool m_FindUpperThreshold

InputImagePixelType m_IsolatedValue

InputImagePixelType m_IsolatedValueTolerance

InputImagePixelType m_Lower

TimeStamp m_OutputInformationMTime

int m_ReferenceCount

SimpleFastMutexLock m_ReferenceCountLock

OutputImagePixelType m_ReplaceValue

SeedsContainerType m_Seeds1

SeedsContainerType m_Seeds2

bool m_ThresholdingFailed

bool m_Updating

InputImagePixelType m_Upper

Methods invoked by virtual
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.*/virtual
void PrintSelf(std voi PrintHeader )(std::ostream &os, Indent indent) const

Member Typedef Documentation

template<class TInputImage, class TOutputImage>

typedef SmartPointer<const Self> itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::ConstPointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 79 of file itkIsolatedConnectedImageFilter.h.

template<class TOutputImage>

typedef DataObject::Pointer itk::ImageSource< TOutputImage >::DataObjectPointer [inherited]

Smart Pointer type to a DataObject.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::StatisticsImageFilter< TInputImage >, and itk::StreamingImageFilter< TInputImage, TOutputImage >.
Definition at line 62 of file itkImageSource.h.

typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray [inherited]

STL Array of SmartPointers to DataObjects
Definition at line 103 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage>

typedef InputImageType::IndexType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::IndexType

Definition at line 93 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef InputImageType::ConstPointer itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::InputImageConstPointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 90 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef InputImageType::PixelType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::InputImagePixelType

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 92 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef InputImageType::Pointer itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::InputImagePointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 89 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef InputImageType::RegionType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::InputImageRegionType

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 91 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef TInputImage itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::InputImageType

Some convenient typedefs.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 86 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef NumericTraits< InputImagePixelType >::RealType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::InputRealType

Definition at line 104 of file itkIsolatedConnectedImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) itk::ImageToImageFilter< TInputImage , TOutputImage >::InputToOutputRegionCopierType) [protected, inherited]

Typedef for the region copier function object that converts an input region to an output region.
Definition at line 163 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef OutputImageType::PixelType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::OutputImagePixelType

Reimplemented from itk::ImageSource< TOutputImage >.
Definition at line 99 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef OutputImageType::Pointer itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::OutputImagePointer

Reimplemented from itk::ImageSource< TOutputImage >.
Definition at line 97 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef OutputImageType::RegionType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::OutputImageRegionType

Superclass typedefs.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 98 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef TOutputImage itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::OutputImageType

Some convenient typedefs.
Reimplemented from itk::ImageSource< TOutputImage >.
Definition at line 96 of file itkIsolatedConnectedImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) itk::ImageToImageFilter< TInputImage , TOutputImage >::OutputToInputRegionCopierType) [protected, inherited]

Typedef for the region copier function object that converts an output region to an input region.
Definition at line 168 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef SmartPointer<Self> itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::Pointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 78 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef std::vector< IndexType > itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::SeedsContainerType

Definition at line 101 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef IsolatedConnectedImageFilter itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 76 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef InputImageType::SizeType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::SizeType

Definition at line 94 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef ImageToImageFilter<TInputImage,TOutputImage> itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::Superclass

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 77 of file itkIsolatedConnectedImageFilter.h.

Constructor & Destructor Documentation

template<class TInputImage, class TOutputImage>

itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::IsolatedConnectedImageFilter ( ) [protected]

template<class TInputImage, class TOutputImage>

itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::~IsolatedConnectedImageFilter ( ) [inline, protected]

Definition at line 221 of file itkIsolatedConnectedImageFilter.h.

Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff ( ) [virtual, inherited]

virtual void itk::ProcessObject::AbortGenerateDataOn ( ) [virtual, inherited]

Turn on and off the AbortGenerateData flag.

virtual void itk::ProcessObject::AddInput ( DataObject * input ) [protected, virtual, inherited]

virtual void itk::ProcessObject::AddOutput ( DataObject * output ) [protected, virtual, inherited]

template<class TInputImage, class TOutputImage>

Set seed point This seed will be isolated from please use itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::AddSeed ( ) const [inline]

Definition at line 137 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

Add seed point* void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::AddSeed1 ( const IndexType & seed ) [inline]

Definition at line 129 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

Add seed point* void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::AddSeed2 ( const IndexType & seed ) [inline]

Definition at line 155 of file itkIsolatedConnectedImageFilter.h.

static void itk::LightObject::BreakOnError ( ) [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

virtual void itk::ProcessObject::CacheInputReleaseDataFlags ( ) [protected, virtual, inherited]

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::CallCopyInputRegionToOutputRegion ( OutputImageRegionType & destRegion,

const InputImageRegionType & srcRegion

) [protected, virtual, inherited]

This function calls the actual region copier to do the mapping from input image space to output image space. It uses a Function object used for dispatching to various routines to copy an input region (start index and size) to an output region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::UnaryFunctorImageFilter can support output images of a higher dimension that the input.
This function object is used by the default implementation of GenerateOutputInformation(). It can also be used in routines like ThreadedGenerateData() where a filter may need to map an input region to an output region.
The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.
For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the first portion of the input region is copied to the output region. If the input region is a lower dimension than the output, the input region information is copied into the first portion of the output region and the rest of the output region is set to zero.
If a filter needs a different default behavior, it can override this method.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::CallCopyOutputRegionToInputRegion ( InputImageRegionType & destRegion,

const OutputImageRegionType & srcRegion

) [protected, virtual, inherited]

