  itk::Functor::Abs< TInput, TOutput > | Computes the absolute value of a pixel |
| itk::Functor::Abs< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::AbsLessEqualCompare | Returns ( abs(a) <= abs(b) ) |
| itk::Functor::AbsoluteValueDifference2< TInput1, TInput2, TOutput > | |
| itk::Functor::AbsoluteValueDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
| itk::Accessor::AbsPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_abs() function of a value |
| itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > | |
| itk::Functor::AccessorFunctor< TInput, TAccessor > | Convert an accessor to a functor so that it can be used in a UnaryFunctorImageFilter |
| itk::Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > | |
| itk::Functor::Acos< TInput, TOutput > | Computes the Acos of a pixel |
| itk::Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Accessor::AcosPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_acos() function of a value |
| itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > | |
| itk::Functor::Add1< TInput, TOutput > | |
| itk::Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > | |
| itk::Functor::Add2< TInput1, TInput2, TOutput > | |
| itk::Functor::Add2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
| itk::Functor::Add2< TInputImage::PixelType, Image< TConstant, TInputImage::ImageDimension >::PixelType, TOutputImage::PixelType > | |
| itk::Functor::Add3< TInput1, TInput2, TInput3, TOutput > | |
| itk::Functor::Add3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > | |
| itk::Concept::AdditiveAndAssignOperators< T1, T2 > | |
| itk::Concept::AdditiveOperators< T1, T2, T3 > | |
| itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::AddMultConstFunctor | |
| itk::Accessor::AddPixelAccessor< TPixel > | Simulates the effect of adding a constant value to all pixels |
| itk::Accessor::AddPixelAccessor< TImage::PixelType > | |
| itk::AnchorErodeDilateLine< TInputPix, TCompare > | Class to implement erosions and dilations using anchor methods. This is the base class that must be instantiated with appropriate definitions of greater, less and so on. There is special code for cases where the structuring element is bigger than the image size that aren't particularly anchor related, but use the same data structures. Hopefully these sections occupy a very minor proportion of the time |
| itk::AnchorOpenCloseLine< TInputPix, TCompare > | Class to implement openings and closings using anchor methods. This is the base class that must be instantiated with appropriate definitions of greater, less and so on |
| AnchorUtilities | Functionality in common for anchor openings/closings and erosions/dilation |
| itk::Functor::AND< TInput1, TInput2, TOutput > | Bitwise AND functor |
| itk::Functor::AND< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
| itk::Array1DToData< TDataHolder > | |
| itk::Functor::Asin< TInput, TOutput > | |
| itk::Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Accessor::AsinPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_asin() function of a value |
| itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > | |
| itk::Concept::Assignable< T > | |
| itk::Functor::Atan< TInput, TOutput > | |
| itk::Functor::Atan2< TInput1, TInput2, TOutput > | |
| itk::Functor::Atan2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
| itk::Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Accessor::AtanPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_atan() function of a value |
| itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > | |
| itk::Functor::AttributeLabelObjectAccessor< TLabelObject > | |
| itk::AutoPointer< TObjectType > | Implements an Automatic Pointer to an object |
| itk::AutoPointer< JPEG2000ImageIOInternal > | |
| itk::AuxVarTypeDefault< TPixel, VAuxDimension, VSetDimension > | Level set auxiliary variables type information |
| itk::BandNode< TIndexType, TDataType > | |
| itk::BarycentricCombination< TPointContainer, TWeightContainer > | Computes the barycentric combination of an array of N points |
 std::basic_string< Char > | STL class |
  std::string | STL class |
  itk::FancyString | A special string type that is used to aid I/O operations in DOM-based object readers/writers |
| binary_function | |
| itk::fem::CompareLandmarkDisplacementError | |
| binary_function | |
| itk::watershed::SegmentTree< TScalarType >::merge_comp | |
| itk::watershed::SegmentTree< TScalarType >::sort_comp | |
| itk::Functor::BinaryAccumulator< TInputPixel, TOutputPixel > | |
| itk::ImageToImageFilterDetail::BinaryBooleanDispatch< B1, B2 > | Templated class to produce a unique type for a pairing of booleans |
| itk::BinaryImageToLevelSetImageAdaptor< TInputImage, TLevelSet > | |
| itk::ImageToImageFilterDetail::BinaryIntDispatch< D1, D2 > | Templated class to produce a unique type for a pairing of integers |
| itk::Functor::BinaryNot< TPixel > | |
| itk::Functor::BinaryNot< TImage::PixelType > | |
| itk::Functor::BinaryThreshold< TInput, TOutput > | |
| itk::Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Function::BinaryThresholdAccumulator< TInputPixel, TOutputPixel > | |
| itk::Concept::BitwiseOperators< T1, T2, T3 > | |
| itk::Function::BlackmanWindowFunction< VRadius, TInput, TOutput > | Window function for sinc interpolation.
![\[ w(x) = 0.42 + 0.5 cos(\frac{\pi x}{m}) + 0.08 cos(\frac{2 \pi x}{m}) \]](form_154.png)
|
| itk::BluePixelAccessor< T > | Give access to the Blue component of a RGBPixel type |
| itk::ImageToImageFilterDetail::BooleanDispatch< bool > | Templated class to produce a unique type "true" and "false" |
| itk::Mesh< TPixelType, VDimension, TMeshTraits >::BoundaryAssignmentIdentifier | |
| itk::Functor::BoundedReciprocal< TInput, TOutput > | |
| itk::Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Functor::BoundingBoxLabelObjectAccessor< TLabelObject > | |
| itk::Concept::BracketOperator< T1, T2, T3 > | |
| itk::BresenhamLine< VDimension > | |
| itk::NeighborhoodAlgorithm::CalculateOutputWrapOffsetModifiers< TImage > | Sets up itkNeighborhoodIterator output buffers |
| itk::VTKImageExportBase::CallbackTypeProxy | Provide compatibility between VTK 4.4 and earlier versions |
| itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate | |
| itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector | Candidate Vector |
| itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::CannyThreadStruct | |
| itk::Functor::Cast< TInput, TOutput > | |
| itk::Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > | |
| itk::Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::bio::CellBase | Non-templated Base class from which the templated Cell classes will be derived |
| itk::bio::Cell< NSpaceDimension > | This class implements the minimal behavior of a biological cell |
| itk::CellInterface< TPixelType, TCellTraits > | An abstract interface for cells |
| itk::CellTraitsInfo< VPointDimension, TCoordRep, TInterpolationWeight, TPointIdentifier, TCellIdentifier, TCellFeatureIdentifier, TPoint, TPointsContainer, TUsingCellsContainer > | A simple utility class to define the cell type inside a mesh type structure definition. This just makes a copy of existing type information that is needed for a cell type template parameter |
| itk::Functor::CenterOfGravityLabelObjectAccessor< TLabelObject > | |
| itk::Functor::CentroidLabelObjectAccessor< TLabelObject > | |
| itk::Functor::ChangeLabel< TInput, TOutput > | |
| itk::Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Functor::Clamp< TInput, TOutput > | Functor used to clamp a value to a specified range |
| itk::Functor::Clamp< TInputImage::PixelType, TOutputImage::PixelType > | |
| classname | |
| itk::MultivariateLegendrePolynomial::CoefficientVectorSizeMismatch | Exception object |
| itk::Concept::Comparable< T1, T2 > | |
| itk::AttributeKeepNObjectsLabelMapFilter< TImage, TAttributeAccessor >::Comparator | |
| itk::AttributeRelabelLabelMapFilter< TImage, TAttributeAccessor >::Comparator | |
| itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >::ComparePixStruct | |
| itk::CompensatedSummation< TFloat > | Perform more precise accumulation of floating point numbers |
| itk::Accessor::ComplexConjugatePixelAccessor< TComplexType > | Provide access to the conjugate of a std::complex<> value |
| itk::Accessor::ComplexConjugatePixelAccessor< TImage::PixelType > | |
| itk::Functor::ComplexToImaginary< TInput, TOutput > | |
| itk::Functor::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Accessor::ComplexToImaginaryPixelAccessor< TInternalType, TExternalType > | Give access to the Imaginary part of a std::complex<> value |
| itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > | |
| itk::Functor::ComplexToModulus< TInput, TOutput > | |
| itk::Functor::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Accessor::ComplexToModulusPixelAccessor< TInternalType, TExternalType > | Give access to the Modulus of a std::complex<> value |
| itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > | |
| itk::Functor::ComplexToPhase< TInput, TOutput > | |
| itk::Functor::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Accessor::ComplexToPhasePixelAccessor< TInternalType, TExternalType > | Give access to the Phase part of a std::complex<> value |
| itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > | |
| itk::Functor::ComplexToReal< TInput, TOutput > | |
| itk::Functor::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Accessor::ComplexToRealPixelAccessor< TInternalType, TExternalType > | Give access to the Real part of a std::complex<> value |
| itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > | |
| itk::CompositeTransformIOHelper | An adapter that adapts CompositeTransform into the TransformReader/Writer |
| itk::ConditionalConstIterator< TImage > | A base class for other iterators where membership in the set of output pixels is conditional upon some property, calculation, etc. For example, a threshold iterator might walk a region and return only those pixels which meet a minimum intensity condition |
| itk::FloodFilledFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled spatial function |
| itk::FloodFilledImageFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled image function with read-only access to pixels |
| itk::FloodFilledImageFunctionConditionalIterator< TImage, TFunction > | Iterates over a flood-filled image function with write access to pixels |
| itk::FloodFilledSpatialFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled spatial function with read-only access to pixels |
| itk::FloodFilledSpatialFunctionConditionalIterator< TImage, TFunction > | Iterates over a flood-filled spatial function with write access to pixels |
| itk::ShapedFloodFilledFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled spatial function with read-only access to pixels |
| itk::ShapedFloodFilledImageFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled image function with read-only access to pixels |
| itk::ShapedFloodFilledImageFunctionConditionalIterator< TImage, TFunction > | Iterates over a flood-filled image function with write access to pixels |
| itk::ConditionVariableType | |
| itk::watershed::Segmenter< TInputImage >::connectivity_t | |
| itk::LabelObject< TLabel, VImageDimension >::ConstIndexIterator | |
| itk::LevelSetContainerBase< TIdentifier, TLevelSet >::ConstIterator | |
| itk::LevelSetEquationContainer< TTermContainer >::ConstIterator | |
| itk::LevelSetEquationTermContainer< TInputImage, TLevelSetContainer >::ConstIterator | |
| itk::VectorContainer< TElementIdentifier, TElement >::ConstIterator | |
| itk::LabelMap< TLabelObject >::ConstIterator | A forward iterator over the LabelObjects of a LabelMap |
| itk::Statistics::Histogram< TMeasurement, TFrequencyContainer >::ConstIterator | Class that walks through the elements of the histogram |
| itk::Statistics::Histogram< TMeasurement, TFrequencyContainer >::Iterator | Class that walks through the elements of the histogram |
| itk::Statistics::ImageToListSampleAdaptor< TImage >::ConstIterator | Const Iterator |
| itk::Statistics::ImageToListSampleAdaptor< TImage >::Iterator | Iterator |
| itk::Statistics::JointDomainImageToListSampleAdaptor< TImage >::ConstIterator | Const Iterator |
| itk::Statistics::JointDomainImageToListSampleAdaptor< TImage >::Iterator | Iterator |
| itk::Statistics::ImageToNeighborhoodSampleAdaptor< TImage, TBoundaryCondition >::ConstIterator | Const Iterator |
| itk::Statistics::ImageToNeighborhoodSampleAdaptor< TImage, TBoundaryCondition >::Iterator | Iterator |
| itk::Statistics::ListSample< TMeasurementVector >::ConstIterator | Const Iterator |
| itk::Statistics::ListSample< TMeasurementVector >::Iterator | Iterator |
| itk::Statistics::MembershipSample< TSample >::ConstIterator | |
| itk::Statistics::MembershipSample< TSample >::Iterator | |
| itk::Statistics::PointSetToListSampleAdaptor< TPointSet >::ConstIterator | |
| itk::Statistics::PointSetToListSampleAdaptor< TPointSet >::Iterator | |
| itk::Statistics::Subsample< TSample >::ConstIterator | |
| itk::Statistics::Subsample< TSample >::Iterator | |
| itk::Statistics::VectorContainerToListSampleAdaptor< TVectorContainer >::ConstIterator | |
| itk::Statistics::VectorContainerToListSampleAdaptor< TVectorContainer >::Iterator | |
| itk::IndexedContainerInterface< TElementIdentifier, TElement >::ConstIterator | Support const iteration operations through a container. Dereferencing the iterator must provide an object with the following methods: ElementIdentifier Index(void) const; const Element& Value(void) const; |
| itk::MapContainer< TElementIdentifier, TElement >::ConstIterator | The const iterator type for the map |
| itk::ConstShapedNeighborhoodIterator< TImage, TBoundaryCondition >::ConstIterator | |
| itk::ShapedNeighborhoodIterator< TImage, TBoundaryCondition >::Iterator | |
| itk::LabelObject< TLabel, VImageDimension >::ConstLineIterator | A forward iterator over the lines of a LabelObject |
| itk::Functor::ConstrainedValueAddition< TInput1, TInput2, TOutput > | |
| itk::Functor::ConstrainedValueAddition< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
| itk::Functor::ConstrainedValueDifference< TInput1, TInput2, TOutput > | |
| itk::Functor::ConstrainedValueDifference< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
| itk::Concept::DefaultConstructible< T >::Constraints | |
| itk::Concept::CopyConstructible< T >::Constraints | |
| itk::Concept::Convertible< T1, T2 >::Constraints | |
| itk::Concept::Assignable< T >::Constraints | |
| itk::Concept::LessThanComparable< T1, T2 >::Constraints | |
| itk::Concept::GreaterThanComparable< T1, T2 >::Constraints | |
| itk::Concept::EqualityComparable< T1, T2 >::Constraints | |
| itk::Concept::Comparable< T1, T2 >::Constraints | |
| itk::Concept::AdditiveOperators< T1, T2, T3 >::Constraints | |
| itk::Concept::AdditiveAndAssignOperators< T1, T2 >::Constraints | |
| itk::Concept::MultiplyOperator< T1, T2, T3 >::Constraints | |
| itk::Concept::MultiplyAndAssignOperator< T1, T2 >::Constraints | |
| itk::Concept::DivisionOperators< T1, T2, T3 >::Constraints | |
| itk::Concept::DivisionAndAssignOperators< T1, T2 >::Constraints | |
| itk::Concept::BitwiseOperators< T1, T2, T3 >::Constraints | |
| itk::Concept::BracketOperator< T1, T2, T3 >::Constraints | |
| itk::Concept::NotOperator< T >::Constraints | |
| itk::Concept::IncrementDecrementOperators< T >::Constraints | |
| itk::Concept::OStreamWritable< T >::Constraints | |
| itk::Concept::Signed< T >::Constraints | |
| itk::Concept::SameType< T1, T2 >::Constraints | |
| itk::Concept::SameDimension< D1, D2 >::Constraints | |
| itk::Concept::HasNumericTraits< T >::Constraints | |
| itk::Concept::HasPixelTraits< T >::Constraints | |
| itk::Concept::HasValueType< T >::Constraints | |
| itk::Concept::HasZero< T >::Constraints | |
| itk::Concept::HasJoinTraits< T1, T2 >::Constraints | |
| itk::Concept::SameDimensionOrMinusOne< D1, D2 >::Constraints | |
| itk::Concept::SameDimensionOrMinusOneOrTwo< D1, D2 >::Constraints | |
| itk::Concept::IsInteger< T >::Constraints | |
| itk::Concept::IsNonInteger< T >::Constraints | |
| itk::Concept::IsFloatingPoint< T >::Constraints | |
| itk::Concept::IsFixedPoint< T >::Constraints | |
| itk::FixedArray< TValueType, VLength >::ConstReverseIterator | A const reverse iterator through an array |
| itk::ConstSliceIterator< TPixel, TContainer > | A flexible iterator for ITK containers(i.e. itk::Neighborhood) that support pixel access through operator[] |
| itk::ConstSparseFieldLayerIterator< TNodeType > | Used to iterate through an itkSparseFieldLayer |
| itk::SparseFieldLayerIterator< TNodeType > | The non-const version of the ConstSparseFieldLayerIterator |
| itk::ConstSparseFieldLayerIterator< NodeType > | |
| itk::bio::Gene::ControlDomainType | |
| itk::Concept::Convertible< T1, T2 > | |
| itk::ConvertPixelBuffer< InputPixelType, OutputPixelType, OutputConvertTraits > | Class to convert blocks of data from one type to another |
| itk::ConvertPixelBuffer< InputPixelType, Array< T >, OutputConvertTraits > | |
| itk::ConvertPixelBuffer< InputPixelType, VariableLengthVector< T >, OutputConvertTraits > | |
| itk::Functor::JoinFunctor< TPixel1, TPixel2 >::CopierDispatchBase | |
| itk::Functor::JoinFunctor< TPixel1, TPixel2 >::CopierDispatch< VDimension > | |
| itk::Concept::CopyConstructible< T > | |
| itk::CorrespondenceDataStructureIterator< TStructureType > | An iterator designed to easily traverse an CorrespondenceDataStructure |
| itk::Functor::Cos< TInput, TOutput > | |
| itk::Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Function::CosineWindowFunction< VRadius, TInput, TOutput > | Window function for sinc interpolation.
