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# itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage > Class Template Reference [Fuzzy Connectedness-based Segmentation Filters]

`#include <itkVectorFuzzyConnectednessImageFilter.h>`

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

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Collaboration diagram for itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >:

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List of all members.

## Detailed Description

### template<class TInputImage, class TOutputImage> class itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >

The purpose of our program is to segment an object of interest in vectorial images using fuzzy connectedness principles. Here is a very brief description of these principles.

There are four basic concepts in fuzzy connectedness: fuzzy affinity [1,2], fuzzy connectedness [1], scale [2], and relative fuzzy connectedness [3]. These references give a complete theoretical basis and description of the underlying algorithms. For algorithm implementation and efficiency, see [4].

Fuzzy affinity is a local fuzzy relation which is defined on the whole image domain. It assigns to every pair of nearby voxels a strength of local hanging togetherness. Two components of fuzzy affinity named homogeneity-feature-based affinity and object-feature-based affinity are devised in a fully vectorial manner. The strength of affinity between any two nearby voxels v1 and v2 is large when v1 and v2 are spatially close, the intensity vectors of voxels in the "vicinity" of v1 and v2 have a high degree of homogeneity, and the intensity vectors are close to an intensity vector expected for the object of interest. (If v1 and v2 are far apart, their affinity is considered to be 0) The extent of "vicinity" is determined by the "scale" value assigned to v1 and v2.

"Scale" is a number assigned to every voxel in the image. It represents the radius of the largest ball centered at the voxel within which the vectorial values of all voxels are homogeneous. In determining affinity between two voxels, all voxels within the ball associated with both voxels are considered. Scale-based fuzzy affinity and fuzzy connectedness can make our algorithms more robust and less sensitive to noise.

A global fuzzy relation called fuzzy connectedness is defined on the whole image domain which assigns to every pair of voxels a strength of global hanging togetherness. The strength of hanging togetherness (connectedness) between two voxels is the largest of the strengths of all paths between them. The strength of any path is simply the smallest affinity of successive pair of voxels along the path.

The other important concept is relative fuzzy connectedness. An object gets defined in an image because of the presence of other co-objects. All co-objects of importance that are present in an image are let to compete among themselves in having voxels as their members. In this competition, every pair of voxels in the image will have a strength of connectedness in each object. The object in which this strength is highest will claim membership of the voxels. Suppose that there are n objects (note that image background is also an object) in the image and that we specify a seed voxel si in each object. Then any voxel v in the image has a strength of connectedness with respect to each si. Voxel v is considered to belong to that object with respect to whose seed v has the highest strength of connectedness [3]. The method requires some modification when a set of seed voxels is specified for each object. The basic algorithmic tool required in all cases is dynamic programming.

The fuzzy connectedness methods have been utilized on 1000s of images in several applications [6-10].

Our program takes a vectorial image as input and produces one binary output. The procedure includes six main steps. 1. Use function Compute_LookupTable () to setup three look-up tables m_ScaleMap, m_HomogeneityMap and m_ObjectMap in order to facilitate the computation of scale, homogeneity-based affinity and object-feature-based * affinity. 2. Use function Compute_Scale() to compute scale value at every voxel in and keep them in m_ScaleArray. In our program we set the maximum scale value as 8, this value could be changed in terms of the input image. 3. Use function Compute_Filter() to compute scale-based filtered vectorial value at every voxel and keep the value in m_FilterImage, this step is to speed up the computation of next step. 4. Use function Compute_Affinity() to compute fuzzy affinity value of each pair of neighboring voxels and keep them in m_Xaffinity, m_Yaffinity, and m_Zaffinity in terms of the coordinate direction. At first, we compute homogeneity-based affinity, them compute object-feature-based affinity, finally we combine them together. 5. Use function FastTracking() to compute global fuzzy connectedness between every voxel and seed points of foreground (selected object) and compute global fuzzy connectedness between every voxel and seed points of background ( other objects). And keep their values in m_ObjectFuzzyScene and m_BackgroundFuzzyScene respectively. 6. In function GenerateDate(), we implement iterative relative fuzzy connectedness strategy. We let foreground and background to compete between them for having voxels as their members in an iterative fashion [5].