This function calls the actual region copier to do the mapping from output image space to input image space. It uses a Function object used for dispatching to various routines to copy an output region (start index and size) to an input region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::ExtractImageFilter can support output images of a lower dimension that the input.
This function object can be used by GenerateOutputInformation() to copy the input LargestPossibleRegion to the output LargestPossibleRegion and can also be used in GenerateData or ThreadedGenerateData() where a filter may need to map an output region to an input region.
The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.
For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the output region information is copied into the first portion of the input region and the rest of the input region is set to zero. If the input region is a lower dimension than the output, the first portion of the output region is copied to the input region.
If a filter needs a different default behavior, it can override this method. The ExtractImageFilter overrides this function object so that if the input image is a higher dimension than the output image, the filter can control "where" in the input image the output subimage is extracted (as opposed to mapping to first few dimensions of the input).
Reimplemented in itk::ExtractImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage>

Clear all the seeds1* void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::ClearSeeds1 ( ) [inline]

Definition at line 121 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

Clear all the seeds2* void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::ClearSeeds2 ( ) [inline]

Definition at line 147 of file itkIsolatedConnectedImageFilter.h.

virtual LightObject::Pointer itk::Object::CreateAnother ( ) const [virtual, inherited]

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::LightObject.

virtual void itk::Object::DebugOff ( ) const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn ( ) const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete ( ) [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

template<class TInputImage, class TOutputImage>

void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::EnlargeOutputRequestedRegion ( DataObject * output ) [protected, virtual]

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.
Reimplemented from itk::ProcessObject.

template<class TInputImage, class TOutputImage>

virtual void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::FindUpperThresholdOff ( ) [virtual]

template<class TInputImage, class TOutputImage>

virtual void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::FindUpperThresholdOn ( ) [virtual]

template<class TInputImage, class TOutputImage>

void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::GenerateData ( ) [protected, virtual]

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>

void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( ) [protected, virtual]

What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierachy. Up till now, the base assumption has been that the largest possible region will be requested of the input.
This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types.

See also:
ProcessObject::GenerateInputRequestedRegion(), ImageSource::GenerateInputRequestedRegion()

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

virtual void itk::ProcessObject::GenerateOutputRequestedRegion ( DataObject * output ) [protected, virtual, inherited]

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.
Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.
Reimplemented in itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, and itk::watershed::SegmentTreeGenerator< ScalarType >.

virtual const bool& itk::ProcessObject::GetAbortGenerateData ( ) [virtual, inherited]

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

Command* itk::Object::GetCommand ( unsigned long tag ) [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

bool itk::Object::GetDebug ( ) const [inherited]

Get the value of the debug flag.

template<class TInputImage, class TOutputImage>

virtual const bool& itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::GetFindUpperThreshold ( ) [virtual]

static bool itk::Object::GetGlobalWarningDisplay ( ) [static, inherited]

const DataObject* itk::ProcessObject::GetInput ( unsigned int idx ) const [protected, inherited]

const InputImageType* itk::ImageToImageFilter< TInputImage , TOutputImage >::GetInput ( unsigned int idx ) [inherited]

Reimplemented from itk::ProcessObject.

const InputImageType* itk::ImageToImageFilter< TInputImage , TOutputImage >::GetInput ( void ) [inherited]

DataObjectPointerArray& itk::ProcessObject::GetInputs ( ) [inline, inherited]

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.
Definition at line 108 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage>

virtual const InputImagePixelType& itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::GetIsolatedValue ( ) [virtual]

Get value that isolates the two seeds.

template<class TInputImage, class TOutputImage>

virtual const InputImagePixelType& itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::GetIsolatedValueTolerance ( ) [virtual]

template<class TInputImage, class TOutputImage>

virtual const InputImagePixelType& itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::GetLower ( ) [virtual]

const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) const [inherited]

Returns:
A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) [inherited]

Returns:
A reference to this objects MetaDataDictionary.

Warning:
This reference may be changed.

virtual unsigned long itk::Object::GetMTime ( ) const [virtual, inherited]

Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::SceneSpatialObject< SpaceDimension >, and itk::SceneSpatialObject< NDimensions >.

MultiThreader* itk::ProcessObject::GetMultiThreader ( ) [inline, inherited]

Return the multithreader used by this class.
Definition at line 281 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage>

virtual const char* itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods).
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

std::vector<DataObjectPointer>::size_type itk::ProcessObject::GetNumberOfInputs ( ) const [inline, inherited]

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.
Definition at line 115 of file itkProcessObject.h.

std::vector<DataObjectPointer>::size_type itk::ProcessObject::GetNumberOfOutputs ( ) const [inline, inherited]

Definition at line 132 of file itkProcessObject.h.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs ( ) [protected, virtual, inherited]

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs ( ) [protected, virtual, inherited]

virtual const int& itk::ProcessObject::GetNumberOfThreads ( ) [virtual, inherited]

virtual std::vector<DataObjectPointer>::size_type itk::ProcessObject::GetNumberOfValidRequiredInputs ( ) const [virtual, inherited]

Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.
Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

const DataObject* itk::ProcessObject::GetOutput ( unsigned int idx ) const [protected, inherited]

template<class TOutputImage>

OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( unsigned int idx ) [inherited]

Reimplemented from itk::ProcessObject.

template<class TOutputImage>

Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have and both* methods update the data Here are three ways to use* itk::ImageSource< TOutputImage >::GetOutput ( void ) [inherited]

Return an array with all the outputs of this process object* This is useful for tracing forward in the pipeline to contruct* graphs etc* DataObjectPointerArray& itk::ProcessObject::GetOutputs ( ) [inline, inherited]

Definition at line 130 of file itkProcessObject.h.

virtual const float& itk::ProcessObject::GetProgress ( ) [virtual, inherited]

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

virtual int itk::LightObject::GetReferenceCount ( ) const [inline, virtual, inherited]

Gets the reference count on this object.
Definition at line 98 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag ( ) [virtual, inherited]

virtual bool itk::ProcessObject::GetReleaseDataFlag ( ) const [virtual, inherited]

template<class TInputImage, class TOutputImage>

virtual const OutputImagePixelType& itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::GetReplaceValue ( ) [virtual]

template<class TInputImage, class TOutputImage>

virtual const bool& itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::GetThresholdingFailed ( ) [virtual]

Get the flag that tells whether the algorithm failed to find a threshold.

template<class TInputImage, class TOutputImage>

virtual const InputImagePixelType& itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::GetUpper ( ) [virtual]

template<class TInputImage, class TOutputImage>

InputImagePixelType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::GetUpperValueLimit ( ) [inline]

Definition at line 179 of file itkIsolatedConnectedImageFilter.h.

static void itk::Object::GlobalWarningDisplayOff ( ) [inline, static, inherited]

Definition at line 100 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn ( ) [inline, static, inherited]

Definition at line 98 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::GraftNthOutput ( unsigned int idx,

DataObject * output

) [virtual, inherited]

Graft the specified data object onto this ProcessObject's idx'th output. This is the similar to GraftOutput method except is allows you specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfOutputs()). See the GraftOutput for general usage information.

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::GraftOutput ( DataObject * output ) [virtual, inherited]

Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to used as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:

// setup the mini-pipeline to process the input to this filter firstFilterInMiniPipeline->SetInput( this->GetInput() ); // setup the mini-pipeline to calculate the correct regions // and write to the appropriate bulk data block lastFilterInMiniPipeline->GraftOutput( this->GetOutput() ); // execute the mini-pipeline lastFilterInMiniPipeline->Update(); // graft the mini-pipeline output back onto this filter's output. // this is needed to get the appropriate regions passed back. this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );
For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).

bool itk::Object::HasObserver ( const EventObject & event ) const [inherited]

Return true if an observer is registered for this event.

template<class TOutputImage>

Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have and both* methods update the data Here are three ways to use* a image is a pointer to some Image and the* particular ProcessObjects involved are filters The same* examples apply to non itk::ImageSource< TOutputImage >::image ( e.g. Mesh ) [inherited]

itk::ImageToImageFilter< TInputImage , TOutputImage >::ImageToImageFilter ( ) [protected, inherited]

void itk::Object::InvokeEvent ( const EventObject & ) const [inherited]

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

void itk::Object::InvokeEvent ( const EventObject & ) [inherited]

Call Execute on all the Commands observing this event id.

template<class TOutputImage>

virtual DataObjectPointer itk::ImageSource< TOutputImage >::MakeOutput ( unsigned int idx ) [virtual, inherited]

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().
Reimplemented from itk::ProcessObject.
Reimplemented in itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::MinimumMaximumImageFilter< TInputImage >, and itk::StatisticsImageFilter< TInputImage >.

template<class TInputImage, class TOutputImage>

Set Get the limit on the upper threshold value The default is the itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::max ( ) [inline]

Definition at line 173 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

Set Get the limit on the upper threshold value The default is the itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::max ( )

virtual void itk::Object::Modified ( ) const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.
Referenced by itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TInputImage, class TOutputImage>

static Pointer itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::New ( ) [static]

Method for creation through the object factory.
Reimplemented from itk::Object.

template<class TInputImage, class TOutputImage>

Set Get the limit on the lower threshold value The default is the itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::NonpositiveMin ( )

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PopBackInput ( ) [virtual, inherited]

Reimplemented from itk::ProcessObject.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PopFrontInput ( ) [virtual, inherited]

Reimplemented from itk::ProcessObject.

virtual void itk::ProcessObject::PrepareOutputs ( ) [virtual, inherited]

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.
Reimplemented in itk::WatershedImageFilter< TInputImage >.

void itk::LightObject::Print ( std::ostream & os,

Indent indent = 0

) const [inherited]

Cause the object to print itself out.

bool itk::Object::PrintObservers ( std::ostream & os,

Indent indent

) const [protected, inherited]

template<class TInputImage, class TOutputImage>

void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::PrintSelf ( std::ostream & os,

Indent indent

) const [virtual]

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 >.

virtual void itk::LightObject::PrintTrailer ( std::ostream & os,

Indent indent

) const [protected, virtual, inherited]

virtual void itk::ProcessObject::PropagateRequestedRegion ( DataObject * output ) [virtual, inherited]

Send the requested region information back up the pipeline (to the filters that preceed this one).
Reimplemented in itk::VTKImageImport< TOutputImage >.

virtual void itk::ProcessObject::PropagateResetPipeline ( ) [protected, virtual, inherited]

Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

* * these methods end of hiding the versions from the superclass* ProcessObject whose arguments are DataObjects we re expose* the versions from ProcessObject to avoid warnings about hiding* methods from the superclass* void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushBackInput ( const DataObject * input ) [inline, protected, virtual, inherited]

Reimplemented from itk::ProcessObject.
Definition at line 250 of file itkImageToImageFilter.h.