![\[ w(x) = cos(\frac{\pi x}{2 m} ) \]](form_150.png)
|
| itk::Accessor::CosPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_cos() function of a value |
| itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > | |
| Cross | Compute the cross product of two vectors of dimension 3, independently of the type of the values of vector's elements |
| itk::CrossHelper< TVector > | |
| itk::DataObjectConstIterator | A forward iterator over the DataObject of a ProcessObject |
| itk::InputDataObjectConstIterator | A forward iterator over inputs of a ProcessObject |
| itk::OutputDataObjectConstIterator | A forward iterator over outputs of a ProcessObject |
| itk::DataObjectIterator | A forward iterator over the DataObject of a ProcessObject |
| itk::InputDataObjectIterator | A forward iterator over inputs of a ProcessObject |
| itk::OutputDataObjectIterator | A forward iterator over outputs of a ProcessObject |
| itk::LevelSetBase< TInput, VDimension, TOutput, TDomain >::DataType< T > | Internal class used for one computed characteritic |
| itk::LevelSetBase< TInput, VDimension, TOutput, TDomain >::DataType< itk::CovariantVector > | |
| itk::LevelSetBase< TInput, VDimension, TOutput, TDomain >::DataType< itk::Matrix > | |
| itk::LevelSetBase< TInput, VDimension, TOutput, TDomain >::DataType< OutputRealType > | |
| itk::LevelSetBase< TInput, VDimension, TOutput, TDomain >::DataType< OutputType > | |
| itk::Concept::DefaultConstructible< T > | |
| itk::DefaultConvertPixelTraits< PixelType > | Traits class used to by ConvertPixels to convert blocks of pixels |
| itk::DefaultConvertPixelTraits< ::std::complex< TComponent > > | |
| itk::DefaultConvertPixelTraits< Matrix< VComponent, VRows, VCols > > | |
| itk::DefaultConvertPixelTraits< Offset< VDimension > > | |
| itk::DefaultConvertPixelTraits< VariableLengthVector< VComponent > > | |
| itk::DefaultConvertPixelTraits< VariableSizeMatrix< VComponent > > | |
| itk::DefaultDynamicMeshTraits< TPixelType, VPointDimension, VMaxTopologicalDimension, TCoordRep, TInterpolationWeight, TCellPixelType > | A simple structure that holds type information for a mesh and its cells |
| itk::DefaultImageToImageMetricTraitsv4< TFixedImageType, TMovingImageType, TVirtualImageType, TCoordRep > | A simple structure holding type information for ImageToImageMetricv4 classes |
| itk::DefaultImageToImageMetricTraitsv4< TFixedImage, TMovingImage, TVirtualImage > | |
| itk::DefaultPixelAccessor< TType > | Give access to partial aspects a type |
| itk::DefaultPixelAccessorFunctor< TImageType > | Provides a common API for pixel accessors for Image and VectorImage |
| itk::DefaultStaticMeshTraits< TPixelType, VPointDimension, VMaxTopologicalDimension, TCoordRep, TInterpolationWeight, TCellPixelType > | |
| itk::DefaultVectorPixelAccessor< TType > | Give access to partial aspects of a type |
| itk::Accessor::VectorImageToImagePixelAccessor< TType > | Extract components from a VectorImage |
| itk::DefaultVectorPixelAccessor< TPixelType > | |
| itk::NthElementPixelAccessor< TOutputPixelType, itk::VariableLengthVector< TPixelType > > | |
| itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > | |
| itk::DefaultVectorPixelAccessorFunctor< TImageType > | This class provides a common API for pixel accessors for Image and VectorImage. (between the DefaultVectorPixelAccessor and DefaultPixelAccessor) |
| itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage >::DenseFDThreadStruct | |
| itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >::DirectionCost | |
| itk::DisableIfC< V, T > | |
| itk::BSplineDerivativeKernelFunction< VSplineOrder, TRealValueType >::DispatchBase | |
| itk::BSplineDerivativeKernelFunction< VSplineOrder, TRealValueType >::Dispatch< int > | |
| itk::BSplineKernelFunction< VSplineOrder, TRealValueType >::DispatchBase | |
| itk::BSplineKernelFunction< VSplineOrder, TRealValueType >::Dispatch< int > | |
| itk::MinMaxCurvatureFlowFunction< TImage >::DispatchBase | |
| itk::MinMaxCurvatureFlowFunction< TImage >::Dispatch< VDimension > | |
| itk::ImageToImageFilterDetail::DispatchBase | Base class for a class used to dispatch to dimension specific implementations |
| itk::ImageToImageFilterDetail::BinaryUnsignedIntDispatch< D1, D2 > | Templated class to produce a unique type for a pairing of unsigned integers (usually two dimensions) |
| itk::ImageToImageFilterDetail::IntDispatch< int > | Templated class to produce a unique type for each integer |
| itk::ImageToImageFilterDetail::UnsignedIntDispatch< int > | Templated class to produce a unique type for each unsigned integer (usually a dimension) |
| itk::LinearInterpolateImageFunction< TInputImage, TCoordRep >::DispatchBase | |
| itk::LinearInterpolateImageFunction< TInputImage, TCoordRep >::Dispatch< int > | |
| itk::Functor::Div< TInput1, TInput2, TOutput > | |
| itk::Functor::Div< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
| itk::Functor::Div< TInputImage::PixelType, Image< TConstant, TInputImage::ImageDimension >::PixelType, TOutputImage::PixelType > | |
| itk::Functor::DivideOrZeroOut< TNumerator, TDenominator, TOutput > | |
| itk::Functor::DivideOrZeroOut< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
| itk::Concept::DivisionAndAssignOperators< T1, T2 > | |
| itk::Concept::DivisionOperators< T1, T2, T3 > | |
| itk::watershed::SegmentTable< TScalarType >::edge_pair_t | |
| itk::Functor::EdgePotential< TInput, TOutput > | |
| itk::Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::ElementWrapperInterface< TElement, TElementIdentifier > | |
| itk::ElementWrapperInterface< MinPriorityQueueElementWrapper< TElement, TElementPriority, TElementIdentifier >, TElementIdentifier > | |
| itk::MinPriorityQueueElementWrapper< TElement, TElementPriority, TElementIdentifier > | |
| itk::MaxPriorityQueueElementWrapper< TElement, TElementPriority, TElementIdentifier > | |
| itk::ElementWrapperPointerInterface< TElementWrapperPointer, TElementIdentifier > | |
| itk::Functor::ElongationLabelObjectAccessor< TLabelObject > | |
| itk::EnableIfC< V, T > | |
| itk::Concept::EqualityComparable< T1, T2 > | |
| itk::Functor::EquivalentEllipsoidDiameterLabelObjectAccessor< TLabelObject > | |
| itk::Functor::EquivalentSphericalPerimeterLabelObjectAccessor< TLabelObject > | |
| itk::Functor::EquivalentSphericalRadiusLabelObjectAccessor< TLabelObject > | |
| itk::EventObject | Abstraction of the Events used to communicating among filters and with GUIs |
| itk::AnyEvent | |
| itk::AbortEvent | |
| itk::DeleteEvent | |
| itk::EndEvent | |
| itk::ExitEvent | |
| itk::InitializeEvent | |
| itk::IterationEvent | |
| itk::FunctionAndGradientEvaluationIterationEvent | |
| itk::FunctionEvaluationIterationEvent | |
| itk::GradientEvaluationIterationEvent | |
| itk::ModifiedEvent | |
| itk::TreeChangeEvent< TTreeType > | Checks if the position of a node in the tree has been changed |
| itk::TreeAddEvent< TTreeType > | Checks if a node has been added to the tree |
| itk::TreeNodeChangeEvent< TTreeType > | Signals that a node has been set to another value. The position of the changed node is provided |
| itk::TreeRemoveEvent< TTreeType > | Checks if a node has been removed from the tree |
| itk::TreePruneEvent< TTreeType > | Signals that a node and all its childs will shortly be removed. The position of the top-level removed node is provided |
| itk::PickEvent | |
| itk::AbortCheckEvent | |
| itk::EndPickEvent | |
| itk::StartPickEvent | |
| itk::ProgressEvent | |
| itk::StartEvent | |
| itk::UserEvent | |
| itk::NoEvent | |
| std::exception | STL class |
| itk::ExceptionObject | Standard exception handling object |
| itk::DataObjectError | Exception object for DataObject exceptions |
| itk::InvalidRequestedRegionError | |
| itk::fem::FEMException | Base class for all exception's that can occur within FEM classes |
| itk::fem::FEMExceptionIO | Base class for all IO exception's that can occur within FEM classe |
| itk::fem::FEMExceptionItpackSolver | Handles errors that occur in itpack solving routines |
| itk::fem::FEMExceptionItpackSparseMatrixSbagn | Handles errors that occur when unfinalizing the matrix |
| itk::fem::FEMExceptionItpackSparseMatrixSbsij | Handles errors that occur when building the matrix |
| itk::fem::FEMExceptionLinearSystem | |
| itk::fem::FEMExceptionLinearSystemBounds | |
| itk::fem::FEMExceptionObjectNotFound | Object not found exception |
| itk::fem::FEMExceptionSolution | Base class for all exceptions that can occur when solving FEM problem |
| itk::fem::FEMExceptionWrongClass | Bad object exception |
| itk::ImageFileReaderException | Base exception class for IO conflicts |
| itk::ImageFileWriterException | Base exception class for IO problems during writing |
| itk::ImageSeriesWriterException | Base exception class for IO problems during writing |
| itk::IncompatibleOperandsError | |
| itk::InvalidArgumentError | |
| itk::MemoryAllocationError | |
| itk::MeshFileReaderException | Base exception class for IO conflicts |
| itk::MeshFileWriterException | Base exception class for IO problems during writing |
| itk::ProcessAborted | |
| itk::RangeError | |
| itk::SampleToHistogramFilterException | |
| itk::HistogramWrongNumberOfComponents | |
| itk::MissingHistogramBinMaximumInput | |
| itk::MissingHistogramBinMinimumInput | |
| itk::MissingHistogramMarginalScaleInput | |
| itk::MissingHistogramSizeInput | |
| itk::NullSizeHistogramInputMeasurementVectorSize | |
| itk::Functor::Exp< TInput, TOutput > | |
| itk::Functor::Exp< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Functor::ExpNegative< TInput, TOutput > | |
| itk::Functor::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Accessor::ExpNegativePixelAccessor< TInternalType, TExternalType > | Give access to the vcl_exp() function of a value |
| itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > | |
| itk::Accessor::ExpPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_exp() function of a value |
| itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > | |
| itk::watershed::Boundary< TScalarType, TDimension >::face_pixel_t | |
| itk::FastMarchingTraits< TInput, TOutput > | Base class traits to be used by the FastMarchingBase |
| itk::FastMarchingTraitsBase< TInputDomain, TNode, TOutputDomain, TSuperclass > | |
| itk::FastMarchingTraitsBase< Image< TInputPixel, VDimension >, Index< VDimension >, Image< TOutputPixel, VDimension >, ImageToImageFilter< Image< TInputPixel, VDimension >, Image< TOutputPixel, VDimension > > > | |
| itk::FastMarchingTraits< Image< TInputPixel, VDimension >, Image< TOutputPixel, VDimension > > | |
| itk::FastMarchingTraitsBase< QuadEdgeMesh< TInputPixel, VDimension, TInputMeshTraits >, TInputMeshTraits::PointIdentifier, QuadEdgeMesh< TOutputPixel, VDimension, TOutputMeshTraits >, QuadEdgeMeshToQuadEdgeMeshFilter< QuadEdgeMesh< TInputPixel, VDimension, TInputMeshTraits >, QuadEdgeMesh< TOutputPixel, VDimension, TOutputMeshTraits > > > | |
| itk::FastMarchingTraits< QuadEdgeMesh< TInputPixel, VDimension, TInputMeshTraits >, QuadEdgeMesh< TOutputPixel, VDimension, TOutputMeshTraits > > | |
| itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >::FDThreadStruct | |
| itk::MRCHeaderObject::FeiExtendedHeader | |
| itk::fem::FEMP< T > | Pointer used to store polymorphic elements in STL arrays |
| FEMRobustSolver | A FEM solver characterized by accommodating outliers or noises in landmarks and advancing approximation to interpolation. This solver takes a FEMObject as input and outputs a deformed FEMObject |
| itk::Functor::FeretDiameterLabelObjectAccessor< TLabelObject > | |
| itk::FileTools | This is a helper class to provide file/directory manipulations such as file creation, directory creation, etc |
| itk::ProgressAccumulator::FilterRecord | |
| FilterWatcher | |
| itk::FixedArray< TValueType, VLength > | Simulate a standard C array with copy semnatics |
| itk::FixedArray< bool, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< CoordRepType, NPointDimension > | |
| itk::Point< CoordRepType, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< CoordRepType, NVectorDimension > | |
| itk::Vector< CoordRepType, itkGetStaticConstMacro(SpaceDimension) > | |
| itk::FixedArray< CoordRepType, VPointDimension *2 > | |
| itk::FixedArray< double, 4 > | |
| itk::FixedArray< double, ImageDimension > | |
| itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension2) > | |
| itk::FixedArray< double, itkGetStaticConstMacro(NDimensions) > | |
| itk::FixedArray< double, NPointDimension > | |
| itk::Point< double, 2 > | |
| itk::Point< double, 3 > | |
| itk::Point< double, itkGetStaticConstMacro(ImageDimension) > | |
| itk::Point< double, TDimension > | |
| itk::Point< double, TPointDimension > | |
| itk::Point< double, VImageDimension > | |
| itk::Point< double, VIndexDimension > | |
| itk::ContinuousIndex< double, ImageDimension > | |
| itk::FixedArray< double, NVectorDimension > | |
| itk::CovariantVector< double, 3 > | |
| itk::CovariantVector< double, TPointDimension > | |
| itk::CovariantVector< double, VDimension > | |
| itk::Vector< double, 3 > | |
| itk::Vector< double, itkGetStaticConstMacro(ImageDimension) > | |
| itk::Vector< double, NSpaceDimension > | |
| itk::Vector< double, TDimension > | |
| itk::Vector< double, TPointDimension > | |
| itk::Vector< double, TSampleDimension > | |
| itk::Vector< double, VDimension > | |
| itk::Vector< double, VImageDimension > | |
| itk::FixedArray< double, TDimension > | |
| itk::FixedArray< double, VImageDimension > | |
| itk::FixedArray< ExpandFactorsType, ImageDimension > | |
| itk::FixedArray< float, 3 > | |
| itk::RGBPixel< float > | |
| itk::FixedArray< float, 4 > | |
| itk::RGBAPixel< float > | |
| itk::FixedArray< float, ImageDimension > | |
| itk::FixedArray< float, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< float, itkGetStaticConstMacro(MeasurementVectorSize) > | |
| itk::FixedArray< float, NPointDimension > | |
| itk::Point< float, VIndexDimension > | |
| itk::ContinuousIndex< float, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< float, NVectorDimension > | |
| itk::Vector< float, VDimension3 > | |
| itk::FixedArray< GaussianDerivativeOperatorType, 2 *itkGetStaticConstMacro(ImageDimension2) > | |
| itk::FixedArray< GaussianDerivativeOperatorType, 3 *itkGetStaticConstMacro(ImageDimension2) > | |
| itk::FixedArray< GaussianDerivativeOperatorType, itkGetStaticConstMacro(ImageDimension2) > | |
| itk::FixedArray< IdentifierType, 3 > | |
| itk::FixedArray< ImagePointer, NDimensions > | |
| itk::FixedArray< int, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< KernelType, itkGetStaticConstMacro(ImageDimension2) > | |
| itk::FixedArray< KernelType, itkGetStaticConstMacro(ImageDimension2)*(itkGetStaticConstMacro(ImageDimension2)+1)/2 > | |
| itk::FixedArray< NeighborhoodType, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< NodeValueType, NVectorDimension > | |
| itk::Vector< NodeValueType, TImageType::ImageDimension > | |
| itk::FixedArray< OperatorNeighborhoodType, 2 *itkGetStaticConstMacro(ImageDimension2) > | |
| itk::FixedArray< PointType, 3 > | |
| itk::FixedArray< PointValueType, NPointDimension > | |
| itk::Point< PointValueType, VImageDimension > | |
| itk::FixedArray< RangeDomainMeasurementType, itkGetStaticConstMacro(RangeDomainDimension) > | |
| itk::FixedArray< RealType, ImageDimension > | |
| itk::FixedArray< RealType, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< ScalarRealType, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< ScalarType, NVectorDimension > | |
| itk::Vector< ScalarType, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< SizeValueType, FixedImageType::ImageDimension > | |
| itk::FixedArray< SpacingValueType, NVectorDimension > | |
| itk::Vector< SpacingValueType, VImageDimension > | |
| itk::FixedArray< T, NVectorDimension > | |
| itk::CovariantVector< T, NVectorDimension > | A templated class holding a n-Dimensional covariant vector |
| itk::Vector< T, NVectorDimension > | A templated class holding a n-Dimensional vector |
| itk::FixedArray< TComponent, 3 > | |
| itk::RGBPixel< TComponent > | Represent Red, Green and Blue components for color images |
| itk::FixedArray< TComponent, 4 > | |
| itk::RGBAPixel< TComponent > | Represent Red, Green, Blue and Alpha components for color images |
| itk::FixedArray< TComponent, NDimension *(NDimension+1)/2 > | |
| itk::SymmetricSecondRankTensor< TComponent, NDimension > | Represent a symmetric tensor of second rank |
| itk::SymmetricSecondRankTensor< TComponent, 3 > | |
| itk::DiffusionTensor3D< TComponent > | Represent a diffusion tensor as used in DTI images |
| itk::FixedArray< TComponentType, 4 > | |
| itk::RGBAPixel< TComponentType > | |
| itk::FixedArray< TCoordRep, NPointDimension > | |
| itk::Point< TCoordRep, NPointDimension > | A templated class holding a geometric point in n-Dimensional space |
| itk::Point< TCoordRep, VIndexDimension > | |
| itk::ContinuousIndex< TCoordRep, itkGetStaticConstMacro(ImageDimension) > | |
| itk::ContinuousIndex< TCoordRep, VIndexDimension > | A templated class holding a point in n-Dimensional image space |
| itk::Point< TCoordRep, VPointDimension > | |
| itk::QuadEdgeMeshPoint< TCoordRep, VPointDimension, TQuadEdge > | Wrapper around a itk::Point in order to add a reference to an entry in the edge ring |
| itk::FixedArray< TOutput, NPointDimension > | |
| itk::Point< TOutput, VIndexDimension > | |
| itk::ContinuousIndex< TOutput, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< TPixel, 3 > | |
| itk::RGBPixel< TPixel > | |
| itk::FixedArray< TRealType, ImageDimension > | |
| itk::FixedArray< TRealType, VectorDimension > | |
| itk::FixedArray< TScalarType, NDimensions > | |
| itk::FixedArray< TScalarType, NPointDimension > | |
| itk::Point< TScalarType, itkGetStaticConstMacro(InputSpaceDimension)> | |
| itk::Point< TScalarType, NDimensions > | |
| itk::FixedArray< TScalarType, NVectorDimension > | |
| itk::Vector< TScalarType, 3 > | |
| itk::Vector< TScalarType, 6 > | |
| itk::Vector< TScalarType, itkGetStaticConstMacro(InputSpaceDimension)> | |
| itk::Vector< TScalarType, itkGetStaticConstMacro(OutputSpaceDimension)> | |
| itk::Vector< TScalarType, NDimensions > | |
| itk::FixedArray< typename LabelIndexType::IndexValueType, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< typename LabelIndexType::IndexValueType, itkGetStaticConstMacro(ImageDimension)*2 > | |
| itk::FixedArray< unsigned int, ImageDimension > | |
| itk::FixedArray< unsigned int, itkGetStaticConstMacro(ImageDimension) > | |
| itk::FixedArray< unsigned int, itkGetStaticConstMacro(ImageDimension2) > | |
| itk::FixedArray< unsigned int, itkGetStaticConstMacro(OutputImageDimension) > | |
| itk::FixedArray< unsigned int, TImage::ImageDimension > | |
| itk::FixedArray< unsigned, ImageDimension > | |
| itk::FixedArray< unsigned, itkGetStaticConstMacro(ImageDimension)> | |
| itk::FixedArray< VectorType, TPointDimension-1 > | |
| itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageSamplePoint | |
| itk::watershed::Boundary< TScalarType, TDimension >::flat_region_t | |
| itk::watershed::Segmenter< TInputImage >::flat_region_t | |
| itk::Functor::FlatnessLabelObjectAccessor< TLabelObject > | |
| itk::Math::Detail::FloatIEEE< T > | |
| itk::Math::Detail::FloatIEEETraits< T > | |
| itk::Math::Detail::FloatIEEETraits< double > | |
| itk::Math::Detail::FloatIEEETraits< float > | |