Before running our program, user needs to input some parameters.

1. Use function SetObjects to set the number of objects of importance in the image. 2. Use function SetSelectedObject to specify the particular object to be segmented. 3. Use function SetObjectsSeed to specify seed points for objects. 4. Use function SetObjectsMean to specify the mean value of the intensity vector for objects. 5. Use function SetObjectsMatrix to specify the covariance matrix of the intensity vector for objects.

Reference:

1. J. K. Udupa and S. Samarasekera, Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation, Graphical Models Image Processing 58, 1996, 246-261. 2. P. K. Saha, J. K. Udupa, and D. Odhner, Scale-based fuzzy connected image segmentation: theory, algorithms, and validation, Computer Vision and Image Understanding 77, 2000, 145-174. 3. P. K.Saha and J. K. Udupa, Relative Fuzzy connectedness among multiple objects: Theory, algorithms, and applications in image segmentation, Computer Vision and Image Understanding 82, 2001, 42-56. 4. L. G. Nyul and J. K. Udupa, Fuzzy-connected 3D image segmentation at interactive speeds, Proc. SPIE: Medical Imaging 3979, 2000, 212-223. 5. P. K.Saha and J. K. Udupa, Iterative relative fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation, in Proc. Of IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2000, 28-35. 6. J. K. Udupa, L. Wei, S. Samarasekera, Y. Miki, M. A. van Buchen, and R. I. Grossman, Multiple sclerosis lesion quantification using fuzzy connected principles, IEEE Trans. Med. Imag. 16(5), 1997, 598-609. 7. B. L. Rice and J. K. Udupa, Fuzzy connected clutter-free volume rendering for MR angiography, Int. J. Imaging System. Tech. 11, 2000, 62-70. 8. T. Lei and J. K. Udupa, Artery-Vein Separation via MRA-An Image Processing Approch, IEEE Trans. Med. Imag. 20(8), 2001, 689-703. 9. P. K. Saha, J. K. Udupa, E. F. conant, D. P. Chakraborty, and D. Sullivan, Breast Tissue density Quantification via Digitized Mammograms, IEEE Trans. Med. Imag. 20(8), 2001, 792-803. 10. J. Liu, J. K. Udupa, D. Hackney, and G. Moonis, Brain tumor segmentation in MRI by using the fuzzy connectedness method, Proc. SPIE: Medical Imaging 4322, 2001, 1455-1465.

Definition at line 161 of file itkVectorFuzzyConnectednessImageFilter.h.

## Public Types

typedef Vector< unsigned short,
itkGetStaticConstMacro(ImageDimension)>
AffinityVector
typedef SmartPointer< const
Self
ConstPointer
typedef DataObject::Pointer DataObjectPointer
typedef std::vector< DataObjectPointerDataObjectPointerArray
typedef DataObjectPointerArray::size_type DataObjectPointerArraySizeType
typedef std::vector< DoubleMatrixTypeDoubleMatrixArrayType
typedef Matrix< double, itkGetStaticConstMacro(VectorDimension), itkGetStaticConstMacro(VectorDimension)> DoubleMatrixType
typedef std::vector< DoubleVectorTypeDoubleVectorArrayType
typedef Vector< double, itkGetStaticConstMacro(VectorDimension)> DoubleVectorType
typedef TInputImage::IndexType IndexType
typedef InputImageType::ConstPointer InputImageConstPointer
typedef InputImageType::PixelType InputImagePixelType
typedef InputImageType::Pointer InputImagePointer
typedef InputImageType::RegionType InputImageRegionType
typedef TInputImage::PixelType InputPixelType
typedef InputPixelType::VectorType InputVectorType
typedef std::vector< ListSeedTypeListSeedArrayType
typedef std::list< IndexTypeListSeedType
typedef std::vector< TDVectorOffsetType
typedef Superclass::OutputImagePixelType OutputImagePixelType
typedef OutputImageType::Pointer OutputImagePointer
typedef Superclass::OutputImageRegionType OutputImageRegionType
typedef TOutputImage::PixelType OutputPixelType
typedef TOutputImage::RegionType OutRegionType
typedef SmartPointer< SelfPointer
typedef VectorFuzzyConnectednessImageFilter Self
typedef TInputImage::SizeType SizeType
typedef ImageToImageFilter<
TInputImage, TOutputImage >
Superclass
typedef Vector< int, 2 > TDVector
typedef Image< AffinityVector,
itkGetStaticConstMacro(ImageDimension)>
AffinityImageType
typedef TInputImage InputImageType
typedef TOutputImage OutputImageType
typedef Image< unsigned short,
itkGetStaticConstMacro(ImageDimension)>
UShortImageType

## Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
virtual const bool & GetAbortGenerateData ()
CommandGetCommand (unsigned long tag)
bool GetDebug () const
DataObjectPointerArrayGetInputs ()
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
DataObjectPointerArraySizeType GetNumberOfInputs () const
virtual DataObjectPointerArraySizeType GetNumberOfValidRequiredInputs () const
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
virtual void GraftOutput (DataObject *output)
bool HasObserver (const EventObject &event) const
void Initialization ()
void InvokeEvent (const EventObject &) const
void InvokeEvent (const EventObject &)
virtual DataObjectPointer MakeOutput (unsigned int idx)
virtual void Modified () const
virtual void PrepareOutputs ()
void Print (std::ostream &os, Indent indent=0) const
virtual void PropagateRequestedRegion (DataObject *output)
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void ResetPipeline ()
virtual void SetAbortGenerateData (bool _arg)
void SetDebug (bool debugFlag) const
void SetHomogeneityMatrix (const DoubleMatrixType homo_max)
void SetObjectsMatrix (const DoubleMatrixType object_max, const int object_num)
void SetObjectsMean (const DoubleVectorType, const int object_num)
void SetObjectsSeed (const IndexType &seed, const int object_num)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
void SetSuppressBckgFlag (const int flag)
void SetThreshold (const float threshold)
virtual void UnRegister () const
virtual void Update ()
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
virtual void UpdateOutputInformation ()
void UpdateProgress (float amount)
unsigned long AddObserver (const EventObject &event, Command *) const
unsigned long AddObserver (const EventObject &event, Command *)
const InputImageTypeGetInput (unsigned int idx)
const InputImageTypeGetInput (void)
virtual void SetInput (unsigned int, const TInputImage *image)
virtual void SetInput (const InputImageType *image)
virtual int GetNumberOfObjects ()
virtual void SetNumberOfObjects (int _arg)
DataObjectPointerArraySizeType GetNumberOfOutputs () const
DataObjectPointerArrayGetOutputs ()
virtual const int & GetNumberOfThreads ()
OutputImageTypeGetOutput (unsigned int idx)
OutputImageTypeGetOutput (void)
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
virtual void ReleaseDataBeforeUpdateFlagOff ()
virtual void ReleaseDataBeforeUpdateFlagOn ()
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual bool GetReleaseDataFlag () const
void ReleaseDataFlagOff ()
void ReleaseDataFlagOn ()
virtual void SetReleaseDataFlag (bool flag)
itkStaticConstMacro (OutputImageDimension, unsigned int, TOutputImage::ImageDimension)
itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension)
itkStaticConstMacro (ImageDimension, unsigned int, TInputImage::ImageDimension)
itkStaticConstMacro (VectorDimension, unsigned int, InputPixelType::Dimension)
virtual void PopBackInput ()
virtual void PopFrontInput ()
virtual void PushBackInput (const InputImageType *image)
virtual void PushFrontInput (const InputImageType *image)

## Static Public Member Functions

static void BreakOnError ()
static Pointer New ()
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static void SetGlobalWarningDisplay (bool flag)