* itk::ImageToImageFilter< TInputImage , TOutputImage >::PushBackInput ( ) [protected, inherited]

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on then run the filter on the application can accomplish this by popping* an input off the front of the input list and push a new image* onto the back of input list this only makes sense for* filters that single type of input* * Other uses are also possible For a single input pushing* and popping inputs allow the application to temporarily replace* an input to a filter** virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushBackInput ( const InputImageType * image ) [virtual, inherited]

* itk::ImageToImageFilter< TInputImage , TOutputImage >::PushFronInput ( ) [protected, inherited]

void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushFrontInput ( const DataObject * input ) [inline, protected, virtual, inherited]

Reimplemented from itk::ProcessObject.
Definition at line 252 of file itkImageToImageFilter.h.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushFrontInput ( const InputImageType * image ) [virtual, inherited]

virtual void itk::Object::Register ( ) const [virtual, inherited]

Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff ( ) [virtual, inherited]

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn ( ) [virtual, inherited]

void itk::ProcessObject::ReleaseDataFlagOff ( ) [inline, inherited]

Definition at line 254 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn ( ) [inline, inherited]

Definition at line 253 of file itkProcessObject.h.

void itk::Object::RemoveAllObservers ( ) [inherited]

Remove all observers .

virtual void itk::ProcessObject::RemoveInput ( DataObject * input ) [protected, virtual, inherited]

void itk::Object::RemoveObserver ( unsigned long tag ) [inherited]

Remove the observer with this tag value.

virtual void itk::ProcessObject::RemoveOutput ( DataObject * output ) [protected, virtual, inherited]

virtual void itk::ProcessObject::ResetPipeline ( ) [virtual, inherited]

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

virtual void itk::ProcessObject::RestoreInputReleaseDataFlags ( ) [protected, virtual, inherited]

Restore the cached input ReleaseDataFlags.

template<class TInputImage, class TOutputImage>

Set seed point This seed will be isolated from itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::Seed1 ( if possible )

template<class TInputImage, class TOutputImage>

Set seed point This seed will be isolated from itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::Seed2 ( if possible )

virtual void itk::ProcessObject::SetAbortGenerateData ( bool _arg ) [virtual, inherited]

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

void itk::Object::SetDebug ( bool debugFlag ) const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

This is a global flag that controls whether any warning* or error messages are displayed* static void itk::Object::SetGlobalWarningDisplay ( bool flag ) [static, inherited]

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::SetInput ( unsigned int,

const TInputImage * image

) [virtual, inherited]

Set Get the image input of this process object* virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::SetInput ( const InputImageType * image ) [virtual, inherited]

template<class TInputImage, class TOutputImage>

Set Get the precision required for the intensity threshold value The default is* virtual void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::SetIsolatedValueTolerance ( InputImagePixelType _arg ) [virtual]

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary & rhs ) [inherited]

Returns:
Set the MetaDataDictionary

Protected methods for setting inputs* Subclasses make use of them for setting input* virtual void itk::ProcessObject::SetNthInput ( unsigned int num,

DataObject * input

) [protected, virtual, inherited]

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryB(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetEquivalencyTable(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::SetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetInputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputSegmentTree(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetReferenceImage(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetReferenceImage(), and itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage().

Protected methods for setting outputs* Subclasses make use of them for getting output* virtual void itk::ProcessObject::SetNthOutput ( unsigned int num,

DataObject * output

) [protected, virtual, inherited]

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::EquivalenceRelabeler(), itk::watershed::Segmenter< TInputImage >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::SetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetOutputImage(), and itk::watershed::Segmenter< TInputImage >::SetSegmentTable().

void itk::ProcessObject::SetNumberOfInputs ( unsigned int num ) [protected, inherited]

Called to allocate the input array. Copies old inputs.

void itk::ProcessObject::SetNumberOfOutputs ( unsigned int num ) [protected, inherited]

Called to allocate the output array. Copies old outputs.

virtual void itk::ProcessObject::SetNumberOfRequiredInputs ( unsigned int _arg ) [protected, virtual, inherited]

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs ( unsigned int _arg ) [protected, virtual, inherited]

Get Set the number of threads to create when executing* virtual void itk::ProcessObject::SetNumberOfThreads ( int _arg ) [virtual, inherited]

virtual void itk::ProcessObject::SetProgress ( float _arg ) [virtual, inherited]

Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.

virtual void itk::Object::SetReferenceCount ( int ) [virtual, inherited]

Sets the reference count (use with care)
Reimplemented from itk::LightObject.