| itk::FloatingPointExceptions | |
| itk::Concept::FloatOrDouble< T > | |
| itk::Concept::FloatOrDouble< double > | |
| itk::Concept::FloatOrDouble< float > | |
| itk::VoronoiDiagram2DGenerator< TCoordType >::FortuneEdge | |
| itk::VoronoiDiagram2DGenerator< TCoordType >::FortuneHalfEdge | |
| itk::VoronoiDiagram2DGenerator< TCoordType >::FortuneSite | |
| itk::QuadEdgeMeshFrontBaseIterator< TMesh, TQE >::FrontAtom | Atomic information associated to each edge of the front |
| itk::fem::GaussIntegrate | Use the Gauss-Legendre formula to perform integration |
| GE_5x_ImgHdr | |
| GEImageHeader | |
| itk::bio::Gene | This class implements the abstraction of a biological gene |
| itk::bio::GeneNetwork | This class implements the abstraction of a biological gene network |
| itk::bio::Genome | This class implements the abstraction of a biological genome |
| itk::GeometryUtilities | Groups some utility functions related to geometry |
| itk::GPUDemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::GlobalDataStruct | |
| itk::ESMDemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::GlobalDataStruct | |
| itk::RegionBasedLevelSetFunction< TInput, TFeature, TSharedData >::GlobalDataStruct | |
| itk::LevelSetFunction< TImageType >::GlobalDataStruct | |
| itk::ShapePriorSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ShapePriorGlobalDataStruct | |
| itk::MeanSquareRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::GlobalDataStruct | |
| itk::DemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::GlobalDataStruct | |
| itk::FastSymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::GlobalDataStruct | |
| itk::LevelSetMotionRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::GlobalDataStruct | |
| itk::SymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::GlobalDataStruct | |
| itk::MIRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::GlobalDataStruct | |
| itk::NCCRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::GlobalDataStruct | |
| GPUContextManager | Class to store the GPU context |
| itk::Functor::GPUFunctorBase | Base functor class for GPU functor image filters |
| itk::Functor::GPUBinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Functor::GPUBinaryThreshold< TInput, TOutput > | |
| itk::GPUImageOps | Provides the kernels for some basic GPU Image Operations |
| itk::GPUTraits< T > | |
| itk::GPUTraits< Image< TPixelType, NDimension > > | |
| itk::Concept::GreaterThanComparable< T1, T2 > | |
| itk::GreenPixelAccessor< T > | Give access to the Green component of a RGBPixel type |
| itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >::GreyAndPos | |
| itk::Function::HammingWindowFunction< VRadius, TInput, TOutput > | Window function for sinc interpolation.
![\[ w(x) = 0.54 + 0.46 cos(\frac{\pi x}{m} ) \]](form_151.png)
|
| itk::OpenCVImageBridge::HandleRGBPixel< TPixel, VDimension > | |
| itk::OpenCVImageBridge::HandleRGBPixel< RGBPixel< TValue >, VDimension > | |
| itk::Concept::HasJoinTraits< T1, T2 > | |
| itk::Concept::HasNumericTraits< T > | |
| itk::Concept::HasPixelTraits< T > | |
| itk::Concept::HasValueType< T > | |
| itk::Concept::HasZero< T > | |
| itk::MRCHeaderObject::Header | |
| itk::HexahedronCellTopology | Holds data defining the topological connections of the vertices and edges of a HexahedronCell |
| itk::HexahedronCell< TCellInterface > | Represents a hexahedron for a Mesh |
| itk::Function::HistogramEntropyFunction< TInput, TOutput > | |
| itk::Function::HistogramEntropyFunction< SizeValueType, TImage::PixelType > | |
| itk::Function::HistogramIntensityFunction< TInput, TOutput > | |
| itk::Function::HistogramIntensityFunction< SizeValueType, TImage::PixelType > | |
| itk::Functor::HistogramLabelObjectAccessor< TLabelObject > | |
| itk::Function::HistogramLogProbabilityFunction< TInput, TOutput > | |
| itk::Function::HistogramLogProbabilityFunction< SizeValueType, TImage::PixelType > | |
| itk::Function::HistogramProbabilityFunction< TInput, TOutput > | |
| itk::Function::HistogramProbabilityFunction< SizeValueType, TImage::PixelType > | |
| itk::AutomaticTopologyMeshSource< TOutputMesh >::IdentifierArrayEqualsFunction | |
| itk::AutomaticTopologyMeshSource< TOutputMesh >::IdentifierArrayHashFunction | |
| itk::IdentityHelper< T > | |
| if defined WIN32 defined _WIN32public WindowsMemoryUsageObserverelif defined linuxpublic LinuxMemoryUsageObserverelif defined __SUNPRO_CC defined __sun__public SunSolarisMemoryUsageObserverelif defined __APPLE__public MacOSXMemoryUsageObserverelif defined __FreeBSD__ defined __OpenBSD__public SysResourceMemoryUsageObserverelsepublic MallinfoMemoryUsageObserverendif | |
| MemoryUsageObserver | Provides the memory usage of the process |
| itk::ImageAlgorithm | A container of static functions which can operate on Images with Iterators |
| itk::ImageBoundaryCondition< TInputImage, TOutputImage > | A virtual base object that defines an interface to a class of boundary condition objects for use by neighborhood iterators |
| itk::ConstantBoundaryCondition< TInputImage, TOutputImage > | This boundary condition returns a constant value for out-of-bounds image pixels |
| itk::PeriodicBoundaryCondition< TInputImage, TOutputImage > | A function object that determines values outside of image boundaries according to periodic (wrap-around) conditions |
| itk::ZeroFluxNeumannBoundaryCondition< TInputImage, TOutputImage > | A function object that determines a neighborhood of values at an image boundary according to a Neumann boundary condition where first, upwind derivatives on the boundary are zero. This is a useful condition in solving some classes of differential equations |
| itk::ImageBoundaryCondition< FixedImageType, FixedImageType > | |
| itk::ZeroFluxNeumannBoundaryCondition< FixedImageType > | |
| itk::ImageBoundaryCondition< ImageType > | |
| itk::ImageBoundaryCondition< ImageType, ImageType > | |
| itk::ZeroFluxNeumannBoundaryCondition< ImageType > | |
| itk::ImageBoundaryCondition< InputImageType > | |
| itk::ImageBoundaryCondition< InputImageType, InputImageType > | |
| itk::ConstantBoundaryCondition< InputImageType > | |
| itk::ZeroFluxNeumannBoundaryCondition< InputImageType > | |
| itk::ImageBoundaryCondition< itk::Image, itk::Image > | |
| itk::ZeroFluxNeumannBoundaryCondition< itk::Image > | |
| itk::ImageBoundaryCondition< OutputImageType > | |
| itk::ImageBoundaryCondition< TDisplacementField, TDisplacementField > | |
| itk::ZeroFluxNeumannBoundaryCondition< TDisplacementField > | |
| itk::ImageBoundaryCondition< TImage, TImage > | |
| itk::ZeroFluxNeumannBoundaryCondition< TImage > | |
| itk::ImageBoundaryCondition< TImageType, TImageType > | |
| itk::ZeroFluxNeumannBoundaryCondition< TImageType > | |
| itk::ImageBoundaryCondition< TInput, TInput > | |
| itk::ZeroFluxNeumannBoundaryCondition< TInput > | |
| itk::ImageBoundaryCondition< TInputImage, TInputImage > | |
| itk::ZeroFluxNeumannBoundaryCondition< TInputImage > | |
| itk::ImageBoundaryCondition< TSparseImageType, TSparseImageType > | |
| itk::ZeroFluxNeumannBoundaryCondition< TSparseImageType > | |
| itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TImage > | Splits an image into a main region and several "face" regions which are used to handle computations on the boundary of an image |
| itk::ImageConstIterator< TImage > | A multi-dimensional image iterator templated over image type |
| itk::ImageIterator< TImage > | A multi-dimensional iterator templated over image type |
| itk::ImageRegionConstIterator< TImage > | A multi-dimensional iterator templated over image type that walks a region of pixels |
| itk::ImageRegionIterator< TImage > | A multi-dimensional iterator templated over image type that walks a region of pixels |
| itk::ImageScanlineConstIterator< TImage > | A multi-dimensional iterator templated over image type that walks a region of pixels, scanline by scanline or in the direction of the fastest axis |
| itk::ImageScanlineIterator< TImage > | A multi-dimensional iterator templated over image type that walks a region of pixels, scanline by scanline or in the direction of the fastest axis |
| itk::ImageConstIterator< ImageType > | |
| itk::ImageRegionConstIterator< ImageType > | |
| itk::ImageConstIteratorWithIndex< TImage > | A base class for multi-dimensional iterators templated over image type that are designed to efficiently keep track of the iterator position |
| itk::ImageIteratorWithIndex< TImage > | A base class for multi-dimensional iterators templated over image type that are designed to efficiently keep track of the iterator position |
| itk::ImageLinearConstIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits image pixels within a region in a "scan-line" order |
| itk::ImageLinearIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits image pixels within a region in a "scan-line" order |
| itk::ImageRandomConstIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits a random set of pixels within an image region |
| itk::ImageRandomIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits a random set of pixels within an image region |
| itk::ImageRandomNonRepeatingConstIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits a random set of pixels within an image region. All pixels in the image will be visited before any are repeated. A priority image may be passed to the interator which will cause it to select certain sets of pixels (those with lower priority values) before others |
| itk::ImageRandomNonRepeatingIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits image pixels within a region in a random order, without repeating |
| itk::ImageRegionConstIteratorWithIndex< TImage > | A multi-dimensional iterator templated over image type that walks an image region and is specialized to keep track of its index location |
| itk::ImageRegionExclusionConstIteratorWithIndex< TImage > | A multi-dimensional image iterator that walks an image region, excluding a second region that may partially or completely overlap the first, with read-only access to pixels |
| itk::ImageRegionExclusionIteratorWithIndex< TImage > | A multi-dimensional image iterator that walks an image region, excluding a second region contained within the first, with write access to pixels |
| itk::ImageRegionIteratorWithIndex< TImage > | A multi-dimensional iterator templated over image type that walks pixels within a region and is specialized to keep track of its image index location |
| itk::ImageSliceConstIteratorWithIndex< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageSliceIteratorWithIndex< TImage > | A multi-dimensional image iterator that extends the ImageLinearIteratorWithIndex from iteration along lines in an image to iteration along both lines and planes (slices) within an image |
| itk::ReflectiveImageRegionConstIterator< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ReflectiveImageRegionIterator< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageConstIteratorWithIndex< TImageType > | |
| itk::ImageLinearConstIteratorWithIndex< TImageType > | |
| itk::ImageLinearIteratorWithIndex< TImageType > | |
| itk::ImageConstIteratorWithOnlyIndex< TImage > | A base class for multi-dimensional iterators templated over image type that are designed to provide only index information, and no pixel access |
| itk::ImageRandomConstIteratorWithOnlyIndex< TImage > | A multi-dimensional image iterator that visits a random set of locations within an image region, providing index information |
| itk::ImageRegionConstIteratorWithOnlyIndex< TImage > | A multi-dimensional iterator templated over image type that walks an image region and is specialized to keep track of its index location and safely support images of type ImageBase |
| itk::ImageHelper< NImageDimension, NLoop > | Fast Index/Offset computation |
| ImageInfo | A container for an image and its descriptiom |
| itk::ImageIORegionAdaptor< VDimension > | Helper class for converting ImageRegions into ImageIORegions and back |
| itk::Statistics::ImageJointDomainTraits< TImage > | This class provides the type definition for the measurement vector in the joint domain (range domain – pixel values + spatial domain – pixel's physical coordinates) |
| itk::ImageToImageFilterDetail::ImageRegionCopier< D1, D2 > | A Function object used to dispatching to a routine to copy a region (start index and size) |
| itk::ImageToImageFilterDetail::ImageRegionCopier< T1, T2 > | |
| itk::ImageToImageFilterDetail::ExtractImageFilterRegionCopier< T1, T2 > | A special variation of ImageRegionCopier for when the output image has fewer dimensions than the input image |
| itk::ImageReverseConstIterator< TImage > | Multi-dimensional image iterator |
| itk::ImageRegionReverseConstIterator< TImage > | A multi-dimensional image iterator designed to walk a specified image region in reverse |
| itk::ImageRegionReverseIterator< TImage > | A multi-dimensional image iterator which only walks a region |
| itk::ImageReverseIterator< TImage > | A multi-dimensional image iterator designed to walk a specified region in reverse |
| itk::ImageSourceCommon | Secondary bass class of ImageSource common between templates |
| itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType > | |
| itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType > | |
| itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType > | |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType, Functor::MakeJoin< TInputImage1, TInputImage2 >::FunctorType > | |
| itk::JoinImageFilter< TInputImage1, TInputImage2 > | Join two images, resulting in an image where each pixel has the components of the first image followed by the components of the second image |
| itk::ImageSource< Image< CovariantVector< TDataType, TInputImage::ImageDimension >, TInputImage::ImageDimension > > | |
| itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType, TInputImage::ImageDimension >, TInputImage::ImageDimension > > | |
| itk::DifferenceOfGaussiansGradientImageFilter< TInputImage, TDataType > | Performs difference-of-gaussians gradient detection |
| itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > > | |
| itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > > | |
| itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType > | This class takes as input one or more reference image (acquired in the absence of diffusion sensitizing gradients) and 'n' diffusion weighted images and their gradient directions and computes an image of tensors. (with DiffusionTensor3D as the pixel type). Once that is done, you can apply filters on this tensor image to compute FA, ADC, RGB weighted maps etc |
| itk::ImageSource< Image< IdentifierType, TInputImage::ImageDimension > > | |
| itk::ImageToImageFilter< TInputImage, Image< IdentifierType, TInputImage::ImageDimension > > | |
| itk::TobogganImageFilter< TInputImage > | Toboggan image segmentation The Toboggan segmentation takes a gradient magnitude image as input and produces an (over-)segmentation of the image based on connecting each pixel to a local minimum of gradient. It is roughly equivalent to a watershed segmentation of the lowest level |
| itk::WatershedImageFilter< TInputImage > | A low-level image analysis algorithm that automatically produces a hierarchy of segmented, labeled images from a scalar-valued image input |
| itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > > | |
| itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > > | |
| itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > | Performs Bayesian Classification on an image |
| itk::ImageSource< Image< TOutputPixelType, 2 > > | |
| itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > > | |
| itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType > | Performs the Hough Transform to find circles in a 2D image |
| itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType > | Performs the Hough Transform to find 2D straight lines in a 2D image |
| itk::ImageSource< Image< TOutputPixelType, TInputImage::ImageDimension > > | |
| itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > > | |
| itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > > | |
| itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > > | |
| itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > > | |
| itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType, TInputImage::ImageDimension > > | |
| itk::NarrowBandCurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in images based on user supplied edge potential map |
| itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in images based on intensity values |
| itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > > | |
| itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | A base class which defines the API for implementing a special class of image segmentation filters using level set methods |
| itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in images based on image features derived from pseudo-canny-edges |
| itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in images based on user supplied edge potential map |
| itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in images based on a user supplied edge potential map |
| itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in images based on a second derivative image features |
| itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in images based on a user supplied edge potential map |
| itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | A base class which defines the API for implementing a level set segmentation filter with statistical shape influence |
| itk::GeodesicActiveContourShapePriorLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in an image based on a user supplied edge potential map and user supplied shape model |
| itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in images based on intensity values |
| itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in images based on intensity values |
| itk::ImageSource< Image< TPixel, 3 > > | |
| itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > > | |
| itk::Hessian3DToVesselnessMeasureImageFilter< TPixel > | Line filter to provide a vesselness measure for tubular objects from the hessian matrix |
| itk::ImageSource< Image< TPixel, VImageDimension > > | |
| itk::ImportImageFilter< TPixel, VImageDimension > | Import data from a standard C array into an itk::Image |
| itk::ImageSource< ImageType > | |
| itk::ImageToImageFilter< FeatureImageType, ImageType > | |
| itk::InPlaceImageFilter< FeatureImageType, ImageType > | |
| itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > > | |
| itk::CastImageFilter< FeatureImageType, ImageType > | |
| itk::ImageToImageFilter< ImageType, ImageType > | |
| itk::CannyEdgeDetectionImageFilter< ImageType, ImageType > | |
| itk::DanielssonDistanceMapImageFilter< ImageType, ImageType > | |
| itk::ImageSource< TClassifiedImage > | |
| itk::ImageToImageFilter< TInputImage, TClassifiedImage > | |
| itk::MRFImageFilter< TInputImage, TClassifiedImage > | Implementation of a labeller object that uses Markov Random Fields to classify pixels in an image data set |
| itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage > | The RGBGibbsPriorFilter applies Gibbs Prior model for the segmentation of MRF images |
| itk::ImageSource< TDeformationField > | |
| itk::ImageToImageFilter< TMovingImage, TDeformationField > | |