## Protected Types

typedef ImageToImageFilterDetail::ImageRegionCopier<
itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension)>
InputToOutputRegionCopierType
typedef ImageToImageFilterDetail::ImageRegionCopier<
itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension)>
OutputToInputRegionCopierType
typedef int InternalReferenceCountType

## Protected Member Functions

virtual void AllocateOutputs ()
virtual void CacheInputReleaseDataFlags ()
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
void GenerateData ()
virtual void GenerateInputRequestedRegion ()
virtual void GenerateOutputInformation ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void PrintSelf (std::ostream &os, Indent indent) const
virtual void PropagateResetPipeline ()
virtual void ReleaseInputs ()
virtual void RestoreInputReleaseDataFlags ()
void SetNumberOfInputs (unsigned int num)
void SetNumberOfOutputs (unsigned int num)
virtual int SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
VectorFuzzyConnectednessImageFilter ()
~VectorFuzzyConnectednessImageFilter ()
virtual const unsigned int & GetNumberOfRequiredInputs ()
virtual void RemoveInput (DataObject *input)
virtual void SetNthInput (unsigned int num, DataObject *input)
virtual void SetNumberOfRequiredInputs (unsigned int _arg)
virtual const unsigned int & GetNumberOfRequiredOutputs ()
virtual void RemoveOutput (DataObject *output)
virtual void SetNthOutput (unsigned int num, DataObject *output)
virtual void SetNumberOfRequiredOutputs (unsigned int _arg)
const DataObjectGetInput (unsigned int idx) const
const DataObjectGetOutput (unsigned int idx) const
virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const
void PushBackInput (const DataObject *input)
void PushFrontInput (const DataObject *input)

## Protected Attributes

TimeStamp m_OutputInformationMTime
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
bool m_Updating

## Member Typedef Documentation

template<class TInputImage, class TOutputImage>
 typedef Image itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::AffinityImageType

Definition at line 210 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef Vector itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::AffinityVector

Vector of unsigned sStrong affinity type

Definition at line 196 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef SmartPointer itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::ConstPointer

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

Definition at line 169 of file itkVectorFuzzyConnectednessImageFilter.h.

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

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Definition at line 62 of file itkImageSource.h.

 typedef std::vector itk::ProcessObject::DataObjectPointerArray` [inherited]`

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

 typedef DataObjectPointerArray::size_type itk::ProcessObject::DataObjectPointerArraySizeType` [inherited]`

Size type of an std::vector

Definition at line 112 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage>
 typedef std::vector itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::DoubleMatrixArrayType

Array of double matrics

Definition at line 193 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef Matrix itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::DoubleMatrixType

Double matrix type

Definition at line 190 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef std::vector itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::DoubleVectorArrayType

Array of double vectors

Definition at line 202 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef Vector itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::DoubleVectorType

Vector of double type

Definition at line 199 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef TInputImage::IndexType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::IndexType

Definition at line 213 of file itkVectorFuzzyConnectednessImageFilter.h.

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

Convenient typedefs.

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

Definition at line 207 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef TInputImage::PixelType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::InputPixelType

Extract the image and vector types from the template parameters.

Definition at line 175 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef ImageToImageFilterDetail::ImageRegionCopier 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 164 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef InputPixelType::VectorType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::InputVectorType

Definition at line 180 of file itkVectorFuzzyConnectednessImageFilter.h.

 typedef int itk::LightObject::InternalReferenceCountType` [protected, inherited]`

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

template<class TInputImage, class TOutputImage>
 typedef std::vector itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::ListSeedArrayType

Array of Lists

Definition at line 221 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef std::list itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::ListSeedType

List of Seeds type

Definition at line 218 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef std::vector itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::OffsetType

Definition at line 223 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef TOutputImage itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::OutputImageType

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 208 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef TOutputImage::PixelType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::OutputPixelType

Definition at line 179 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef ImageToImageFilterDetail::ImageRegionCopier 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 169 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef TOutputImage::RegionType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::OutRegionType

Definition at line 215 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef SmartPointer itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Pointer

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

Definition at line 168 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef VectorFuzzyConnectednessImageFilter itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs.