Turn on off the flags to control whether the bulk data belonging* to the outputs of this ProcessObject are released after being* used by a downstream ProcessObject Default value is off Another* options for controlling memory utilization is the* ReleaseDataBeforeUpdateFlag* virtual void itk::ProcessObject::SetReleaseDataFlag ( bool flag ) [virtual, inherited]

template<class TInputImage, class TOutputImage>

Set Get value to replace thresholded pixels Pixels that lie* within the thresholds will be replaced with this value The* default is* virtual void itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::SetReplaceValue ( OutputImagePixelType _arg ) [virtual]

template<class TOutputImage>

virtual int itk::ImageSource< TOutputImage >::SplitRequestedRegion ( int i,

int num,

OutputImageRegionType & splitRegion

) [protected, virtual, inherited]

Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".

template<class TOutputImage>

static ITK_THREAD_RETURN_TYPE itk::ImageSource< TOutputImage >::ThreaderCallback ( void * arg ) [static, protected, inherited]

Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().

template<class TInputImage, class TOutputImage>

Set Get whether to find an upper itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::threshold ( separating two dark * regions )

virtual void itk::Object::UnRegister ( ) const [virtual, inherited]

Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.

template<class TOutputImage>

* endcode* In the above the two lines of code can be in* either order* * Note that it may be more efficient to* use a pipeline than to call itk::ImageSource< TOutputImage >::Update ( ) [virtual, inherited]

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>

* endcode* In the above the two lines of code can be in* either order* * Note that itk::ImageSource< TOutputImage >::Update ( ) [virtual, inherited]

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>

* endcode* * code* someFilter itk::ImageSource< TOutputImage >::Update ( ) [virtual, inherited]

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>

* image itk::ImageSource< TOutputImage >::Update ( ) [virtual, inherited]

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>

* anotherFilter itk::ImageSource< TOutputImage >::Update ( ) [virtual, inherited]

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>

Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have itk::ImageSource< TOutputImage >::Update ( ) [virtual, inherited]

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>

Get the output data of this process object The output of this* function is not valid until an appropriate itk::ImageSource< TOutputImage >::Update ( ) [virtual, inherited]

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.
Reimplemented from itk::ProcessObject.
Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >.

virtual void itk::ProcessObject::UpdateLargestPossibleRegion ( ) [virtual, inherited]

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

virtual void itk::ProcessObject::UpdateOutputData ( DataObject * output ) [virtual, inherited]

Actually generate new output
Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.

virtual void itk::ProcessObject::UpdateOutputInformation ( ) [virtual, inherited]

Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.
Reimplemented in itk::watershed::Segmenter< TInputImage >, and itk::VTKImageImport< TOutputImage >.

void itk::ProcessObject::UpdateProgress ( float amount ) [inherited]

Update the progress of the process object.
Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.

Member Data Documentation

Allow people to add remove invoke observers (callbacks) to any ITK * object. This is an implementation of the subject/observer design * pattern. An observer is added by specifying an event to respond to * and an itk unsigned lon itk::Object::AddObserver)(const EventObject &event, Command *) const [inherited]

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on then run the filter on the application can accomplish this by popping* an input off the front of the input list and push a new image* onto the back of input list itk::ImageToImageFilter< TInputImage , TOutputImage >::Again [inherited]

Definition at line 103 of file itkImageToImageFilter.h.

This is a global flag that controls whether any itk::Object::debug [inherited]

Definition at line 94 of file itkObject.h.

template<class TOutputImage>

* endcode* In the above itk::ImageSource< TOutputImage >::example [inherited]

Reimplemented in itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, and itk::VotingBinaryIterativeHoleFillingImageFilter< TImage >.
Definition at line 100 of file itkImageSource.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* * The routines are useful for applications that need to process* rolling sets of images For if an application has* images and they need to run a filter on then* run the filter on then run the filter on the application can accomplish this by popping* an input off the front of the input list and push a new image* onto the back of input list this only makes sense for* filters that single type of input* * Other uses are also possible For a single input itk::ImageToImageFilter< TInputImage , TOutputImage >::filter [inherited]

Definition at line 103 of file itkImageToImageFilter.h.

Push Pop the input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all itk::ImageToImageFilter< TInputImage , TOutputImage >::filters [inherited]

Reimplemented from itk::ProcessObject.
Definition at line 103 of file itkImageToImageFilter.h.

* * these methods end of hiding the versions from the superclass* ProcessObject whose arguments are DataObjects itk::ImageToImageFilter< TInputImage , TOutputImage >::Here [protected, inherited]

Definition at line 246 of file itkImageToImageFilter.h.

template<class TOutputImage>

* itk::ImageSource< TOutputImage >::image = someFilter->GetOutput() [inherited]

Reimplemented in itk::ExtractImageFilter< TInputImage, TOutputImage >.
Definition at line 98 of file itkImageSource.h.

template<class TOutputImage>

* endcode* * In this a someFilter and a anotherFilter are said* to constitute a b pipeline* * code* itk::ImageSource< TOutputImage >::image = someFilter->GetOutput() [inherited]

Reimplemented in itk::ExtractImageFilter< TInputImage, TOutputImage >.
Definition at line 92 of file itkImageSource.h.

template<class TInputImage, class TOutputImage>

bool itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::m_FindUpperThreshold [protected]

Definition at line 229 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

InputImagePixelType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::m_IsolatedValue [protected]

Definition at line 227 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

InputImagePixelType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::m_IsolatedValueTolerance [protected]

Definition at line 228 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

InputImagePixelType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::m_Lower [protected]

Definition at line 224 of file itkIsolatedConnectedImageFilter.h.