| itk::fem::PhysicsBasedNonRigidRegistrationMethod< TFixedImage, TMovingImage, TMaskImage, TMesh, TDeformationField > | Perform a non-rigid registration of two 3D images using a set of feature points, block matching and linear elastic model |
| itk::ImageSource< TDisplacementField > | |
| itk::ImageToImageFilter< TDisplacementField, TDisplacementField > | |
| itk::InPlaceImageFilter< TDisplacementField, TDisplacementField > | |
| itk::FiniteDifferenceImageFilter< TDisplacementField, TDisplacementField > | |
| itk::DenseFiniteDifferenceImageFilter< TDisplacementField, TDisplacementField > | |
| itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField > | Deformably register two images using a PDE algorithm |
| itk::CurvatureRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField, TImageForceFunction > | Deformably register two images using the fast curvature algorithm |
| itk::DemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField > | Deformably register two images using the demons algorithm |
| itk::DiffeomorphicDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField > | Deformably register two images using a diffeomorphic demons algorithm |
| itk::FastSymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField > | Deformably register two images using a symmetric forces demons algorithm |
| itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField > | Deformably register two images using level set motion |
| itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField > | Deformably register two images using the demons algorithm |
| itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDisplacementField, TRealType > | Framework for performing multi-resolution PDE deformable registration |
| itk::ImageToImageFilter< TTimeVaryingVelocityField, TDisplacementField > | |
| itk::TimeVaryingVelocityFieldIntegrationImageFilter< TTimeVaryingVelocityField, TDisplacementField > | Integrate a time-varying velocity field using 4th order Runge-Kutta |
| itk::ImageSource< TEigenValueImage > | |
| itk::ImageToImageFilter< TInputImage, TEigenValueImage > | |
| itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage > | Computes pixel-wise the eigen values and eigen vectors of a 2D symmetrical matrix |
| itk::ImageSource< TFixedImage > | |
| itk::ImageToImageFilter< TMovingImage, TFixedImage > | |
| itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage, TFemObjectType > | FEM Image registration filter. The image registration problem is modelled here with the finite element method. Image registration is, in general, an ill-posed problem. Thus, we use an optimization scheme where the optimization criterion is given by a regularized variational energy. The variational energy arises from modeling the image as a physical body on which external forces act. The body is allowed to deform so as to minimize the applied force. The resistance of the physical body to deformation, determined by the physics associated with the body, serves to regularize the solution. The forces applied to the body are, generally, highly non-linear and so the body is allowed to deform slowly and incrementally. The direction it deforms follows the gradient of the potential energy (the force) we define. The potential energies we may choose from are given by the itk image-to-image metrics. The choices and the associated direction of descent are : Mean Squares (minimize), Normalized Cross-Correlation (maximize), and Mutual Information (maximize). Note that we have to set the direction (SetDescentDirection) when we choose a metric |
| itk::ImageSource< TImage > | |
| itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramEntropyFunction< SizeValueType, TImage::PixelType > > | |
| itk::HistogramToEntropyImageFilter< THistogram, TImage > | The class takes a histogram as an input and gives the entropy image as the output. A pixel, at position I, in the output image is given by |
| itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramIntensityFunction< SizeValueType, TImage::PixelType > > | |
| itk::HistogramToIntensityImageFilter< THistogram, TImage > | The class takes a histogram as an input and produces an image as the output. A pixel, at position I, in the output image is given by |
| itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramLogProbabilityFunction< SizeValueType, TImage::PixelType > > | |
| itk::HistogramToLogProbabilityImageFilter< THistogram, TImage > | The class takes a histogram as an input and gives the log probability image as the output. A pixel, at position I, in the output image is given by |
| itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramProbabilityFunction< SizeValueType, TImage::PixelType > > | |
| itk::HistogramToProbabilityImageFilter< THistogram, TImage > | The class takes a histogram as an input and gives the probability image as the output. A pixel, at position I, in the output image is given by |
| itk::ImageToImageFilter< TImage, TImage > | |
| itk::ImageAndPathToImageFilter< TImage, ParametricPath< 2 >, TImage > | |
| itk::ExtractOrthogonalSwath2DImageFilter< TImage > | Extracts into rectangular form a "swath" image from the input image along the parametric path |
| itk::InPlaceImageFilter< TImage, TImage > | |
| itk::ThresholdImageFilter< TImage > | Set image values to a user-specified value if they are below, above, or between simple threshold values |
| itk::UnaryFunctorImageFilter< TImage, TImage, Functor::BinaryNot< TImage::PixelType > > | |
| itk::BinaryNotImageFilter< TImage > | Implements the BinaryNot logical operator pixel-wise between two images |
| itk::CheckerBoardImageFilter< TImage > | Combines two images in a checkerboard pattern |
| itk::FFTComplexToComplexImageFilter< TImage > | Implements an API to enable the Fourier transform or the inverse Fourier transform of images with complex valued voxels to be computed |
| itk::FFTWComplexToComplexImageFilter< TImage > | Implements an API to enable the Fourier transform or the inverse Fourier transform of images with complex valued voxels to be computed using either FFTW from MIT or the FFTW interface in Intel MKL. This filter is multithreaded and supports input images with sizes which are not a power of two |
| itk::FlipImageFilter< TImage > | Flips an image across user specified axes |
| itk::PermuteAxesImageFilter< TImage > | Permutes the image axes according to a user specified order |
| itk::VotingBinaryIterativeHoleFillingImageFilter< TImage > | Fills in holes and cavities by iteratively applying a voting operation |
| itk::LabelMapFilter< TImage, TImage > | |
| itk::InPlaceLabelMapFilter< TImage > | |
| itk::AttributeRelabelLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > > | |
| itk::RelabelLabelMapFilter< TImage > | This filter relabels the LabelObjects; the new labels are arranged consecutively with consideration for the background value |
| itk::AttributeSelectionLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > > | |
| itk::LabelSelectionLabelMapFilter< TImage > | Remove the objects according to the value of their attribute |
| itk::AttributeUniqueLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > > | |
| itk::LabelUniqueLabelMapFilter< TImage > | Make sure that the objects are not overlapping |
| itk::AggregateLabelMapFilter< TImage > | Collapses all labels into the first label |
| itk::AttributeKeepNObjectsLabelMapFilter< TImage, TAttributeAccessor > | Keep N objects according to their attribute value |
| itk::AttributeOpeningLabelMapFilter< TImage, TAttributeAccessor > | Remove the objects according to the value of their attribute |
| itk::AttributePositionLabelMapFilter< TImage, TAttributeAccessor, VPhysicalPosition > | Mark a single pixel in the label object which correspond to a position given by an attribute |
| itk::AttributeRelabelLabelMapFilter< TImage, TAttributeAccessor > | Relabel objects according to their shape attributes |
| itk::AttributeSelectionLabelMapFilter< TImage, TAttributeAccessor > | Remove the objects according to the value of their attribute |
| itk::AttributeUniqueLabelMapFilter< TImage, TAttributeAccessor > | Make sure that the objects are not overlapping |
| itk::BinaryReconstructionLabelMapFilter< TImage, TMarkerImage, TAttributeAccessor > | Mark the objects at least partially at the same position as the objects in a binary image |
| itk::ChangeLabelLabelMapFilter< TImage > | Replace the label Ids of selected LabelObjects with new label Ids |
| itk::MergeLabelMapFilter< TImage > | Merges several Label Maps |
| itk::ShapeKeepNObjectsLabelMapFilter< TImage > | Keep N objects according to their shape attributes |
| itk::StatisticsKeepNObjectsLabelMapFilter< TImage > | Keep N objects according to their statistics attributes |
| itk::ShapeLabelMapFilter< TImage, TLabelImage > | The valuator class for the ShapeLabelObject |
| itk::ShapeOpeningLabelMapFilter< TImage > | Remove objects according to the value of their shape attribute |
| itk::StatisticsOpeningLabelMapFilter< TImage > | Remove the objects according to the value of their statistics attribute |
| itk::ShapePositionLabelMapFilter< TImage > | Mark a single pixel in the label object which correspond to a position given by an attribute |
| itk::StatisticsPositionLabelMapFilter< TImage > | Mark a single pixel in the label object which correspond to a position given by an attribute |
| itk::ShapeRelabelLabelMapFilter< TImage > | Relabels objects according to their shape attributes |
| itk::StatisticsRelabelLabelMapFilter< TImage > | Relabel objects according to their shape attributes |
| itk::ShapeUniqueLabelMapFilter< TImage > | Remove some pixels in the label object according to the value of their shape attribute to ensure that a pixel is not in to objects |
| itk::StatisticsUniqueLabelMapFilter< TImage > | Remove some pixels in the label object according to the value of their statistics attribute to ensure that a pixel is not in to objects |
| itk::ShiftScaleLabelMapFilter< TImage > | Shifts and scales a label map filter, giving the option to change the background value |
| itk::ShapeLabelMapFilter< TImage, Image< TImage::PixelType, TImage::ImageDimension > > | |
| itk::StatisticsLabelMapFilter< TImage, TFeatureImage > | The valuator class for the ShapeLabelObject |
| itk::HistogramToImageFilter< THistogram, TImage, TFunction > | This class takes a histogram as an input and returns an image of type specified by the functor |
| itk::ImageSource< TImageType > | |
| itk::ImageToImageFilter< TImageType, TImageType > | |
| itk::BoxImageFilter< TImageType, TImageType > | |
| itk::AdaptiveHistogramEqualizationImageFilter< TImageType > | Power Law Adaptive Histogram Equalization |
| itk::InPlaceImageFilter< TImageType, TImageType > | |
| itk::Testing::HashImageFilter< TImageType > | Generates a md5 hash string from an image |
| itk::PipelineMonitorImageFilter< TImageType > | Enables monitoring, recording and debugging of the pipeline execution and information exchange |
| itk::ImageSource< TInputImage > | |
| itk::ImageToImageFilter< TInputImage, TInputImage > | |
| itk::BinaryFillholeImageFilter< TInputImage > | Remove holes not connected to the boundary of the image |
| itk::BinaryGrindPeakImageFilter< TInputImage > | Remove the objects not connected to the boundary of the image |
| itk::BinaryReconstructionByDilationImageFilter< TInputImage > | Binary reconstruction by dilation of an image |
| itk::BinaryReconstructionByErosionImageFilter< TInputImage > | Binary reconstruction by erosion of an image |
| itk::BinaryShapeKeepNObjectsImageFilter< TInputImage > | Keep N objects according to their shape attributes |
| itk::BinaryShapeOpeningImageFilter< TInputImage > | Remove objects based on the value of their shape attribute |
| itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage > | Keep N objects according to their statistics attributes |
| itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage > | Remove objects based on the value of their Statistics attribute |
| itk::ChangeInformationImageFilter< TInputImage > | Change the origin, spacing and/or region of an Image |
| itk::FullToHalfHermitianImageFilter< TInputImage > | Reduces the size of a full complex image produced from a forward discrete Fourier transform of a real image to only the non-redundant half of the image |
| itk::HalfToFullHermitianImageFilter< TInputImage > | Expands a half image produced from a real-to-complex discrete Fourier transform (DFT) to the full complex image |
| itk::LabelShapeKeepNObjectsImageFilter< TInputImage > | Keep N objects according to their shape attributes |
| itk::LabelShapeOpeningImageFilter< TInputImage > | Remove the objects according to the value of their shape attribute |
| itk::LabelStatisticsImageFilter< TInputImage, TLabelImage > | Given an intensity image and a label map, compute min, max, variance and mean of the pixels associated with each label or segment |
| itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage > | Keep N objects according to their statistics attributes |
| itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage > | Remove the objects according to the value of their statistics attribute |
| itk::MinimumMaximumImageFilter< TInputImage > | Computes the minimum and the maximum intensity values of an image |
| itk::ShapeRelabelImageFilter< TInputImage > | Relabel objects according to their shape attributes |
| itk::StatisticsImageFilter< TInputImage > | Compute min. max, variance and mean of an Image |
| itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage > | Relabel objects according to their shape attributes |
| itk::LabelMapFilter< TInputImage, TInputImage > | |
| itk::InPlaceLabelMapFilter< TInputImage > | Base class for filters that takes an image as input and overwrites that image as the output |
| itk::ChangeRegionLabelMapFilter< TInputImage > | Change the region of a label map |
| itk::AutoCropLabelMapFilter< TInputImage > | Crop a LabelMap image to fit exactly the objects in the LabelMap |
| itk::CropLabelMapFilter< TInputImage > | Crop a LabelMap image |
| itk::PadLabelMapFilter< TInputImage > | Pad a LabelMap image |
| itk::RegionFromReferenceLabelMapFilter< TInputImage > | Set the region from a reference image |
| itk::ImageSource< TInputImage1 > | |
| itk::ImageToImageFilter< TInputImage1, TInputImage1 > | |
| itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 > | Computes the directed Mean distance between the boundaries of non-zero pixel regions of two images |
| itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 > | Computes the Mean distance between the boundaries of non-zero regions of two images |
| itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 > | Computes the directed Hausdorff distance between the set of non-zero pixels of two images |
| itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 > | Computes the Hausdorff distance between the set of non-zero pixels of two images |
| itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 > | Measures the similarity between the set of non-zero pixels of two images |
| itk::ImageSource< TIntensityImage > | |
| itk::ImageToImageFilter< TLabelImage, TIntensityImage > | |
| itk::LabelGeometryImageFilter< TLabelImage, TIntensityImage > | Given a label map and an optional intensity image, compute geometric features |
| itk::ImageSource< TLabelImage > | |
| itk::ImageToImageFilter< TInputImage, TLabelImage > | |
| itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage > | Morphological watershed transform from markers |
| itk::ImageToImageFilter< TLabelImage, TLabelImage > | |
| itk::LabelOverlapMeasuresImageFilter< TLabelImage > | Computes overlap measures between the set same set of labels of pixels of two images. Background is assumed to be 0 |
| itk::ImageSource< TLevelSet > | |
| itk::ImageToImageFilter< TLevelSet, TLevelSet > | |
| itk::ReinitializeLevelSetImageFilter< TLevelSet > | Reinitialize the level set to the signed distance function |
| itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension > | Extend velocities smoothly from a particular level set |
| itk::ImageToImageFilter< TSpeedImage, TLevelSet > | |
| itk::FastMarchingImageFilter< TLevelSet, TSpeedImage > | Solve an Eikonal equation using Fast Marching |
| itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage > | Extend auxiliary variables smoothly using Fast Marching |
| itk::FastMarchingUpwindGradientImageFilter< TLevelSet, TSpeedImage > | Generates the upwind gradient field of fast marching arrival times |
| itk::ImageSource< TOutputImageType > | |
| itk::ImageToImageFilter< TInputImage, TOutputImageType > | |
| itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType, TOutputImageType > | Computes the gradient of an image using directional derivatives |
| itk::ImageSource< TSparseOutputImage > | |
| itk::ImageToImageFilter< TInputImage, TSparseOutputImage > | |
| itk::InPlaceImageFilter< TInputImage, TSparseOutputImage > | |
| itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage > | |
| itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage > | |
| itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage > | This class implements the filter for computing the normal vectors from a scalar implicit function (i.e. a levelset image) and processing them |
| itk::ImageSource< TSparseOutputImageType > | |
| itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType > | |
| itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType > | |
| itk::FiniteDifferenceImageFilter< TInputImageType, TSparseOutputImageType > | |
| itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType > | This class implements a multi-threaded base class for Image to SparseImage finite difference processes |
| itk::ImageSource< VectorImage< TInputImage::InternalPixelType, TInputImage::ImageDimension > > | |
| itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType, TInputImage::ImageDimension > > | |
| itk::ImageToVectorImageFilter< TInputImage > | This class is deprecated. You should use itkComposeImageFilter instead |
| itk::ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > > | |
| itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > > | |
| itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType > | This filter is intended to be used as a helper class to initialize the BayesianClassifierImageFilter |
| itk::ImageSource< TOutputImage > | Base class for all process objects that output image data |
| itk::ImageToImageFilter< TDisplacementField, TOutputImage > | |
| itk::GridForwardWarpImageFilter< TDisplacementField, TOutputImage > | Warps a grid using an input deformation field |
| itk::ImageToImageFilter< TFeatureImage, TOutputImage > | |
| itk::InPlaceImageFilter< TFeatureImage, TOutputImage > | |
| itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFiniteDifferenceFunction, TIdCell > | |
| itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell > | |
| itk::MultiphaseDenseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell > | |
| itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell > | This class implements a finite difference partial differential equation solver for evolving surfaces embedded in volumes as level-sets |
| itk::ScalarChanAndVeseSparseLevelSetImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TSharedData, TIdCell > | Sparse implementation of the Chan and Vese multiphase level set image filter |
| itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, unsigned int > | |
| itk::MultiphaseDenseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction > | |
| itk::ScalarChanAndVeseDenseLevelSetImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TSharedData > | Dense implementation of the Chan and Vese multiphase level set image filter |
| itk::ImageToImageFilter< TInputImage1, TOutputImage > | |
| itk::InPlaceImageFilter< TInputImage1, TOutputImage > | |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AbsoluteValueDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::AbsoluteValueDifferenceImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements pixel-wise the computation of absolute value difference |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Add2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::AddImageFilter< TInputImage1, TInputImage2, TOutputImage > | Pixel-wise addition of two images |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AND< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::AndImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements the AND bitwise operator pixel-wise between two images |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Atan2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::Atan2ImageFilter< TInputImage1, TInputImage2, TOutputImage > | Computes two argument inverse tangent |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueAddition< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::ConstrainedValueAdditionImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements pixel-wise the computation of constrained value addition |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueDifference< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::ConstrainedValueDifferenceImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements pixel-wise the computation of constrained value difference |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Div< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::DivideImageFilter< TInputImage1, TInputImage2, TOutputImage > | Pixel-wise division of two images |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::DivideOrZeroOut< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::DivideOrZeroOutImageFilter< TInputImage1, TInputImage2, TOutputImage > | |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::MagnitudeAndPhaseToComplex< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType::value_type > > | |
| itk::MagnitudeAndPhaseToComplexImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements pixel-wise conversion of magnitude and phase data into complex voxels |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Maximum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::MaximumImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements a pixel-wise operator Max(a,b) between two images |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Minimum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::MinimumImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements a pixel-wise operator Min(a,b) between two images |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Modulus2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::BinaryMagnitudeImageFilter< TInputImage1, TInputImage2, TOutputImage > | Computes the square root of the sum of squares of corresponding input pixels |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Modulus< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::ModulusImageFilter< TInputImage1, TInputImage2, TOutputImage > | Computes the modulus (x % dividend) pixel-wise |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Mult< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::MultiplyImageFilter< TInputImage1, TInputImage2, TOutputImage > | Pixel-wise multiplication of two images |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::OR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::OrImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements the OR bitwise operator pixel-wise between two images |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Pow< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::PowImageFilter< TInputImage1, TInputImage2, TOutputImage > | Computes the powers of 2 images |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::SquaredDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::SquaredDifferenceImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements pixel-wise the computation of squared difference |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Sub2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::SubtractImageFilter< TInputImage1, TInputImage2, TOutputImage > | Pixel-wise subtraction of two images |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::WeightedAdd2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::WeightedAddImageFilter< TInputImage1, TInputImage2, TOutputImage > | Computes a weighted sum of two images pixel-wise |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::XOR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > > | |
| itk::XorImageFilter< TInputImage1, TInputImage2, TOutputImage > | Computes the XOR bitwise operator pixel-wise between two images |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction > | Implements pixel-wise generic operation of two images, or of an image and a constant |
| itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction > | Implements pixel-wise generic operation of three images |
| itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Functor::Add3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > > | |
| itk::TernaryAddImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage > | Pixel-wise addition of three images |
| itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Functor::Modulus3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > > | |
| itk::TernaryMagnitudeImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage > | Pixel-wise addition of three images |
| itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Functor::ModulusSquare3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > > | |
| itk::TernaryMagnitudeSquaredImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage > | Pixel-wise addition of three images |
| itk::ImageToImageFilter< TLabelImage, TOutputImage > | |
| itk::InPlaceImageFilter< TLabelImage, TOutputImage > | |
| itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > > | |
| itk::LabelToRGBImageFilter< TLabelImage, TOutputImage > | Apply a colormap to a label image |
| itk::ImageToImageFilter< TLabelMap, TOutputImage > | |
| itk::LabelMapFilter< TLabelMap, TOutputImage > | |
| itk::LabelMapContourOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage > | Apply a colormap to the contours (outlines) of each object in a label map and superimpose it on top of the feature image |
| itk::LabelMapOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage > | Apply a colormap to a label map and superimpose it on an image |
| itk::DeformationFieldSource< TOutputImage > | Computes a deformation field from two sets of landmarks |
| itk::GenerateImageSource< TOutputImage > | Base class for image sources which need to have image size, and other meta-data set |
| itk::GaborImageSource< TOutputImage > | Generate an n-dimensional image of a Gabor filter |
| itk::GridImageSource< TOutputImage > | Generate an n-dimensional image of a grid |
| itk::ParametricImageSource< TOutputImage > | Base class for all parametric image sources |
| itk::GaussianImageSource< TOutputImage > | Generate an n-dimensional image of a Gaussian |
| itk::PhysicalPointImageSource< TOutputImage > | Generate an image of the physical locations of each pixel |
| itk::ImageFileReader< TOutputImage, ConvertPixelTraits > | Data source that reads image data from a single file |
| itk::ImageSeriesReader< TOutputImage > | Data source that reads image data from a series of disk files |
| itk::ImageToImageFilter< TInputImage, TOutputImage > | Base class for filters that take an image as input and produce an image as output |
| itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > > | |
| itk::AreaOpeningImageFilter< TInputImage, TOutputImage, TAttribute > | Morphological opening by attributes |
| itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > > | |
| itk::AreaClosingImageFilter< TInputImage, TOutputImage, TAttribute > | Morphological closing by attributes |
| itk::ConvolutionImageFilterBase< TInputImage, TKernelSource::OutputImageType, TOutputImage > | |
| itk::FFTConvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage, double > | |
| itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage > | |
| itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage > | Least-squares blind deconvolution filter that also estimates the parameters of a user-supplied parametric point-spread function |
| itk::AccumulateImageFilter< TInputImage, TOutputImage > | Implements an accumulation of an image along a selected direction |
| itk::GetAverageSliceImageFilter< TInputImage, TOutputImage > | Averages a single dimension of an image |
| itk::ApproximateSignedDistanceMapImageFilter< TInputImage, TOutputImage > | Create a map of the approximate signed distance from the boundaries of a binary image |
| itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction > | Morphological opening by attributes |
| itk::BilateralImageFilter< TInputImage, TOutputImage > | Blurs an image while preserving edges |
| itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage > | Label the connected components in a binary image and produce a collection of label objects |
| itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage > | Converts a binary image to a label map and valuate the shape attributes |
| itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage > | Convenient class to convert a binary image to a label map and valuate the statistics attributes at once |
| itk::BinaryMedianImageFilter< TInputImage, TOutputImage > | Applies a version of the median filter optimized for binary images |
| itk::BinaryPruningImageFilter< TInputImage, TOutputImage > | This filter removes "spurs" of less than a certain length in the input image |
| itk::BinaryThinningImageFilter< TInputImage, TOutputImage > | This filter computes one-pixel-wide edges of the input image |
| itk::BinomialBlurImageFilter< TInputImage, TOutputImage > | Performs a separable blur on each dimension of an image |
| itk::BoxImageFilter< TInputImage, TOutputImage > | A base class for all the filters working on a box neighborhood |
| itk::BoxMeanImageFilter< TInputImage, TOutputImage > | Implements a fast rectangular mean filter using the accumulator approach |
| itk::BoxSigmaImageFilter< TInputImage, TOutputImage > | Implements a fast rectangular sigma filter using the accumulator approach |
| itk::KernelImageFilter< TInputImage, TOutputImage, TKernel > | A base class for all the filters working on an arbitrary shaped neighborhood |
| itk::BinaryMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel > | Binary morphological closing of an image |
| itk::BinaryMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel > | Binary morphological opening of an image |
| itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel > | Base class for fast binary dilation and erosion |
| itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel > | Fast binary dilation |
| itk::FastIncrementalBinaryDilateImageFilter< TInputImage, TOutputImage, TKernel > | Fast binary dilation |
| itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel > | Fast binary erosion |
| itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel > | Black top hat extract local minima that are smaller than the structuring element |
| itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale dilation of an image |
| itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale dilation of an image |
| itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale dilation of an image |
| itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale dilation of an image |
| itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale dilation of an image |
| itk::MorphologyImageFilter< TInputImage, TOutputImage, TKernel > | Base class for the morphological operations such as erosion and dialation |
| itk::BasicDilateImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale dilation of an image |
| itk::BasicErodeImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale erosion of an image |
| itk::GrayscaleFunctionDilateImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale function dilation of an image |
| itk::GrayscaleFunctionErodeImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale function erosion of an image |
| itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel > | Implements a generic moving histogram algorithm |
| itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram > | |
| itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram > | Implements a generic moving histogram algorithm |
| itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram > | Base class for MovingHistogramDilateImageFilter and MovingHistogramErodeImageFilter |
| itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, Function::RankHistogram< TInputImage::PixelType > > | |
| itk::MaskedRankImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel > | Rank filter of a greyscale image |
| itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologicalGradientHistogram< TInputImage::PixelType > > | |
| itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel > | Morphological gradients enhance the variation of pixel intensity in a given neighborhood |
| itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > > | |
| itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > > | |
| itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale dilation of an image |
| itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > > | |
| itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > > | |
| itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale erosion of an image |
| itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::RankHistogram< TInputImage::PixelType > > | |
| itk::RankImageFilter< TInputImage, TOutputImage, TKernel > | Rank filter of a greyscale image |
| itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel > | White top hat extract local maxima that are larger than the structuring element |
| itk::MeanImageFilter< TInputImage, TOutputImage > | Applies an averaging filter to an image |
| itk::GPUImageToImageFilter< TInputImage, TOutputImage, MeanImageFilter< TInputImage, TOutputImage > > | |
| itk::GPUBoxImageFilter< TInputImage, TOutputImage, MeanImageFilter< TInputImage, TOutputImage > > | |
| itk::GPUMeanImageFilter< TInputImage, TOutputImage > | GPU-enabled implementation of the MeanImageFilter |
| itk::MedianImageFilter< TInputImage, TOutputImage > | Applies a median filter to an image |
| itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter > | A separable filter for filter which are using radius |
| itk::NoiseImageFilter< TInputImage, TOutputImage > | Calculate the local noise in an image |
| itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage > | Computes an image of contours which will be the contour of the first image |
| itk::KernelImageFilter< TImage, TImage, TKernel > | |
| itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::greater< TImage::PixelType > > | |
| itk::AnchorDilateImageFilter< TImage, TKernel > | |
| itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::less< TImage::PixelType > > | |
| itk::AnchorErodeImageFilter< TImage, TKernel > | |
| itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::greater< TImage::PixelType >, std::less< TImage::PixelType > > | |
| itk::AnchorCloseImageFilter< TImage, TKernel > | |
| itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::less< TImage::PixelType >, std::greater< TImage::PixelType > > | |
| itk::AnchorOpenImageFilter< TImage, TKernel > | |
| itk::AnchorErodeDilateImageFilter< TImage, TKernel, TFunction1 > | Class to implement erosions and dilations using anchor methods. This is the base class that must be instantiated with appropriate definitions of greater, less and so on. The SetBoundary facility isn't necessary for operation of the anchor method but is included for compatibility with other morphology classes in itk |
| itk::AnchorOpenCloseImageFilter< TImage, TKernel, TCompare1, TCompare2 > | Class to implement openings and closings using anchor methods |
| itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, TFunction1 > | Class to implement erosions and dilations using anchor methods. This is the base class that must be instantiated with appropriate definitions of greater, less and so on. The SetBoundary facility isn't necessary for operation of the anchor method but is included for compatibility with other morphology classes in itk |
| itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MaxFunctor< TImage::PixelType > > | |
| itk::VanHerkGilWermanDilateImageFilter< TImage, TKernel > | |
| itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MinFunctor< TImage::PixelType > > | |
| itk::VanHerkGilWermanErodeImageFilter< TImage, TKernel > | |
| itk::KernelImageFilter< TInputImage, TInputImage, TKernel > | |
| itk::BinaryClosingByReconstructionImageFilter< TInputImage, TKernel > | Binary closing by reconstruction of an image |
| itk::BinaryOpeningByReconstructionImageFilter< TInputImage, TKernel > | Binary morphological closing of an image |
| itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< TInputImage::ImageDimension > > > | |
| itk::FastApproximateRankImageFilter< TInputImage, TOutputImage > | A separable rank filter |
| itk::BSplineControlPointImageFilter< TInputImage, TOutputImage > | Process a given a B-spline grid of control points |
| itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage > | Calculates the B-Spline coefficients of an image. Spline order may be from 0 to 5 |
| itk::BSplineResampleImageFilterBase< TInputImage, TOutputImage > | Uses the "l2" spline pyramid implementation of B-Spline Filters to up/down sample an image by a factor of 2 |
| itk::BSplineCenteredResampleImageFilterBase< TInputImage, TOutputImage > | Evaluates the Centered B-Spline interpolation of an image. Spline order may be from 0 to 5 |
| itk::BSplineCenteredL2ResampleImageFilterBase< TInputImage, TOutputImage > | |
| itk::BSplineL2ResampleImageFilterBase< TInputImage, TOutputImage > | Uses the "Centered l2" B-Spline pyramid implementation of B-Spline Filters to up/down sample an image by a factor of 2 |
| itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage > | This filter is an implementation of a Canny edge detector for scalar-valued images. Based on John Canny's paper "A Computational Approach
to Edge Detection"(IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-8, No.6, November 1986), there are four major steps used in the edge-detection scheme: (1) Smooth the input image with Gaussian filter. (2) Calculate the second directional derivatives of the smoothed image. (3) Non-Maximum Suppression: the zero-crossings of 2nd derivative are found, and the sign of third derivative is used to find the correct extrema. (4) The hysteresis thresholding is applied to the gradient magnitude (multiplied with zero-crossings) of the smoothed image to find and link edges |
| itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel > | Closing by reconstruction of an image |
| itk::CollidingFrontsImageFilter< TInputImage, TOutputImage > | Selects a region of space where two independent fronts run towards each other |
| itk::ComposeDisplacementFieldsImageFilter< TInputImage, TOutputImage > | Compose two displacement fields |
| itk::ComposeImageFilter< TInputImage, TOutputImage > | ComposeImageFilter combine several scalar images into a multicomponent image |
| itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage > | Segment pixels with similar statistics using connectivity |
| itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage > | Label the objects in a binary image |
| itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarPixelsFunctor< TInputImage::ValueType >, TMaskImage > | |
| itk::ScalarConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage > | A connected components filter that labels the objects in an arbitrary image. Two pixels are similar if they are within threshold of each other. Uses ConnectedComponentFunctorImageFilter |
| itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarVectorsFunctor< TInputImage::ValueType >, TMaskImage > | |
| itk::VectorConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage > | A connected components filter that labels the objects in a vector image. Two vectors are pointing similar directions if one minus their dot product is less than a threshold. Vectors that are 180 degrees out of phase are similar. Assumes that vectors are normalized |
| itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, TFunctor, TMaskImage > | A generic connected components filter that labels the objects in an artibitrary image |
| itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage > | Label pixels that are connected to a seed and lie within a range of values |
| itk::ConvolutionImageFilterBase< TInputImage, TKernelImage, TOutputImage > | Abstract base class for the convolution image filters |
| itk::ConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage > | Convolve a given image with an arbitrary image kernel |
| itk::FFTConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > | Convolve a given image with an arbitrary image kernel using multiplication in the Fourier domain |
| itk::InverseDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > | The direct linear inverse deconvolution filter |
| itk::TikhonovDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > | An inverse deconvolution filter regularized in the Tikhonov sense |
| itk::WienerDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > | The Wiener deconvolution image filter is designed to restore an image convolved with a blurring kernel while keeping noise enhancement to a minimum |
| itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > | Abstract base class for filters that implement iterative deconvolution algorithms |
| itk::LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > | Deconvolve an image using the Landweber deconvolution algorithm |
| itk::ProjectedIterativeDeconvolutionImageFilter< LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > > | |
| itk::ProjectedLandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > | Deconvolve an image using the projected Landweber deconvolution algorithm |
| itk::RichardsonLucyDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > | Deconvolve an image using the Richardson-Lucy deconvolution algorithm |
| itk::CyclicShiftImageFilter< TInputImage, TOutputImage > | Perform a cyclic spatial shift of image intensities on the image grid |
| itk::FFTShiftImageFilter< TInputImage, TOutputImage > | Shift the zero-frequency components of a Fourier transfrom to the center of the image |
| itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage > | This filter computes the distance map of the input image as an approximation with pixel accuracy to the Euclidean distance |
| itk::DerivativeImageFilter< TInputImage, TOutputImage > | Computes the directional derivative of an image. The directional derivative at each pixel location is computed by convolution with a derivative operator of user-specified order |
| itk::DirectFourierReconstructionImageToImageFilter< TInputImage, TOutputImage > | Direct fourier reconstruction filter of a tomographic volume |
| itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage > | Calculates image derivatives using discrete derivative gaussian kernels. This filter calculates Gaussian derivative by separable convolution of an image and a discrete Gaussian derivative operator (kernel) |
| itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage > | Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel) |
| itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > > | |
| itk::GPUDiscreteGaussianImageFilter< TInputImage, TOutputImage > | Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). GPUNeighborhoodOperatorImageFilter is used to compute 1D directional discrete Gaussian filtering for each axis |
| itk::DisplacementFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage > | Computes a scalar image from a vector image (e.g., deformation field) input, where each output scalar at each pixel is the Jacobian determinant of the vector field at that location. This calculation is correct in the case where the vector image is a "displacement" from the current location. The computation for the jacobian determinant is: det[ dT/dx ] = det[ I + du/dx ] |
| itk::DeformationFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage > | Computes a scalar image from a vector image (e.g., deformation field) input, where each output scalar at each pixel is the Jacobian determinant of the vector field at that location. This calculation is only correct if the the vector field has values that are the absolute locations from which to get the new values. This implies that the identity vector field (VF) mapping would have values at each location (x) equal to the location itself. VF(x)=x. THIS IS VERY UNUSUAL. The DeformationFieldJacobianDeterminantFilter computes the proper Jacobian Determinant for a vector field described this way as det[ dT/dx ] = det[ du/dx ] |
| itk::DisplacementFieldToBSplineImageFilter< TInputImage, TOutputImage > | Class which takes a displacement field image and smooths it using B-splines. The inverse can also be estimated |
| itk::DoubleThresholdImageFilter< TInputImage, TOutputImage > | Binarize an input image using double thresholding |
| itk::ExpandImageFilter< TInputImage, TOutputImage > | Expand the size of an image by an integer factor in each dimension |
| itk::ExponentialDeformationFieldImageFilter< TInputImage, TOutputImage > | Computes a diffeomorphic deformation field as the Lie group exponential of a vector field |
| itk::ExponentialDisplacementFieldImageFilter< TInputImage, TOutputImage > | Computes a diffeomorphic displacement field as the Lie group exponential of a vector field |
| itk::FastChamferDistanceImageFilter< TInputImage, TOutputImage > | This class compute the signed (positive and negative) chamfer distance in a narrow band |
| itk::ForwardFFTImageFilter< TInputImage, TOutputImage > | Base class for forward Fast Fourier Transform |
| itk::FFTWForwardFFTImageFilter< TInputImage, TOutputImage > | FFTW-based forward Fast Fourier Transform |
| itk::VnlForwardFFTImageFilter< TInputImage, TOutputImage > | VNL based forward Fast Fourier Transform |
| itk::GradientMagnitudeImageFilter< TInputImage, TOutputImage > | Computes the gradient magnitude of an image region at each pixel |
| itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage > | Computes the gradient of an image by convolution with the first derivative of a Gaussian |
| itk::GradientVectorFlowImageFilter< TInputImage, TOutputImage, TInternalPixel > | This class computes a diffusion of the gradient vectors for graylevel or binary edge map derive from the image. It enlarges the capture range of the gradient force and make external force derived from the gradient work effectively in the framework of deformable model |
| itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage > | Enhance pixels associated with a dark object (identified by a seed pixel) where the dark object is surrounded by a brigher object |
| itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage > | Enhance pixels associated with a bright object (identified by a seed pixel) where the bright object is surrounded by a darker object |
| itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage > | Remove local minima not connected to the boundary of the image |
| itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage > | Geodesic gray scale dilation of an image |
| itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage > | Geodesic gray scale erosion of an image |
| itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage > | Remove local maxima not connected to the boundary of the image |
| itk::HalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage > | Base class for specialized complex-to-real inverse Fast Fourier Transform |
| itk::FFTWHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage > | FFTW-based reverse Fast Fourier Transform |
| itk::VnlHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage > | VNL-based reverse Fast Fourier Transform |
| itk::HardConnectedComponentImageFilter< TInputImage, TOutputImage > | |
| itk::HConcaveImageFilter< TInputImage, TOutputImage > | Identify local minima whose depth below the baseline is greater than h |
| itk::HConvexImageFilter< TInputImage, TOutputImage > | Identify local maxima whose height above the baseline is greater than h |
| itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage > | Computes the Hessian matrix of an image by convolution with the Second and Cross derivatives of a Gaussian |
| itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage > | A filter to enhance M-dimensional objects in N-dimensional images |
| itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement > | Normalize the grayscale values between two images by histogram matching |
| itk::HistogramThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using a HistogramThresholdCalculator |
| itk::HuangThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the Huang Threshold |
| itk::IntermodesThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the Intermodes Threshold |
| itk::IsoDataThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the IsoData Threshold |
| itk::KittlerIllingworthThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the KittlerIllingworth Threshold |
| itk::LiThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the Li Threshold |
| itk::MaximumEntropyThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the MaximumEntropy Threshold |
| itk::MomentsThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the Moments Threshold |
| itk::OtsuThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the Otsu Threshold |
| itk::RenyiEntropyThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the RenyiEntropy Threshold |
| itk::ShanbhagThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the Shanbhag Threshold |
| itk::TriangleThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the Triangle Threshold |
| itk::YenThresholdImageFilter< TInputImage, TOutputImage, TMaskImage > | Threshold an image using the Yen Threshold |
| itk::HMaximaImageFilter< TInputImage, TOutputImage > | Suppress local maxima whose height above the baseline is less than h |
| itk::HMinimaImageFilter< TInputImage, TOutputImage > | Suppress local minima whose depth below the baseline is less than h |
| itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage > | Base class for filters that take both a path and an image as input and produce a path as output |
| itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage > | Base class for statistical shape model estimation |
| itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage > | Base class for ImagePCAShapeModelEstimator object |
| itk::InPlaceImageFilter< TInputImage, TOutputImage > | Base class for filters that take an image as input and overwrite that image as the output |
| itk::BinaryFunctorImageFilter< TInputImage, Image< TConstant, TInputImage::ImageDimension >, TOutputImage, Functor::Add2< TInputImage::PixelType, Image< TConstant, TInputImage::ImageDimension >::PixelType, TOutputImage::PixelType > > | |
| itk::AddImageFilter< TInputImage, Image< TConstant, TInputImage::ImageDimension >, TOutputImage > | |
| itk::AddConstantToImageFilter< TInputImage, TConstant, TOutputImage > | This class is deprecated. All features of this class have been incorporated into the AddImageFilter. This class is a thin wrapper around the AddImageFilter that provides the ITKv3 API |
| itk::BinaryFunctorImageFilter< TInputImage, Image< TConstant, TInputImage::ImageDimension >, TOutputImage, Functor::Div< TInputImage::PixelType, Image< TConstant, TInputImage::ImageDimension >::PixelType, TOutputImage::PixelType > > | |
| itk::DivideImageFilter< TInputImage, Image< TConstant, TInputImage::ImageDimension >, TOutputImage > | |
| itk::DivideByConstantImageFilter< TInputImage, TConstant, TOutputImage > | This class is deprecated. All features of this class have been incorporated into the DivideImageFilter. This class is a thin wrapper around the DivideImageFilter that provides the ITKv3 API |
| itk::BinaryFunctorImageFilter< TInputImage, Image< TConstant, TInputImage::ImageDimension >, TOutputImage, Functor::Mult< TInputImage::PixelType, Image< TConstant, TInputImage::ImageDimension >::PixelType, TOutputImage::PixelType > > | |
| itk::MultiplyImageFilter< TInputImage, Image< TConstant, TInputImage::ImageDimension >, TOutputImage > | |
| itk::MultiplyByConstantImageFilter< TInputImage, TConstant, TOutputImage > | This class is deprecated. All features of this class have been incorporated into the MultiplyImageFilter. This class is a thin wrapper around the MultiplyImageFilter that provides the ITKv3 API |
| itk::BinaryFunctorImageFilter< TInputImage, Image< TConstant, TInputImage::ImageDimension >, TOutputImage, Functor::Sub2< TInputImage::PixelType, Image< TConstant, TInputImage::ImageDimension >::PixelType, TOutputImage::PixelType > > | |
| itk::SubtractImageFilter< TInputImage, Image< TConstant, TInputImage::ImageDimension >, TOutputImage > | |
| itk::SubtractConstantFromImageFilter< TInputImage, TConstant, TOutputImage > | This class is deprecated. All features of this class have been incorporated into the SubtractImageFilter. This class is a thin wrapper around the SubtractImageFilter that provides the ITKv3 API |
| itk::BinaryFunctorImageFilter< TInputImage, TLabelImage, TOutputImage, Functor::LabelOverlayFunctor< TInputImage::PixelType, TLabelImage::PixelType, TOutputImage::PixelType > > | |
| itk::LabelOverlayImageFilter< TInputImage, TLabelImage, TOutputImage > | Apply a colormap to a label image and put it on top of the input image |
| itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > > | |
| itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage > | Mask an image with a mask |
| itk::BinaryContourImageFilter< TInputImage, TOutputImage > | Labels the pixels on the border of the objects in a binary image |
| itk::ExtractImageFilter< TInputImage, TOutputImage > | Decrease the image size by cropping the image to the selected region bounds |
| itk::CropImageFilter< TInputImage, TOutputImage > | Decrease the image size by cropping the image by an itk::Size at both the upper and lower bounds of the largest possible region |
| itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage > | |
| itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage > | |
| itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::GradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::VectorCurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::CurvatureFlowImageFilter< TInputImage, TOutputImage > | Denoise an image using curvature driven flow |
| itk::MinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage > | Denoise an image using min/max curvature flow |
| itk::BinaryMinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage > | Denoise a binary image using min/max curvature flow |
| itk::NarrowBandImageFilterBase< TInputImage, TOutputImage > | This class implements a multi-threaded finite difference image to image solver that can be applied to an arbitrary list of pixels |
| itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage > | A base class which defines the API for implementing a special class of image segmentation filters using level set methods |
| itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage > | This class implements a finite difference partial differential equation solver for evolving surfaces embedded in volumes as level-sets |
| itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage > | This class implements a finite difference partial differential equation solver for evolving surfaces embedded in volumes as level-sets |
| itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage > | A method for estimation of a surface from a binary volume |
| itk::SparseFieldFourthOrderLevelSetImageFilter< TInputImage, TOutputImage > | This class implements the fourth order level set PDE framework |
| itk::AnisotropicFourthOrderLevelSetImageFilter< TInputImage, TOutputImage > | This class implements the 4th-order level set anisotropic diffusion (smoothing) PDE |
| itk::IsotropicFourthOrderLevelSetImageFilter< TInputImage, TOutputImage > | This class implements the 4th-order level set isotropic diffusion (smoothing) PDE |
| itk::UnsharpMaskLevelSetImageFilter< TInputImage, TOutputImage > | This class implements a detail enhancing filter by making use of the 4th-order level set isotropic diffusion (smoothing) PDE |
| itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage > | Computes the Magnitude of the Gradient of an image by convolution with the first derivative of a Gaussian |
| itk::LabelContourImageFilter< TInputImage, TOutputImage > | Labels the pixels on the border of the objects in a labeled image |
| itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction > | Perform a generic pixel-wise operation on N images |
| itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage > | Paste an image into another image |
| itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage > | Base class for recursive convolution with a kernel |
| itk::RecursiveGaussianImageFilter< TInputImage, TOutputImage > | Base class for computing IIR convolution with an approximation of a Gaussian kernel |
| itk::RelabelComponentImageFilter< TInputImage, TOutputImage > | Relabel the components in an image such that consecutive labels are used |
| itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage > | Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction > | Implements pixel-wise generic operation on one image |
| itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > > | |
| itk::NaryAddImageFilter< TInputImage, TOutputImage > | Pixel-wise addition of N images |
| itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > > | |
| itk::NaryMaximumImageFilter< TInputImage, TOutputImage > | Computes the pixel-wise maximum of several images |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Abs< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::AbsImageFilter< TInputImage, TOutputImage > | Computes the absolute value of each pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > > | |
| itk::AdaptImageFilter< TInputImage, TOutputImage, TAccessor > | Convert an image to another pixel type using the specified data accessor |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::AcosImageFilter< TInputImage, TOutputImage > | Computes the inverse cosine of each pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::AsinImageFilter< TInputImage, TOutputImage > | Computes the sine of each pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::AtanImageFilter< TInputImage, TOutputImage > | Computes the one-argument inverse tangent of each pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::BinaryThresholdImageFilter< TInputImage, TOutputImage > | Binarize an input image by thresholding |
| itk::GPUImageToImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > > | |
| itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > > | |
| itk::GPUUnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GPUBinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType >, BinaryThresholdImageFilter< TInputImage, TOutputImage > > | |
| itk::GPUBinaryThresholdImageFilter< TInputImage, TOutputImage > | GPU version of binary threshold image filter |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::BoundedReciprocalImageFilter< TInputImage, TOutputImage > | Computes 1/(1+x) for each pixel in the image |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::CastImageFilter< TInputImage, TOutputImage > | Casts input pixels to output pixel type |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::ChangeLabelImageFilter< TInputImage, TOutputImage > | Change Sets of Labels |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Clamp< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::ClampImageFilter< TInputImage, TOutputImage > | Casts input pixels to output pixel type and clamps the output pixel values to a specified range |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::ComplexToImaginaryImageFilter< TInputImage, TOutputImage > | Computes pixel-wise the imaginary part of a complex image |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::ComplexToModulusImageFilter< TInputImage, TOutputImage > | Computes pixel-wise the Modulus of a complex image |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::ComplexToPhaseImageFilter< TInputImage, TOutputImage > | Computes pixel-wise the modulus of a complex image |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::ComplexToRealImageFilter< TInputImage, TOutputImage > | Computes pixel-wise the real(x) part of a complex image |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::CosImageFilter< TInputImage, TOutputImage > | Computes the cosine of each pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::EdgePotentialImageFilter< TInputImage, TOutputImage > | Computes the edge potential of an image from the image gradient |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Exp< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::ExpImageFilter< TInputImage, TOutputImage > | Computes the exponential function of each pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::ExpNegativeImageFilter< TInputImage, TOutputImage > | Computes the function exp(-K.x) for each input pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::RescaleIntensityImageFilter< TInputImage, TOutputImage > | Applies a linear transformation to the intensity levels of the input Image |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::IntensityWindowingImageFilter< TInputImage, TOutputImage > | Applies a linear transformation to the intensity levels of the input Image that are inside a user-defined interval. Values below this interval are mapped to a constant. Values over the interval are mapped to another constant |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::InvertIntensityImageFilter< TInputImage, TOutputImage > | Invert the intensity of an image |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Log10< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::Log10ImageFilter< TInputImage, TOutputImage > | Computes the log10 of each pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Log< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::LogImageFilter< TInputImage, TOutputImage > | Computes the log() of each pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::MatrixIndexSelectionImageFilter< TInputImage, TOutputImage > | Extracts the selected indices of a matrix image that is the input pixel type |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::NotImageFilter< TInputImage, TOutputImage > | Implements the NOT logical operator pixel-wise on an image |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::RGBToLuminanceImageFilter< TInputImage, TOutputImage > | Converts an RGB image into a grayscale image |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Round< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::RoundImageFilter< TInputImage, TOutputImage > | Rounds the value of each pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::SigmoidImageFilter< TInputImage, TOutputImage > | Computes the sigmoid function pixel-wise |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Sin< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::SinImageFilter< TInputImage, TOutputImage > | Computes the sine of each pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::SqrtImageFilter< TInputImage, TOutputImage > | Computes the square root of each pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Square< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::SquareImageFilter< TInputImage, TOutputImage > | Computes the square of the intensity values pixel-wise |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::SymmetricEigenAnalysisImageFilter< TInputImage, TOutputImage > | Computes the eigen-values of every input symmetric matrix pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Tan< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::TanImageFilter< TInputImage, TOutputImage > | Computes the tangent of each input pixel |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > > | |
| itk::TensorFractionalAnisotropyImageFilter< TInputImage, TOutputImage > | Computes the Fractional Anisotropy for every pixel of a input tensor image |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > > | |
| itk::TensorRelativeAnisotropyImageFilter< TInputImage, TOutputImage > | Computes the Relative Anisotropy for every pixel of a input tensor image |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage > | Label an input image according to a set of thresholds |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::VectorCastImageFilter< TInputImage, TOutputImage > | Casts input vector pixels to output vector pixel type |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::VectorIndexSelectionCastImageFilter< TInputImage, TOutputImage > | Extracts the selected index of the vector that is the input pixel type |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitude< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::VectorMagnitudeImageFilter< TInputImage, TOutputImage > | Take an image of vectors as input and produce an image with the magnitude of those vectors |
| itk::GradientToMagnitudeImageFilter< TInputImage, TOutputImage > | This filter is here for backwards compatibility. It has been renamed to VectorMagnitudeImageFilter in the ImageIntensity module |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::VectorRescaleIntensityImageFilter< TInputImage, TOutputImage > | Applies a linear transformation to the magnitude of pixel vectors in a vector Image |
| itk::InterpolateImageFilter< TInputImage, TOutputImage > | Interpolate an image from two N-D images |
| itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType > | Resamples an image at the coordinates specified by the user |
| itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage > | Computes the inverse of a deformation field |
| itk::InverseDisplacementFieldImageFilter< TInputImage, TOutputImage > | Computes the inverse of a displacement field |
| itk::InverseFFTImageFilter< TInputImage, TOutputImage > | Base class for inverse Fast Fourier Transform |
| itk::FFTWInverseFFTImageFilter< TInputImage, TOutputImage > | FFTW-based inverse Fast Fourier Transform |
| itk::VnlInverseFFTImageFilter< TInputImage, TOutputImage > | VNL-based reverse Fast Fourier Transform |
| itk::InvertDisplacementFieldImageFilter< TInputImage, TOutputImage > | Iteratively estimate the inverse field of a displacement field |
| itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage > | Compute an approximate distance from an interpolated isocontour to the close grid points |
| itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage > | Label pixels that are connected to one set of seeds but not another |
| itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage > | Isolate watershed basins using two seeds |
| itk::IterativeInverseDeformationFieldImageFilter< TInputImage, TOutputImage > | Computes the inverse of a deformation field |
| itk::IterativeInverseDisplacementFieldImageFilter< TInputImage, TOutputImage > | Computes the inverse of a displacement field |
| itk::JoinSeriesImageFilter< TInputImage, TOutputImage > | Join N-D images into an (N+1)-D image |
| itk::KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage > | Threshold an image using multiple Otsu Thresholds |
| itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage > | Convert a labeled image to a label collection image |
| itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage > | Converts a label image to a label map and valuates the shape attributes |
| itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage > | Convenient class to convert a label image to a label map and valuate the statistics attributes at once |
| itk::LabelMapFilter< TInputImage, TOutputImage > | Base class for filters that take an image as input and overwrite that image as the output |
| itk::ConvertLabelMapFilter< TInputImage, TOutputImage > | Converts the LabelObjects of a LabelMap to a differente type of LabelObejct |
| itk::LabelMapMaskImageFilter< TInputImage, TOutputImage > | Mask and image with a LabelMap |
| itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage > | Convert a LabelMap to a binary image |
| itk::LabelMapToLabelImageFilter< TInputImage, TOutputImage > | Converts a LabelMap to a labeled image |
| itk::LabelMapToRGBImageFilter< TInputImage, TOutputImage > | Convert a LabelMap to a colored image |
| itk::ObjectByObjectLabelMapFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage > | ObjectByObjectLabelMapFilter applies an image pipeline to all the objects of a label map and produce a new label map |
| itk::LabelMapToAttributeImageFilter< TInputImage, TOutputImage, TAttributeAccessor > | Convert a LabelMap to a labeled image |
| itk::LabelVotingImageFilter< TInputImage, TOutputImage > | This filter performs pixelwise voting among an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image) |
| itk::LaplacianImageFilter< TInputImage, TOutputImage > | |
| itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage > | Computes the Laplacian of Gaussian (LoG) of an image |
| itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage > | This filter sharpens an image using a Laplacian. LaplacianSharpening highlights regions of rapid intensity change and therefore highlights or enhances the edges. The result is an image that appears more in focus |
| itk::LevelSetDomainMapImageFilter< TInputImage, TOutputImage > | |
| itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage > | Calculate masked normalized cross correlation using FFTs |
| itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage > | TODO |
| itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage > | Corrects 3D MRI bias field |
| itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights > | This filter performs a pixelwise combination of an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image) |
| itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage > | Framework for creating images in a multi-resolution pyramid |
| itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage > | Creates a multi-resolution pyramid using a recursive implementation |
| itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage > | A filter to enhance structures using Hessian eigensystem-based measures in a multiscale framework |
| itk::N4BiasFieldCorrectionImageFilter< TInputImage, TMaskImage, TOutputImage > | Implementation of the N4 bias field correction algorithm |
| itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage > | Label pixels that are connected to a seed and lie within a neighborhood |
| itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType > | Applies a single NeighborhoodOperator to an image region |
| itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType > | Applies a single NeighborhoodOperator to an image, processing only those pixels that are under a mask |
| itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType > | Computes the normalized correlation of an image and a template |
| itk::NormalizeImageFilter< TInputImage, TOutputImage > | Normalize an image by setting its mean to zero and variance to one |
| itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage > | Scales image pixel intensities to make the sum of all pixels equal a user-defined constant |
| itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel > | Base class for the morphological operations being applied to isolated objects in an image |
| itk::DilateObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel > | Dilation of an object in an image |
| itk::ErodeObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel > | Erosion of an object in an image |
| itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel > | Opening by reconstruction of an image |
| itk::OrientImageFilter< TInputImage, TOutputImage > | Permute axes and then flip images as needed to obtain agreement in coordinateOrientation codes |
| itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage > | Threshold an image using multiple Otsu Thresholds |
| itk::PadImageFilter< TInputImage, TOutputImage > | Increase the image size by padding. Superclass for filters that fill in extra pixels |
| itk::ConstantPadImageFilter< TInputImage, TOutputImage > | Increase the image size by padding with a constant value |
| itk::MirrorPadImageFilter< TInputImage, TOutputImage > | Increase the image size by padding with replicants of the input image value |
| itk::WrapPadImageFilter< TInputImage, TOutputImage > | Increase the image size by padding with replicants of the input image value |
| itk::ZeroFluxNeumannPadImageFilter< TInputImage, TOutputImage > | Increase the image size by padding according to the zero-flux Neumann boundary condition |
| itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage > | Base class for patch-based denoisng algorithms |
| itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage > | Derived class implementing a specific patch-based denoising algorithm, as detailed below |
| itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage > | Implements 2D image masking operation constrained by a contour |
| itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage > | Implements image masking operation constrained by a polyline on a plane perpendicular to certain viewing direction |
| itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator > | Implements an accumulation of an image along a selected direction |
| itk::RealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage > | Base class for specialized real-to-complex forward Fast Fourier Transform |
| itk::FFTWRealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage > | FFTW-based forward Fast Fourier Transform |
| itk::VnlRealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage > | VNL-based forward Fast Fourier Transform |
| itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare > | Performs a grayscale geodesic reconstruction – for performance comparison with GrayscaleGeodesicDilateImageFilter |
| itk::RegionalMaximaImageFilter< TInputImage, TOutputImage > | Produce a binary image where foreground is the regional maxima of the input image |
| itk::RegionalMinimaImageFilter< TInputImage, TOutputImage > | Produce a binary image where foreground is the regional minima of the input image |
| itk::RegionGrowImageFilter< TInputImage, TOutputImage > | Base class for RegionGrowImageFilter object |
| itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage > | Base class for a region growing object that performs energy-based region growing for multiband images |
| itk::RegionOfInterestImageFilter< TInputImage, TOutputImage > | Extract a region of interest from the input image |
| itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType > | Resample an image via a coordinate transform |
| itk::RobustAutomaticThresholdImageFilter< TInputImage, TGradientImage, TOutputImage > | Threshold an image using robust automatic threshold selection (RATS) method |
| itk::ScalarImageKmeansImageFilter< TInputImage, TOutputImage > | Classifies the intensity values of a scalar image using the K-Means algorithm |
| itk::ScalarToRGBColormapImageFilter< TInputImage, TOutputImage > | Implements pixel-wise intensity->rgb mapping operation on one image |
| itk::ShiftScaleImageFilter< TInputImage, TOutputImage > | Shift and scale the pixels in an image |
| itk::ShrinkImageFilter< TInputImage, TOutputImage > | Reduce the size of an image by an integer factor in each dimension |
| itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage > | |
| itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage > | This filter calculates the Euclidean distance transform of a binary image in linear time for arbitrary dimensions |
| itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage > | Apply a filter or a pipeline slice by slice on an image |
| itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage > | A 2D or 3D edge detection using the Sobel operator |
| itk::SpatialFunctionImageEvaluatorFilter< TSpatialFunction, TInputImage, TOutputImage > | Evaluates a SpatialFunction onto a source image |
| itk::STAPLEImageFilter< TInputImage, TOutputImage > | The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations |
| itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage > | Image classification class |
| itk::StochasticFractalDimensionImageFilter< TInputImage, TMaskImage, TOutputImage > | This filter computes the stochastic fractal dimension of the input image |
| itk::StreamingImageFilter< TInputImage, TOutputImage > | Pipeline object to control data streaming for large data processing |
| itk::ThresholdMaximumConnectedComponentsImageFilter< TInputImage, TOutputImage > | Finds the threshold value of an image based on maximizing the number of objects in the image that are larger than a given minimal size |