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

Definition at line 166 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef TInputImage::SizeType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SizeType

Definition at line 214 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef ImageToImageFilter itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Superclass

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

Definition at line 167 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef Vector itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::TDVector

Definition at line 204 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 typedef Image itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::UShortImageType

Definition at line 209 of file itkVectorFuzzyConnectednessImageFilter.h.

## Constructor & Destructor Documentation

template<class TInputImage, class TOutputImage>
 itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::VectorFuzzyConnectednessImageFilter ( ) ` [protected]`

template<class TInputImage, class TOutputImage>
 itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::~VectorFuzzyConnectednessImageFilter ( ) ` [protected]`

## 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]`

 unsigned long itk::Object::AddObserver ( const EventObject & event, Command * ) const` [inherited]`

 unsigned long itk::Object::AddObserver ( const EventObject & event, Command * ) ` [inherited]`

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::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

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

template<class TOutputImage>
 virtual void itk::ImageSource< TOutputImage >::AfterThreadedGenerateData ( void ) ` [inline, protected, virtual, inherited]`

If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Definition at line 254 of file itkImageSource.h.

template<class TOutputImage>
 virtual void itk::ImageSource< TOutputImage >::AllocateOutputs ( ) ` [protected, virtual, inherited]`

 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().

template<class TInputImage, class TOutputImage>
 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.

template<class TInputImage, class TOutputImage>
 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).

 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::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::GenerateData ( ) ` [protected, virtual]`

Standard pipeline method.

Reimplemented from itk::ImageSource< 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.

 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.

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

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

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

Method used internally for getting an input.

Reimplemented from itk::ProcessObject.

template<class TInputImage, class TOutputImage>
 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.

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

Returns:

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

Returns:
Warning:
This reference may be changed.

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

Return the multithreader used by this class.

Definition at line 284 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage>
 virtual const char* itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const` [virtual]`

Run-time type information (and related methods).

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

 DataObjectPointerArraySizeType 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 118 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage>
 virtual int itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::GetNumberOfObjects ( ) ` [virtual]`

 DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs ( ) const` [inline, inherited]`

Definition at line 135 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 DataObjectPointerArraySizeType 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.

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

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

Method used internally for getting an output.

Reimplemented from itk::ProcessObject.

template<class TOutputImage>
 OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( void ) ` [inherited]`

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

```   anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();
```

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

```   image = someFilter->GetOutput();
image->Update();
```

```   someFilter->Update();
image = someFilter->GetOutput();
```
(In the above example, 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 streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

 DataObjectPointerArray& itk::ProcessObject::GetOutputs ( ) ` [inline, 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.

Definition at line 133 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 106 of file itkLightObject.h.

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

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

 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 similar to the GraftOutput method except it allows you to 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 TInputImage, class TOutputImage>
 void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Initialization ( )

Allocate the variate in terms of the number of Objects

 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 TInputImage, class TOutputImage>
 itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::itkStaticConstMacro ( ImageDimension , unsigned int, TInputImage::ImageDimension )

template<class TInputImage, class TOutputImage>
 itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::itkStaticConstMacro ( VectorDimension , unsigned int, InputPixelType::Dimension )

Extract the image and vector dimension from the template parameters.

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.

template<class TInputImage, class TOutputImage>
 static Pointer itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::New ( ) ` [static]`

Method for creation through the object factory.

Reimplemented from itk::Object.

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

Reimplemented from itk::ProcessObject.

template<class TInputImage, class TOutputImage>
 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.

Referenced by itk::WeakPointer< itk::ProcessObject >::Print().

 virtual void itk::LightObject::PrintHeader ( std::ostream & os, Indent indent ) const` [protected, virtual, inherited]`

 bool itk::Object::PrintObservers ( std::ostream & os, Indent indent ) const` [protected, inherited]`

template<class TInputImage, class TOutputImage>
 virtual void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::PrintSelf ( std::ostream & os, Indent indent ) const` [protected, 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.