TimeStamp itk::ProcessObject::m_OutputInformationMTime [protected, inherited]

Time when GenerateOutputInformation was last called.
Definition at line 428 of file itkProcessObject.h.

int itk::LightObject::m_ReferenceCount [mutable, protected, inherited]

Number of uses of this object by other objects.
Definition at line 119 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]

Mutex lock to protect modification to the reference count
Definition at line 122 of file itkLightObject.h.

template<class TInputImage, class TOutputImage>

OutputImagePixelType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::m_ReplaceValue [protected]

Definition at line 226 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

SeedsContainerType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::m_Seeds1 [protected]

Definition at line 221 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

SeedsContainerType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::m_Seeds2 [protected]

Definition at line 223 of file itkIsolatedConnectedImageFilter.h.

template<class TInputImage, class TOutputImage>

bool itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::m_ThresholdingFailed [protected]

Definition at line 230 of file itkIsolatedConnectedImageFilter.h.

bool itk::ProcessObject::m_Updating [protected, inherited]

This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.
Definition at line 425 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage>

InputImagePixelType itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >::m_Upper [protected]

Definition at line 225 of file itkIsolatedConnectedImageFilter.h.

template<class TOutputImage>

Get the output data of this process object The output of this* function is not valid until an appropriate either explicitly or implicitly Both the filter* itself and the data object have and both* methods update the data Here are three ways to use* a image is a pointer to some Image itk::ImageSource< TOutputImage >::object [inherited]

Definition at line 79 of file itkImageSource.h.

Methods invoked by virtual 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. */ virtual void PrintSelf(std voi itk::LightObject::PrintHeader)(std::ostream &os, Indent indent) const [protected, inherited]

template<class TOutputImage>

* endcode* In the above the two lines of code can be in* either order* * Note that it may be more efficient to* use a pipeline than to call the data generated is for the requested* itk::ImageSource< TOutputImage >::Region [inherited]

Definition at line 110 of file itkImageSource.h.

template<class TOutputImage>

* endcode* * In this itk::ImageSource< TOutputImage >::situation [inherited]

Definition at line 88 of file itkImageSource.h.

