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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::ProcessObject [virtual]
AbortGenerateDataOn()itk::ProcessObject [virtual]
AddInput(DataObject *input)itk::ProcessObject [protected, virtual]
AddObserver(const EventObject &event, Command *)itk::Object
AddObserver(const EventObject &event, Command *) const itk::Object
AddOutput(DataObject *output)itk::ProcessObject [protected, virtual]
AfterThreadedGenerateData()itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [inline, protected, virtual]
AllocateOutputs()itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected, virtual]
BayesianClassifierImageFilter()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [protected]
BeforeThreadedGenerateData()itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [inline, protected, virtual]
BreakOnError()itk::LightObject [static]
CacheInputReleaseDataFlags()itk::ProcessObject [protected, virtual]
CallCopyInputRegionToOutputRegion(OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected, virtual]
CallCopyOutputRegionToInputRegion(InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected, virtual]
ClassifyBasedOnPosteriors()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [protected, virtual]
ComputeBayesRule()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [protected, virtual]
ConstPointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
CreateAnother() const itk::Object [virtual]
DataObjectPointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
DataObjectPointerArray typedefitk::ProcessObject
DataObjectPointerArraySizeType typedefitk::ProcessObject
DebugOff() const itk::Object [virtual]
DebugOn() const itk::Object [virtual]
DecisionRulePointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
DecisionRuleType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
Delete()itk::LightObject [virtual]
Dimensionitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [static]
EnlargeOutputRequestedRegion(DataObject *)itk::ProcessObject [inline, virtual]
ExtractedComponentImageType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
GenerateData()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [protected, virtual]
GenerateInputRequestedRegion()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected, virtual]
GenerateOutputInformation(void)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [protected, virtual]
GenerateOutputRequestedRegion(DataObject *output)itk::ProcessObject [protected, virtual]
GetAbortGenerateData()itk::ProcessObject [virtual]
GetCommand(unsigned long tag)itk::Object
GetDebug() const itk::Object
GetGlobalWarningDisplay()itk::Object [static]
GetInput(void)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
GetInput(unsigned int idx)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >::GetInput(unsigned int idx) const itk::ProcessObject [protected]
GetInputs()itk::ProcessObject [inline]
GetMetaDataDictionary(void)itk::Object
GetMetaDataDictionary(void) const itk::Object
GetMTime() const itk::Object [virtual]
GetMultiThreader()itk::ProcessObject [inline]
GetNameOfClass() const itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [virtual]
GetNumberOfInputs() const itk::ProcessObject [inline]
GetNumberOfOutputs() const itk::ProcessObject [inline]
GetNumberOfRequiredInputs()itk::ProcessObject [protected, virtual]
GetNumberOfRequiredOutputs()itk::ProcessObject [protected, virtual]
GetNumberOfSmoothingIterations() const itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [virtual]
GetNumberOfThreads()itk::ProcessObject [virtual]
GetNumberOfValidRequiredInputs() const itk::ProcessObject [virtual]
GetOutput(void)itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
GetOutput(unsigned int idx)itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
itk::ProcessObject::GetOutput(unsigned int idx) const itk::ProcessObject [protected]
GetOutputs()itk::ProcessObject [inline]
GetPosteriorImage()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [protected]
GetProgress()itk::ProcessObject [virtual]
GetReferenceCount() const itk::LightObject [inline, virtual]
GetReleaseDataBeforeUpdateFlag()itk::ProcessObject [virtual]
GetReleaseDataFlag() const itk::ProcessObject [virtual]
GetSmoothingFilter() const itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [virtual]
GlobalWarningDisplayOff()itk::Object [inline, static]
GlobalWarningDisplayOn()itk::Object [inline, static]
GraftNthOutput(unsigned int idx, DataObject *output)itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [virtual]
GraftOutput(DataObject *output)itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [virtual]
HasObserver(const EventObject &event) const itk::Object
ImageRegionType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
ImageSource()itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected]
ImageToImageFilter()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected]
InputImageConstPointer typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
InputImageDimensionitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [static]
InputImageIteratorType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
InputImagePixelType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
InputImagePointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
InputImageRegionType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
InputImageType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
InputPixelType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
InputToOutputRegionCopierType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected]
InternalReferenceCountType typedefitk::LightObject [protected]
InvokeEvent(const EventObject &)itk::Object
InvokeEvent(const EventObject &) const itk::Object
LightObject()itk::LightObject [inline, protected]
m_OutputInformationMTimeitk::ProcessObject [protected]
m_ReferenceCountitk::LightObject [mutable, protected]
m_ReferenceCountLockitk::LightObject [mutable, protected]
m_Updatingitk::ProcessObject [protected]