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

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::ProcessObject.

Definition at line 251 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>
 virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::PushBackInput ( const InputImageType * image ) ` [virtual, 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 filters, 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, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, 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 only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

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

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::ProcessObject.

Definition at line 253 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>
 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 257 of file itkProcessObject.h.

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

Definition at line 256 of file itkProcessObject.h.

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

A filter may need to release its input's bulk data after it has finished calculating a new output. The filter may need to release the inputs because the user has turned on the ReleaseDataFlag or it may need to release the inputs because the filter is an "in place" filter and it has overwritten its input with its output data. The implementation here simply checks the ReleaseDataFlag of the inputs. InPlaceImageFilter overrides this method so release the input it has overwritten.

InPlaceImageFilter::ReleaseInputs()

 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.

 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.

 static void itk::Object::SetGlobalWarningDisplay ( bool flag ) ` [static, inherited]`

This is a global flag that controls whether any debug, warning or error messages are displayed.

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

template<class TInputImage, class TOutputImage>
 void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetHomogeneityMatrix ( const DoubleMatrixType homo_max )

Setting the covariance matrix for specified object:

template<class TInputImage, class TOutputImage>
 virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::SetInput ( unsigned int, const TInputImage * image ) ` [virtual, inherited]`

Reimplemented in itk::WatershedImageFilter< TInputImage >.

template<class TInputImage, class TOutputImage>
 virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::SetInput ( const InputImageType * image ) ` [virtual, inherited]`

Set/Get the image input of this process object.

Reimplemented in itk::WatershedImageFilter< TInputImage >.

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

Returns:

 virtual void itk::ProcessObject::SetNthInput ( unsigned int num, DataObject * input ) ` [protected, virtual, inherited]`

 virtual void itk::ProcessObject::SetNthOutput ( unsigned int num, DataObject * output ) ` [protected, virtual, inherited]`

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

Called to allocate the input array. Copies old inputs.

template<class TInputImage, class TOutputImage>
 virtual void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetNumberOfObjects ( int _arg ) ` [virtual]`

Set/Get the object number be segmented in the input image.

 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]`

 virtual void itk::ProcessObject::SetNumberOfThreads ( int _arg ) ` [virtual, inherited]`

template<class TInputImage, class TOutputImage>
 void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetObjectsMatrix ( const DoubleMatrixType object_max, const int object_num )

Setting the covariance matrix for specified object:

template<class TInputImage, class TOutputImage>
 void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetObjectsMean ( const DoubleVectorType, const int object_num )

Setting the seed points for specified object.

template<class TInputImage, class TOutputImage>
 void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetObjectsSeed ( const IndexType & seed, const int object_num )

Setting the seed points for specified object.

 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.

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

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

 virtual void itk::ProcessObject::SetReleaseDataFlag ( bool flag ) ` [virtual, inherited]`

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.

template<class TInputImage, class TOutputImage>
 void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetSuppressBckgFlag ( const int flag ) ` [inline]`

Setting the flag to suppress background.

Definition at line 243 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>
 void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetThreshold ( const float threshold ) ` [inline]`

Setting the threshold of strength of fuzzy connectedness if user selects absolute FC algorighm

Definition at line 251 of file itkVectorFuzzyConnectednessImageFilter.h.

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".

Reimplemented in itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >.

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().

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

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

 virtual void itk::ProcessObject::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.

 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

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

Time when GenerateOutputInformation was last called.

Definition at line 431 of file itkProcessObject.h.

 InternalReferenceCountType itk::LightObject::m_ReferenceCount` [mutable, protected, inherited]`

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

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

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.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 428 of file itkProcessObject.h.

The documentation for this class was generated from the following file:
Generated at Thu Nov 6 12:23:54 2008 for ITK by 1.5.1 written by Dimitri van Heesch, © 1997-2000