ITK  4.3.0
Insight Segmentation and Registration Toolkit
itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > Member List

This is the complete list of members for itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, including all inherited members.

AbortGenerateDataOff()itk::ProcessObjectvirtual
AbortGenerateDataOn()itk::ProcessObjectvirtual
AddInput(DataObject *input)itk::ProcessObjectprotectedvirtual
AddObserver(const EventObject &event, Command *)itk::Object
AddObserver(const EventObject &event, Command *) const itk::Object
AddOutput(DataObject *output)itk::ProcessObjectprotectedvirtual
AddRequiredInputName(const DataObjectIdentifierType &)itk::ProcessObjectprotected
AfterThreadedGenerateData()itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >inlineprotectedvirtual
AllocateOutputs()itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >protectedvirtual
BayesianClassifierImageFilter()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >protected
BayesianClassifierImageFilter(const Self &)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >private
BeforeThreadedGenerateData()itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >inlineprotectedvirtual
BreakOnError()itk::LightObjectstatic
CacheInputReleaseDataFlags()itk::ProcessObjectprotectedvirtual
CallCopyInputRegionToOutputRegion(OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >protectedvirtual
CallCopyOutputRegionToInputRegion(InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >protectedvirtual
ClassifyBasedOnPosteriors()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >protectedvirtual
ComputeBayesRule()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >protectedvirtual
ConstPointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
CreateAnother(void) const itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >virtual
DataObjectIdentifierType typedefitk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >
DataObjectPointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
DataObjectPointerArray typedefitk::ProcessObject
DataObjectPointerArraySizeType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
DebugOff() const itk::Objectvirtual
DebugOn() const itk::Objectvirtual
DecisionRulePointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
DecisionRuleType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
Delete()itk::LightObjectvirtual
Dimensionitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >static
EnlargeOutputRequestedRegion(DataObject *)itk::ProcessObjectinlinevirtual
ExtractedComponentImageType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
GenerateData()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >protectedvirtual
GenerateInputRequestedRegion()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >protectedvirtual
GenerateOutputInformation(void)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >protectedvirtual
GenerateOutputRequestedRegion(DataObject *output)itk::ProcessObjectprotectedvirtual
GetAbortGenerateData()itk::ProcessObjectvirtual
GetCommand(unsigned long tag)itk::Object
GetCoordinateTolerance()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
GetDebug() const itk::Object
GetDirectionTolerance()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
GetGlobalWarningDisplay()itk::Objectstatic
GetIndexedInputs()itk::ProcessObject
GetIndexedOutputs()itk::ProcessObject
GetInput(void) constitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >
GetInput(unsigned int idx) constitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >
ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::GetInput(const DataObjectIdentifierType &key)itk::ProcessObjectprotected
ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::GetInput(const DataObjectIdentifierType &key) const itk::ProcessObjectprotected
ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::GetInput(DataObjectPointerArraySizeType)itk::ProcessObjectprotected
ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::GetInput(DataObjectPointerArraySizeType idx) const itk::ProcessObjectprotected
GetInputNames() const itk::ProcessObject
GetInputs()itk::ProcessObject
GetMetaDataDictionary(void)itk::Object
GetMetaDataDictionary(void) const itk::Object
GetMTime() const itk::Objectvirtual
GetMultiThreader() const itk::ProcessObjectinline
GetNameOfClass() const itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >virtual
GetNumberOfIndexedInputs() const itk::ProcessObject
GetNumberOfIndexedOutputs() const itk::ProcessObject
GetNumberOfInputs() const itk::ProcessObjectinline
GetNumberOfOutputs() const itk::ProcessObjectinline
GetNumberOfRequiredInputs()itk::ProcessObjectprotectedvirtual
GetNumberOfRequiredOutputs()itk::ProcessObjectprotectedvirtual