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

itkIsolatedConnectedImageFilter.h

Generated at Sun Jul 9 20:26:12 2006 for ITK by


Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::Pointer	DataObjectPointer
typedef std::vector< DataObjectPointer >	DataObjectPointerArray
typedef InputImageType::IndexType	IndexType
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef InputImageType::PixelType	InputImagePixelType
typedef InputImageType::Pointer	InputImagePointer
typedef InputImageType::RegionType	InputImageRegionType
typedef TInputImage	InputImageType
typedef NumericTraits< InputImagePixelType >::RealType	InputRealType
typedef OutputImageType::PixelType	OutputImagePixelType
typedef OutputImageType::Pointer	OutputImagePointer
typedef OutputImageType::RegionType	OutputImageRegionType
typedef TOutputImage	OutputImageType
typedef SmartPointer< Self >	Pointer
typedef std::vector< IndexType >	SeedsContainerType
typedef IsolatedConnectedImageFilter	Self
typedef InputImageType::SizeType	SizeType
typedef ImageToImageFilter< TInputImage, TOutputImage >	Superclass
Public Member Functions
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
Set seed point This seed will be isolated from please use	AddSeed ()*/void SetSeed2(const IndexType &seed)
Set seed point This seed will be isolated from please use	AddSeed ()*/void SetSeed1(const IndexType &seed)
Add seed point *void	AddSeed1 (const IndexType &seed)
Add seed point *void	AddSeed2 (const IndexType &seed)
Clear all the seeds1 *void	ClearSeeds1 ()
Clear all the seeds2 *void	ClearSeeds2 ()
virtual LightObject::Pointer	CreateAnother () const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
virtual void	FindUpperThresholdOff ()
virtual void	FindUpperThresholdOn ()
virtual const bool &	GetAbortGenerateData ()
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
virtual const bool &	GetFindUpperThreshold ()
const InputImageType *	GetInput (unsigned int idx)
const InputImageType *	GetInput (void)
DataObjectPointerArray &	GetInputs ()
virtual const InputImagePixelType &	GetIsolatedValue ()
virtual const InputImagePixelType &	GetIsolatedValueTolerance ()
virtual const InputImagePixelType &	GetLower ()
const MetaDataDictionary &	GetMetaDataDictionary (void) const
MetaDataDictionary &	GetMetaDataDictionary (void)
virtual unsigned long	GetMTime () const
MultiThreader *	GetMultiThreader ()
virtual const char *	GetNameOfClass () const
std::vector< DataObjectPointer >::size_type	GetNumberOfInputs () const
std::vector< DataObjectPointer >::size_type	GetNumberOfOutputs () const
virtual const int &	GetNumberOfThreads ()
virtual std::vector< DataObjectPointer >::size_type	GetNumberOfValidRequiredInputs () const
OutputImageType *	GetOutput (unsigned int idx)
Get the output data of this process object The output of this function is not valid until an appropriate either explicitly or implicitly Both the filter itself and the data object have and both methods update the data Here are three ways to use	GetOutput () and make sure the data is valid.In these *examples
Return an array with all the outputs of this process object This is useful for tracing forward in the pipeline to contruct graphs etc *DataObjectPointerArray &	GetOutputs ()
virtual const float &	GetProgress ()
virtual int	GetReferenceCount () const
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual bool	GetReleaseDataFlag () const
virtual const OutputImagePixelType &	GetReplaceValue ()
virtual const bool &	GetThresholdingFailed ()
virtual const InputImagePixelType &	GetUpper ()
InputImagePixelType	GetUpperValueLimit ()
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
bool	HasObserver (const EventObject &event) const
Get the output data of this process object The output of this function is not valid until an appropriate either explicitly or implicitly Both the filter itself and the data object have and both methods update the data Here are three ways to use a image is a pointer to some Image and the particular ProcessObjects involved are filters The same examples apply to non	image (e.g.Mesh) data as well.*\code anotherFilter->SetInput(someFilter->GetOutput())
void	InvokeEvent (const EventObject &) const
void	InvokeEvent (const EventObject &)
	itkStaticConstMacro (OutputImageDimension, unsigned int, TOutputImage::ImageDimension)
ImageDimension constants *	itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension)
virtual DataObjectPointer	MakeOutput (unsigned int idx)
Set Get the limit on the upper threshold value The default is the	max () for the InputPixelType.These methods have been deprecated.Please use Set/Get Upper instead.*/void SetUpperValueLimit(InputImagePixelType upperValue)
Set Get the limit on the upper threshold value The default is the	max () for the InputPixelType.*/virtual void SetUpper(InputImagePixelType _arg)
virtual void	Modified () const
Set Get the limit on the lower threshold value The default is the	NonpositiveMin () for the InputPixelType.*/virtual void SetLower(InputImagePixelType _arg)
virtual void	PopBackInput ()
virtual void	PopFrontInput ()
virtual void	PrepareOutputs ()
void	Print (std::ostream &os, Indent indent=0) const
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	PropagateRequestedRegion (DataObject *output)
Push Pop the input of this process object These methods allow a filter to model its input vector as a queue or stack These routines may not be appropriate for all especially filters with different types of inputs These routines follow the semantics of STL *The routines are useful for applications that need to process rolling sets of images For if an application has images and they need to run a filter on then run the filter on then run the filter on the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list this only makes sense for filters that single type of input Other uses are also possible For a single input pushing and popping inputs allow the application to temporarily replace an input to a filter *virtual void	PushBackInput (const InputImageType *image)
virtual void	PushFrontInput (const InputImageType *image)
virtual void	Register () const
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
void	ReleaseDataFlagOff ()
void	ReleaseDataFlagOn ()
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
virtual void	ResetPipeline ()
Set seed point This seed will be isolated from	Seed1 (if possible).*This method is deprecated
Set seed point This seed will be isolated from	Seed2 (if possible).All pixels connected to this seed will be replaced with ReplaceValue.This method is deprecated
virtual void	SetAbortGenerateData (bool _arg)
void	SetDebug (bool debugFlag) const
virtual void	SetInput (unsigned int, const TInputImage *image)
Set Get the image input of this process object *virtual void	SetInput (const InputImageType *image)
Set Get the precision required for the intensity threshold value The default is *virtual void	SetIsolatedValueTolerance (InputImagePixelType _arg)
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
Get Set the number of threads to create when executing *virtual void	SetNumberOfThreads (int _arg)
virtual void	SetProgress (float _arg)
virtual void	SetReferenceCount (int)
Turn on off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject Default value is off Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag *virtual void	SetReleaseDataFlag (bool flag)
Set Get value to replace thresholded pixels Pixels that lie within the thresholds will be replaced with this value The default is *virtual void	SetReplaceValue (OutputImagePixelType _arg)
Set Get whether to find an upper	threshold (separating two dark regions) or a lower threshold(separating two bright regions)./virtual void SetFindUpperThreshold(bool _arg)
virtual void	UnRegister () const
endcode In the above the two lines of code can be in either order Note that it may be more efficient to use a pipeline than to call	Update () once for each filter in turn.*For an image
endcode In the above the two lines of code can be in either order *Note that	Update () is not called automatically except within a pipeline as in the first example.When\b streaming(using a StreamingImageFilter) is activated