MakeOutput(unsigned int idx)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [virtual]
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::Object [virtual]
New()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [static]
NormalizeAndSmoothPosteriors()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [protected, virtual]
Object()itk::Object [protected]
OutputImageDimensionitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [static]
OutputImageIteratorType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
OutputImagePixelType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
OutputImagePointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
OutputImageRegionType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >
OutputImageType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
OutputPixelType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
OutputToInputRegionCopierType typedefitk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected]
Pointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
PopBackInput()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [virtual]
PopFrontInput()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< 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::ProcessObject [virtual]
Print(std::ostream &os, Indent indent=0) const itk::LightObject
PrintHeader(std::ostream &os, Indent indent) const itk::LightObject [protected, virtual]
PrintObservers(std::ostream &os, Indent indent) const itk::Object [protected]
PrintSelf(std::ostream &os, Indent indent) const itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [protected, virtual]
PrintTrailer(std::ostream &os, Indent indent) const itk::LightObject [protected, virtual]
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::ProcessObject [protected]
PropagateRequestedRegion(DataObject *output)itk::ProcessObject [virtual]
PropagateResetPipeline()itk::ProcessObject [protected, virtual]
PushBackInput(const InputImageType *image)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [virtual]
PushBackInput(const DataObject *input)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [inline, protected, virtual]
PushFrontInput(const InputImageType *image)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [virtual]
PushFrontInput(const DataObject *input)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [inline, protected, virtual]
Register() const itk::Object [virtual]
ReleaseDataBeforeUpdateFlagOff()itk::ProcessObject [virtual]
ReleaseDataBeforeUpdateFlagOn()itk::ProcessObject [virtual]
ReleaseDataFlagOff()itk::ProcessObject [inline]
ReleaseDataFlagOn()itk::ProcessObject [inline]
ReleaseInputs()itk::ProcessObject [protected, virtual]
RemoveAllObservers()itk::Object
RemoveInput(DataObject *input)itk::ProcessObject [protected, virtual]
RemoveObserver(unsigned long tag)itk::Object
RemoveOutput(DataObject *output)itk::ProcessObject [protected, virtual]
ResetPipeline()itk::ProcessObject [virtual]
RestoreInputReleaseDataFlags()itk::ProcessObject [protected, virtual]
Self typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
SetAbortGenerateData(bool _arg)itk::ProcessObject [virtual]
SetDebug(bool debugFlag) const itk::Object
SetGlobalWarningDisplay(bool flag)itk::Object [static]
SetInput(const InputImageType *image)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [virtual]
SetInput(unsigned int, const TInputVectorImage *image)itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [virtual]
SetMetaDataDictionary(const MetaDataDictionary &rhs)itk::Object
SetNthInput(unsigned int num, DataObject *input)itk::ProcessObject [protected, virtual]
SetNthOutput(unsigned int num, DataObject *output)itk::ProcessObject [protected, virtual]
SetNumberOfInputs(unsigned int num)itk::ProcessObject [protected]
SetNumberOfOutputs(unsigned int num)itk::ProcessObject [protected]
SetNumberOfRequiredInputs(unsigned int _arg)itk::ProcessObject [protected, virtual]
SetNumberOfRequiredOutputs(unsigned int _arg)itk::ProcessObject [protected, virtual]
SetNumberOfSmoothingIterations(unsigned int _arg)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [virtual]
SetNumberOfThreads(int _arg)itk::ProcessObject [virtual]
SetPriors(const PriorsImageType *)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [virtual]
SetProgress(float _arg)itk::ProcessObject [virtual]
SetReferenceCount(int)itk::Object [virtual]
SetReleaseDataBeforeUpdateFlag(bool _arg)itk::ProcessObject [virtual]
SetReleaseDataFlag(bool flag)itk::ProcessObject [virtual]
SetSmoothingFilter(SmoothingFilterType *)itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
SmoothingFilterPointer typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
SmoothingFilterType typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
SplitRequestedRegion(int i, int num, OutputImageRegionType &splitRegion)itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected, virtual]
Superclass typedefitk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
ThreadedGenerateData(const OutputImageRegionType &outputRegionForThread, int threadId) ITK_NO_RETURNitk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected, virtual]
ThreaderCallback(void *arg)itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected, static]
UnRegister() const itk::Object [virtual]
Update()itk::ProcessObject [virtual]
UpdateLargestPossibleRegion()itk::ProcessObject [virtual]
UpdateOutputData(DataObject *output)itk::ProcessObject [virtual]
UpdateOutputInformation()itk::ProcessObject [virtual]
UpdateProgress(float amount)itk::ProcessObject
~BayesianClassifierImageFilter()itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > [inline, protected, virtual]
~ImageSource()itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [inline, protected, virtual]
~ImageToImageFilter()itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > > [protected]
~LightObject()itk::LightObject [protected, virtual]
~Object()itk::Object [protected, virtual]
~ProcessObject()itk::ProcessObject [protected]

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