GetNumberOfSmoothingIterations() const itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >virtual
GetNumberOfThreads()itk::ProcessObjectvirtual
GetNumberOfValidRequiredInputs() const itk::ProcessObjectvirtual
GetOutput(void)itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >
GetOutput(void) constitk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >
GetOutput(unsigned int idx)itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >
itk::ProcessObject::GetOutput(const DataObjectIdentifierType &key)itk::ProcessObjectprotected
itk::ProcessObject::GetOutput(const DataObjectIdentifierType &key) const itk::ProcessObjectprotected
itk::ProcessObject::GetOutput(DataObjectPointerArraySizeType idx)itk::ProcessObjectprotected
itk::ProcessObject::GetOutput(DataObjectPointerArraySizeType idx) const itk::ProcessObjectprotected
GetOutputNames() const itk::ProcessObject
GetOutputs()itk::ProcessObject
GetPosteriorImage()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >protected
GetPrimaryInput()itk::ProcessObjectprotected
GetPrimaryInput() const itk::ProcessObjectprotected
GetPrimaryInputName() const itk::ProcessObjectprotectedvirtual
GetPrimaryOutput()itk::ProcessObjectprotected
GetPrimaryOutput() const itk::ProcessObjectprotected
GetPrimaryOutputName() const itk::ProcessObjectprotectedvirtual
GetProgress()itk::ProcessObjectvirtual
GetReferenceCount() const itk::LightObjectinlinevirtual
GetReleaseDataBeforeUpdateFlag()itk::ProcessObjectvirtual
GetReleaseDataFlag() const itk::ProcessObjectvirtual
GetRequiredInputNames() const itk::ProcessObject
GetSmoothingFilter() const itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >virtual
GetTimeStamp() const itk::Objectvirtual
GlobalWarningDisplayOff()itk::Objectinlinestatic
GlobalWarningDisplayOn()itk::Objectinlinestatic
GraftNthOutput(unsigned int idx, DataObject *output)itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
GraftOutput(DataObject *output)itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
GraftOutput(const DataObjectIdentifierType &key, DataObject *output)itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
HasInput(const DataObjectIdentifierType &key) const itk::ProcessObject
HasObserver(const EventObject &event) const itk::Object
HasOutput(const DataObjectIdentifierType &key) const itk::ProcessObject
ImageRegionType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
ImageSource()itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >protected
ImageToImageFilter()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >protected
InputImageConstPointer typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >
InputImageDimensionitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >static
InputImageIteratorType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
InputImagePixelType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >
InputImagePointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
InputImageRegionType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >
InputImageType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
InputPixelType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
InputToOutputRegionCopierType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >protected
InternalClone() const itk::LightObjectprotectedvirtual
InternalReferenceCountType typedefitk::LightObjectprotected
InvokeEvent(const EventObject &)itk::Object
InvokeEvent(const EventObject &) const itk::Object
IsIndexedInputName(const DataObjectIdentifierType &) const itk::ProcessObjectprotected
IsIndexedOutputName(const DataObjectIdentifierType &) const itk::ProcessObjectprotected
IsRequiredInputName(const DataObjectIdentifierType &) const itk::ProcessObjectprotected
itkCloneMacro(Self)itk::LightObject
itkLegacyMacro(virtual void RemoveInput(DataObject *input))itk::ProcessObjectprotected
itkLegacyMacro(virtual void RemoveOutput(DataObject *output))itk::ProcessObjectprotected
itkLegacyMacro(void SetNumberOfInputs(DataObjectPointerArraySizeType num))itk::ProcessObjectprotected
itkLegacyMacro(void SetNumberOfOutputs(DataObjectPointerArraySizeType num))itk::ProcessObjectprotected
LightObject()itk::LightObjectinlineprotected
m_NumberOfSmoothingIterationsitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >private
m_OutputInformationMTimeitk::ProcessObjectprotected
m_ReferenceCountitk::LightObjectmutableprotected
m_ReferenceCountLockitk::LightObjectmutableprotected
m_SmoothingFilteritk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >private
m_Updatingitk::ProcessObjectprotected
m_UserProvidedPriorsitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >private
m_UserProvidedSmoothingFilteritk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >private
MakeIndexFromInputName(const DataObjectIdentifierType &name) const itk::ProcessObjectprotected