endcode code someFilter	Update ()
*image	Update ()
*anotherFilter	Update ()
Get the output data of this process object The output of this function is not valid until an appropriate either explicitly or implicitly Both the filter itself and the data object have	Update () methods
Get the output data of this process object The output of this *function is not valid until an appropriate	Update () method has *been called
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)
Static Public Member Functions
static void	BreakOnError ()
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
This is a global flag that controls whether any warning or error messages are displayed static void	SetGlobalWarningDisplay (bool flag)
Public Attributes
Allow people to add remove invoke observers(callbacks) to any ITK object.This is an implementation of the subject/observer design pattern.An observer is added by specifying an event to respond to *and an itk unsigned lon	AddObserver )(const EventObject &event, Command *) const
Push Pop the input of this process object These methods allow a filter to model its input vector as a queue or stack These routines may not be appropriate for all especially filters with different types of inputs These routines follow the semantics of STL *The routines are useful for applications that need to process rolling sets of images For if an application has images and they need to run a filter on then run the filter on then run the filter on the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list	Again
This is a global flag that controls whether any	debug
endcode In the above	example
Push Pop the input of this process object These methods allow a filter to model its input vector as a queue or stack These routines may not be appropriate for all especially filters with different types of inputs These routines follow the semantics of STL *The routines are useful for applications that need to process rolling sets of images For if an application has images and they need to run a filter on then run the filter on then run the filter on the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list this only makes sense for filters that single type of input *Other uses are also possible For a single input	filter
Push Pop the input of this process object These methods allow a filter to model its input vector as a queue or stack These routines may not be appropriate for all	filters
*	image = someFilter->GetOutput()
endcode In this a someFilter and a anotherFilter are said to constitute a b pipeline *code	image = someFilter->GetOutput()
Push Pop the input of this process object These methods allow a filter to model its input vector as a queue or stack These routines may not be appropriate for all especially filters with different types of inputs These routines follow the semantics of STL *The routines are useful for applications that need to process rolling sets of images For if an application has images and they need to run a filter on then run the filter on then run the filter on *	images
Push Pop the input of this process object These methods allow a filter to model its input vector as a queue or stack These routines may not be appropriate for all especially filters with different types of inputs These routines follow the semantics of STL *The routines are useful for applications that need to process rolling sets of images For if an application has images and they need to run a filter on then run the filter on	images
Push Pop the input of this process object These methods allow a filter to model its input vector as a queue or stack These routines may not be appropriate for all especially filters with different types of inputs These routines follow the semantics of STL *The routines are useful for applications that need to process rolling sets of images For if an application has *images and they need to run a filter on	images
Push Pop the input of this process object These methods allow a filter to model its input vector as a queue or stack These routines may not be appropriate for all especially filters with different types of inputs These routines follow the semantics of STL *The routines are useful for applications that need to process rolling sets of images For	instance
Get the output data of this process object The output of this function is not valid until an appropriate either explicitly or implicitly Both the filter itself and the data object have and both methods update the data Here are three ways to use a image is a pointer to some Image	object
endcode In the above the two lines of code can be in either order Note that it may be more efficient to use a pipeline than to call the data generated is for the requested *	Region
endcode *In this	situation
Protected Types
typedef ImageToImageFilterDetail::ImageRegionCopier< itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)	InputToOutputRegionCopierType )
typedef ImageToImageFilterDetail::ImageRegionCopier< itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)	OutputToInputRegionCopierType )
Protected Member Functions
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
virtual void	AfterThreadedGenerateData ()
virtual void	AllocateOutputs ()
virtual void	BeforeThreadedGenerateData ()
virtual void	CacheInputReleaseDataFlags ()
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
void	EnlargeOutputRequestedRegion (DataObject *output)
void	GenerateData ()
void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
const DataObject *	GetInput (unsigned int idx) const
virtual const unsigned int &	GetNumberOfRequiredInputs ()
virtual const unsigned int &	GetNumberOfRequiredOutputs ()
const DataObject *	GetOutput (unsigned int idx) const
	ImageToImageFilter ()
	IsolatedConnectedImageFilter ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual void	PropagateResetPipeline ()
*these methods end of hiding the versions from the superclass ProcessObject whose arguments are DataObjects we re expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass *void	PushBackInput (const DataObject *input)
*	PushBackInput ()
*	PushFronInput () in the public section force the *input to be the type expected by an ImageToImageFilter.However
void	PushFrontInput (const DataObject *input)
virtual void	ReleaseInputs ()
virtual void	RemoveInput (DataObject *input)
virtual void	RemoveOutput (DataObject *output)
virtual void	RestoreInputReleaseDataFlags ()
Protected methods for setting inputs Subclasses make use of them for setting input virtual void	SetNthInput (unsigned int num, DataObject *input)
Protected methods for setting outputs Subclasses make use of them for getting output virtual void	SetNthOutput (unsigned int num, DataObject *output)
void	SetNumberOfInputs (unsigned int num)
void	SetNumberOfOutputs (unsigned int num)
virtual void	SetNumberOfRequiredInputs (unsigned int _arg)
virtual void	SetNumberOfRequiredOutputs (unsigned int _arg)
virtual int	SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
	~IsolatedConnectedImageFilter ()
Static Protected Member Functions
static ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)
Protected Attributes
*these methods end of hiding the versions from the superclass ProcessObject whose arguments are DataObjects	Here
bool	m_FindUpperThreshold
InputImagePixelType	m_IsolatedValue
InputImagePixelType	m_IsolatedValueTolerance
InputImagePixelType	m_Lower
TimeStamp	m_OutputInformationMTime
int	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
OutputImagePixelType	m_ReplaceValue
SeedsContainerType	m_Seeds1
SeedsContainerType	m_Seeds2
bool	m_ThresholdingFailed
bool	m_Updating
InputImagePixelType	m_Upper
Methods invoked by virtual 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./virtual void PrintSelf(std voi	PrintHeader )(std::ostream &os, Indent indent) const

itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage > Class Template Reference [Region Growing Filters]

Detailed Description

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

Public Types

Public Member Functions

Static Public Member Functions

Public Attributes

Protected Types

Protected Member Functions