MakeIndexFromOutputName(const DataObjectIdentifierType &name) const itk::ProcessObjectprotected
MakeNameFromInputIndex(DataObjectPointerArraySizeType idx) const itk::ProcessObjectprotected
MakeNameFromOutputIndex(DataObjectPointerArraySizeType idx) const itk::ProcessObjectprotected
MakeOutput(DataObjectPointerArraySizeType idx)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >virtual
itk::ProcessObject::MakeOutput(const DataObjectIdentifierType &)itk::ProcessObjectvirtual
MembershipImageIteratorType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
MembershipImagePointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
MembershipImageType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
MembershipPixelType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
Modified() const itk::Objectvirtual
NameArray typedefitk::ProcessObject
New()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >static
NormalizeAndSmoothPosteriors()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >protectedvirtual
Object()itk::Objectprotected
operator=(const Self &)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >private
OutputImageDimensionitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >static
OutputImageIteratorType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
OutputImagePixelType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >
OutputImagePointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
OutputImageRegionType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >
OutputImageType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
OutputPixelType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
OutputToInputRegionCopierType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >protected
Pointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
PopBackInput()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
PopFrontInput()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
PosteriorsImageIteratorType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
PosteriorsImagePointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
PosteriorsImageType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
PosteriorsPixelType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
PrepareOutputs()itk::ProcessObjectvirtual
Print(std::ostream &os, Indent indent=0) const itk::LightObject
PrintHeader(std::ostream &os, Indent indent) const itk::LightObjectprotectedvirtual
PrintObservers(std::ostream &os, Indent indent) const itk::Objectprotected
PrintSelf(std::ostream &os, Indent indent) const itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >protectedvirtual
PrintTrailer(std::ostream &os, Indent indent) const itk::LightObjectprotectedvirtual
PriorsImageIteratorType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
PriorsImagePointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
PriorsImageType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
PriorsPixelType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
ProcessObject()itk::ProcessObjectprotected
PropagateRequestedRegion(DataObject *output)itk::ProcessObjectvirtual
PropagateResetPipeline()itk::ProcessObjectprotectedvirtual
PushBackInput(const InputImageType *image)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
PushBackInput(const DataObject *input)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >inlineprotectedvirtual
PushFrontInput(const InputImageType *image)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
PushFrontInput(const DataObject *input)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >inlineprotectedvirtual
Register() const itk::Objectvirtual
ReleaseDataBeforeUpdateFlagOff()itk::ProcessObjectvirtual
ReleaseDataBeforeUpdateFlagOn()itk::ProcessObjectvirtual
ReleaseDataFlagOff()itk::ProcessObjectinline
ReleaseDataFlagOn()itk::ProcessObjectinline
ReleaseInputs()itk::ProcessObjectprotectedvirtual
RemoveAllObservers()itk::Object
RemoveInput(const DataObjectIdentifierType &key)itk::ProcessObjectprotectedvirtual
RemoveInput(DataObjectPointerArraySizeType)itk::ProcessObjectprotectedvirtual
RemoveObserver(unsigned long tag)itk::Object
RemoveOutput(const DataObjectIdentifierType &key)itk::ProcessObjectprotectedvirtual
RemoveOutput(DataObjectPointerArraySizeType idx)itk::ProcessObjectprotectedvirtual
RemoveRequiredInputName(const DataObjectIdentifierType &)itk::ProcessObjectprotected
ResetPipeline()itk::ProcessObjectvirtual
RestoreInputReleaseDataFlags()itk::ProcessObjectprotectedvirtual
Self typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
SetAbortGenerateData(bool _arg)itk::ProcessObjectvirtual
SetCoordinateTolerance(double _arg)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
SetDebug(bool debugFlag) const itk::Object
SetDirectionTolerance(double _arg)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
SetGlobalWarningDisplay(bool flag)itk::Objectstatic
SetInput(const InputImageType *image)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
SetInput(unsigned int, const TInputVectorImage *image)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >virtual
ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::SetInput(const DataObjectIdentifierType &key, DataObject *input)itk::ProcessObjectprotectedvirtual
SetMetaDataDictionary(const MetaDataDictionary &rhs)itk::Object
SetNthInput(DataObjectPointerArraySizeType num, DataObject *input)itk::ProcessObjectprotectedvirtual
SetNthOutput(DataObjectPointerArraySizeType num, DataObject *output)itk::ProcessObjectprotectedvirtual
SetNumberOfIndexedInputs(DataObjectPointerArraySizeType num)itk::ProcessObjectprotected
SetNumberOfIndexedOutputs(DataObjectPointerArraySizeType num)itk::ProcessObjectprotected
SetNumberOfRequiredInputs(DataObjectPointerArraySizeType)itk::ProcessObjectprotectedvirtual
SetNumberOfRequiredOutputs(DataObjectPointerArraySizeType _arg)itk::ProcessObjectprotectedvirtual
SetNumberOfSmoothingIterations(unsigned int _arg)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >virtual
SetNumberOfThreads(ThreadIdType _arg)itk::ProcessObjectvirtual
SetOutput(const DataObjectIdentifierType &key, DataObject *output)itk::ProcessObjectprotectedvirtual
SetPrimaryInput(DataObject *input)itk::ProcessObjectprotectedvirtual
SetPrimaryInputName(const DataObjectIdentifierType &key)itk::ProcessObjectprotectedvirtual
SetPrimaryOutput(DataObject *output)itk::ProcessObjectprotectedvirtual
SetPrimaryOutputName(const DataObjectIdentifierType &key)itk::ProcessObjectprotectedvirtual
SetPriors(const PriorsImageType *)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >virtual
SetProgress(float _arg)itk::ProcessObjectvirtual
SetReferenceCount(int)itk::Objectvirtual
SetReleaseDataBeforeUpdateFlag(bool _arg)itk::ProcessObjectvirtual
SetReleaseDataFlag(bool flag)itk::ProcessObjectvirtual
SetRequiredInputNames(const NameArray &)itk::ProcessObjectprotected
SetSmoothingFilter(SmoothingFilterType *)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
SetTimeStamp(const TimeStamp &time)itk::Objectprotectedvirtual
SmoothingFilterPointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
SmoothingFilterType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
SplitRequestedRegion(unsigned int i, unsigned int num, OutputImageRegionType &splitRegion)itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >protectedvirtual
Superclass typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
ThreadedGenerateData(const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >protectedvirtual
ThreaderCallback(void *arg)itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >protectedstatic
typedef(Concept::Convertible< unsigned int, TLabelsType >) UnsignedIntConvertibleToLabelsCheckitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
typedef(Concept::AdditiveOperators< TPosteriorsPrecisionType >) PosteriorsAdditiveOperatorsCheckitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
typedef(Concept::Convertible< int, TPosteriorsPrecisionType >) IntConvertibleToPosteriorsCheckitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
typedef(Concept::HasNumericTraits< typename InputPixelType::ValueType >) InputHasNumericTraitsCheckitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
typedef(Concept::HasNumericTraits< TPosteriorsPrecisionType >) PosteriorsHasNumericTraitsCheckitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
typedef(Concept::HasNumericTraits< TPriorsPrecisionType >) PriorsHasNumericTraitsCheckitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
typedef(Concept::MultiplyOperator< typename InputPixelType::ValueType, PriorsPixelType, PosteriorsPixelType >) InputPriorsPosteriorsMultiplyOperatorCheckitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
UnRegister() const itk::Objectvirtual
Update()itk::ProcessObjectvirtual
UpdateLargestPossibleRegion()itk::ProcessObjectvirtual
UpdateOutputData(DataObject *output)itk::ProcessObjectvirtual
UpdateOutputInformation()itk::ProcessObjectvirtual
UpdateProgress(float amount)itk::ProcessObject
VerifyInputInformation()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >protectedvirtual
VerifyPreconditions()itk::ProcessObjectprotectedvirtual
~BayesianClassifierImageFilter()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >inlineprotectedvirtual
~ImageSource()itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >inlineprotectedvirtual
~ImageToImageFilter()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >protected
~LightObject()itk::LightObjectprotectedvirtual
~Object()itk::Objectprotectedvirtual
~ProcessObject()itk::ProcessObjectprotected