| itk::TileImageFilter< TInputImage, TOutputImage > | Tile multiple input images into a single output image |
| itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 > | Uses a flooding algorithm to set all voxels that are not a regional extrema to the max or min of the pixel type |
| itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage > | Segment pixels with similar statistics using connectivity |
| itk::VectorExpandImageFilter< TInputImage, TOutputImage > | Expand the size of a vector image by an integer factor in each dimension |
| itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage > | Computes a scalar, gradient magnitude image from a multiple channel (pixels are vectors) input |
| itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage > | Applies a single scalar NeighborhoodOperator to an itk::Vector image region |
| itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType > | Resample an image via a coordinate transform |
| itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage > | Base class for VoronoiSegmentationImageFilter |
| itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage, TBinaryPriorImage > | |
| itk::VotingBinaryImageFilter< TInputImage, TOutputImage > | Applies a voting operation in a neighborhood of each pixel |
| itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage > | Fills in holes and cavities by applying a voting operation on each pixel |
| itk::WarpImageFilter< TInputImage, TOutputImage, TDisplacementField > | Warps an image using an input displacement field |
| itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDisplacementField > | Warps an image using an input displacement field |
| itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage > | This filter implements a zero-crossing based edge detecor |
| itk::ZeroCrossingImageFilter< TInputImage, TOutputImage > | This filter finds the closest pixel to the zero-crossings (sign changes) in a signed itk::Image |
| itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage > | |
| itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage > | Calculate normalized cross correlation using FFTs |
| itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::BinaryThresholdProjectionImageFilter< TInputImage, TOutputImage > | BinaryThreshold projection |
| itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::BinaryProjectionImageFilter< TInputImage, TOutputImage > | Binary projection |
| itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MaximumAccumulator< TInputImage::PixelType > > | |
| itk::MaximumProjectionImageFilter< TInputImage, TOutputImage > | Maximum projection |
| itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MeanAccumulator< TInputImage::PixelType, TAccumulate > > | |
| itk::MeanProjectionImageFilter< TInputImage, TOutputImage, TAccumulate > | Mean projection |
| itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MedianAccumulator< TInputImage::PixelType > > | |
| itk::MedianProjectionImageFilter< TInputImage, TOutputImage > | Median projection |
| itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MinimumAccumulator< TInputImage::PixelType > > | |
| itk::MinimumProjectionImageFilter< TInputImage, TOutputImage > | Minimum projection |
| itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > > | |
| itk::StandardDeviationProjectionImageFilter< TInputImage, TOutputImage, TAccumulate > | Mean projection |
| itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > > | |
| itk::SumProjectionImageFilter< TInputImage, TOutputImage > | Sum projection |
| itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > > | |
| itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage > | Grayscale reconstruction by dilation of an image |
| itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > > | |
| itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage > | Grayscale reconstruction by erosion of an image |
| itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > > | |
| itk::ValuedRegionalMaximaImageFilter< TInputImage, TOutputImage > | Transforms the image so that any pixel that is not a regional maxima is set to the minimum value for the pixel type. Pixels that are regional maxima retain their value |
| itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > > | |
| itk::ValuedRegionalMinimaImageFilter< TInputImage, TOutputImage > | Transforms the image so that any pixel that is not a regional minima is set to the maximum value for the pixel type. Pixels that are regional minima retain their value |
| itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage > | |
| itk::VoronoiPartitioningImageFilter< TInputImage, TOutputImage > | |
| itk::VoronoiSegmentationRGBImageFilter< TInputImage, TOutputImage > | |
| itk::LandmarkDisplacementFieldSource< TOutputImage > | Computes a displacement field from two sets of landmarks |
| itk::PathToImageFilter< TInputPath, TOutputImage > | Base class for filters that take a Path as input and produce an image as output. Base class for filters that take a Path as input and produce an image as output. By default, if the user does not specify the size of the output image, the maximum size of the path's bounding box is used. The default spacing of the image is given by the spacing of the input path (currently assumed internally to be 1.0) |
| itk::PointSetToImageFilter< TInputPointSet, TOutputImage > | Base class for filters that take a PointSet as input and produce an image as output. By default, if the user does not specify the size of the output image, the maximum size of the point-set's bounding box is used |
| itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage > | Image filter which provides a B-spline output approximation |
| itk::fem::FEMScatteredDataPointSetToImageFilter< TInputPointSet, TInputMesh, TOutputImage, TInputConfidencePointSet, TInputTensorPointSet > | Scattered data approximation to interpolation in the presence of outliers |
| itk::RandomImageSource< TOutputImage > | Generate an n-dimensional image of random pixel values |
| itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage > | Base class for filters that take a SpatialObject as input and produce an image as output. By default, if the user does not specify the size of the output image, the maximum size of the object's bounding box is used. The spacing of the image is given by the spacing of the input Spatial object |
| itk::Testing::ComparisonImageFilter< TInputImage, TOutputImage > | Implements comparison between two images |
| itk::Testing::ExtractSliceImageFilter< TInputImage, TOutputImage > | Decrease the image size by cropping the image to the selected region bounds |
| itk::Testing::StretchIntensityImageFilter< TInputImage, TOutputImage > | Applies a linear transformation to the intensity levels of the input Image |
| itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType > | Generate a deformation field from a coordinate transform |
| itk::TransformToDisplacementFieldSource< TOutputImage, TTransformPrecisionType > | Generate a displacement field from a coordinate transform |
| itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage > | 3D Rasterization algorithm Courtesy of Dr David Gobbi of Atamai Inc |
| itk::VTKImageImport< TOutputImage > | Connect the end of an VTK pipeline to an ITK image pipeline |
| itk::VTKImageToImageFilter< TOutputImage > | Converts a VTK image into an ITK image and plugs a VTK data pipeline to an ITK datapipeline |
| itk::ImageToData< VDimension, TDataHolder > | |
| itk::ImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetricv4 > | Provides threading for ImageToImageMetricv4::GetValueAndDerivative |
| itk::ImageToImageMetricv4GetValueAndDerivativeThreader< itk::ThreadedImageRegionPartitioner< VirtualImageDimension >, itk::ImageToImageMetricv4 > | |
| itk::ImageToImageMetricv4GetValueAndDerivativeThreader< itk::ThreadedIndexedContainerPartitioner, itk::ImageToImageMetricv4 > | |
| itk::ImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric > | |
| itk::ANTSNeighborhoodCorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TNeighborhoodCorrelationMetric > | Threading implementation for ANTS CC metric ANTSNeighborhoodCorrelationImageToImageMetricv4 . Supports both dense and sparse threading ways. The dense threader iterates over the whole image domain in order and use a neighborhood scanning window to compute the local cross correlation metric and its derivative incrementally inside the window. The sparse threader uses a sampled point set partitioner to computer local cross correlation only at the sampled positions |
| itk::CorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TCorrelationMetric > | Processes points for CorrelationImageToImageMetricv4 GetValueAndDerivative |
| itk::CorrelationImageToImageMetricv4HelperThreader< TDomainPartitioner, TImageToImageMetric, TCorrelationMetric > | |
| itk::DemonsImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TDemonsMetric > | Processes points for DemonsImageToImageMetricv4 GetValueAndDerivative |
| itk::JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric > | Processes points for JointHistogramMutualInformationImageToImageMetricv4 GetValueAndDerivative() |
| itk::MattesMutualInformationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TMattesMutualInformationMetric > | Processes points for MattesMutualInformationImageToImageMetricv4 GetValueAndDerivative |
| itk::MeanSquaresImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TMeanSquaresMetric > | Processes points for MeanSquaresImageToImageMetricv4 GetValueAndDerivative |
| ImageTransformHelper< NImageDimension, R, C > | |
| itk::ImageTransformHelper< NImageDimension, R, C > | Fast index/physical index computation |
| itk::ImageVoxel | |
| itk::Concept::IncrementDecrementOperators< T > | |
| itk::Indent | Control indentation during Print() invocation |
| itk::Index< VIndexDimension > | Represent a n-dimensional index in a n-dimensional image |
| itk::Index< itkGetStaticConstMacro(Dimension) > | |
| itk::Index< itkGetStaticConstMacro(ImageDimension) > | |
| itk::Index< VDimension > | |
| itk::Index< VImageDimension > | |
| itk::Index< VSetDimension > | |
| itk::Functor::IndexLexicographicCompare< VIndexDimension > | Order Index instances lexicographically |
| itk::Functor::IntensityLinearTransform< TInput, TOutput > | |
| itk::Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::Functor::IntensityWindowingTransform< TInput, TOutput > | |
| itk::Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > | |
| Interface | Wrapper for FFTW API |
| itk::CorrelationImageToImageMetricv4GetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TCorrelationMetric >::InternalCumSumType | |
| InvalidRequestRegionError | |
| itk::Functor::InverseDeconvolutionFunctor< TInput1, TInput2, TOutput > | |
| itk::Functor::InvertIntensityFunctor< InputPixelType > | |
| itk::Functor::InvertIntensityTransform< TInput, TOutput > | |
| itk::Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > | |
| itk::IOCommon | Centralized funtionality for IO classes |
| itk::IOTestHelper | |
| itk::Concept::IsFixedPoint< T > | |
| itk::Concept::IsFloatingPoint< T > | |
| itk::Concept::IsInteger< T > | |
| itk::Concept::IsNonInteger< T > | |
| itk::IterationReporter | Implements iterations tracking for a filter |
| itk::LevelSetContainerBase< TIdentifier, TLevelSet >::Iterator | |
| itk::LevelSetEquationContainer< TTermContainer >::Iterator | |
| itk::LevelSetEquationTermContainer< TInputImage, TLevelSetContainer >::Iterator | |
| itk::VectorContainer< TElementIdentifier, TElement >::Iterator | |
| itk::LabelMap< TLabelObject >::Iterator | A forward iterator over the LabelObjects of a LabelMap |
| itk::IndexedContainerInterface< TElementIdentifier, TElement >::Iterator | Support iteration operations through a container. Dereferencing the iterator must provide an object with the following methods: ElementIdentifier Index(void) const; Element& Value(void); |
| itk::MapContainer< TElementIdentifier, TElement >::Iterator | The non-const iterator type for the map |
| itkBSplineCenteredL2ResampleImageFilterBase | Uses the "Centered L2" B-Spline pyramid implementation of B-Spline Filters to up/down sample an image by a factor of 2 |
| itkFEMLoadNoisyLandmark | This landmark is derived from the motion of a specific landmark, but allows the existance of noise or outliers |
| itkFloatingPointExceptions | |
| itkTreeIteratorClone | ItkTreeIteratorClone class |
| itk::fem::ItpackSparseMatrix | Compressed row sparse matrix representation that makes use of itpack to dynamically assemble the matrix |
| itk::Functor::JoinFunctor< TPixel1, TPixel2 > | Join the components of two pixel types into a single pixel type |
| itk::JointHistogramMutualInformationComputeJointPDFThreader< TDomainPartitioner, TJointHistogramMetric > | Provide a threaded computation of the joint PDF for JointHistogramMutualInformationImageToImageMetricv4 |
| itk::JoinTraits< TValueType1, TValueType2 > | Trait to determine what datatype is needed if the specified pixel types are "joined" into a single vector |
| itk::KalmanLinearEstimator< T, VEstimatorDimension > | Implement a linear recursive estimator |
| itk::Statistics::KdTreeNode< TSample > | This class defines the interface of its derived classes |
| itk::Statistics::KdTreeNonterminalNode< TSample > | This is a subclass of the KdTreeNode |
| itk::Statistics::KdTreeTerminalNode< TSample > | This class is the node that doesn't have any child node. The IsTerminal method returns true for this class. This class stores the instance identifiers belonging to this node, while the nonterminal nodes do not store them. The AddInstanceIdentifier and GetInstanceIdentifier are storing and retrieving the instance identifiers belonging to this node |
| itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample > | This is a subclass of the KdTreeNode |
| itk::GPUKernelManager::KernelArgumentList | |
| itk::KLMDynamicBorderArray< TBorder > | Object maintaining a reference to a list of borders associated with a region |
| itk::Functor::KurtosisLabelObjectAccessor< TLabelObject > | |
| itk::LabelGeometryImageFilter< TLabelImage, TIntensityImage >::LabelGeometry | Geometry stored per label |
| itk::Functor::LabelLabelObjectAccessor< TLabelObject > | |
| itk::Functor::LabelObjectComparator< TLabelObject, TAttributeAccessor > | |
| itk::LabelObjectLine< VImageDimension > | |
| LabelObjectLineComparator | Performs a comparison of l1 < l2. Returns true if l1 is strictly less than l2 |
| itk::Functor::LabelObjectLineComparator< TLabelObjectLine > | |
| itk::Functor::LabelObjectReverseComparator< TLabelObject, TAttributeAccessor > | |
| itk::Functor::LabelOverlayFunctor< TInputPixel, TLabel, TRGBPixel > | Functor for applying a colormap to a label image and combine it with a grayscale image |
| itk::Functor::LabelOverlayFunctor< TInputImage::PixelType, TLabelImage::PixelType, TOutputImage::PixelType > | |
| itk::LabelOverlapMeasuresImageFilter< TLabelImage >::LabelSetMeasures | Metrics stored per label |
| itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::LabelStatistics | Statistics stored per label |
| itk::Functor::LabelToRGBFunctor< TLabel, TRGBPixel > | Functor for converting labels into RGB triplets |
| itk::Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > | |
| itk::Function::LanczosWindowFunction< VRadius, TInput, TOutput > | Window function for sinc interpolation.
![\[ w(x) = \textrm{sinc} ( \frac{x}{m} ) \]](form_153.png)
Note: Paper referenced in WindowedSincInterpolateImageFunction gives an incorrect definition of this window function |
| itk::Functor::LandweberMethod< TInput1, TInput2, TInput3, TOutput > | Functor class for computing a Landweber iteration |
| LBFGSBOptimizerHelper | Wrapper helper around vnl_lbfgsb |
| itk::Concept::LessThanComparable< T1, T2 > | |
| itk::LevelSetBase< TInput, VDimension, TOutput, TDomain >::LevelSetDataType | Convenient data structure to cache computed characteristics |
| itk::LevelSetDomainMapImageFilter< TInputImage, TOutputImage >::LevelSetDomain | Specifies an image region where an unique std::list of level sets Id's are defined |
| itk::LevelSetEvolution< TEquationContainer, TLevelSet > | Class for iterating and evolving the level-set function |
| itk::LevelSetEvolutionComputeIterationThreader< TLevelSet, TDomainPartitioner, TLevelSetEvolution > | Thread the ComputeIteration method |
| itk::LevelSetEvolutionUpdateLevelSetsThreader< TLevelSet, TDomainPartitioner, TLevelSetEvolution > | Threade the UpdateLevelSets method |
| itk::LevelSetNode< TPixel, VSetDimension > | Represent a node in a level set |
| itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::AxisNodeType | |
| itk::LevelSetTypeDefault< TLevelSet > | Level set type information |
| itk::LightObject | Light weight base class for most itk classes |
| itk::FiniteDifferenceFunction< TDisplacementField > | |
| itk::GPUFiniteDifferenceFunction< TDisplacementField > | |
| itk::GPUPDEDeformableRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField > | |
| itk::GPUDemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField > | |
| itk::PDEDeformableRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField > | |
| itk::DemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField > | |
| itk::ESMDemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField > | Fast implementation of the symmetric demons registration force |
| itk::FastSymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField > | |
| itk::LevelSetMotionRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField > | |
| itk::MeanSquareRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField > | |
| itk::MIRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField > | |
| itk::NCCRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField > | |
| itk::SymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField > | |
| itk::FiniteDifferenceFunction< TImage > | |
| itk::GPUFiniteDifferenceFunction< TImage > | |
| itk::GPUAnisotropicDiffusionFunction< TImage > | |
| itk::GPUScalarAnisotropicDiffusionFunction< TImage > | |
| itk::GPUGradientNDAnisotropicDiffusionFunction< TImage > | |
| itk::AnisotropicDiffusionFunction< TImage > | |
| itk::ScalarAnisotropicDiffusionFunction< TImage > | |
| itk::CurvatureNDAnisotropicDiffusionFunction< TImage > | |
| itk::GradientNDAnisotropicDiffusionFunction< TImage > | |
| itk::VectorAnisotropicDiffusionFunction< TImage > | |
| itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage > | |
| itk::VectorGradientNDAnisotropicDiffusionFunction< TImage > | |
| itk::CurvatureFlowFunction< TImage > | This class encapsulate the finite difference equation which drives a curvature flow denoising algorithm |
| itk::MinMaxCurvatureFlowFunction< TImage > | |
| itk::BinaryMinMaxCurvatureFlowFunction< TImage > | |
| itk::FiniteDifferenceFunction< TInput > | |
| itk::RegionBasedLevelSetFunction< TInput, TFeature, TSharedData > | LevelSet function that computes a speed image based on regional integrals |
| itk::FiniteDifferenceFunction< TInputImage > | |
| itk::RegionBasedLevelSetFunction< TInputImage, TFeatureImage, TSharedData > | |
| itk::ScalarRegionBasedLevelSetFunction< TInputImage, TFeatureImage, TSharedData > | LevelSet function that computes a speed image based on regional integrals |
| itk::ScalarChanAndVeseLevelSetFunction< TInputImage, TFeatureImage, TSharedData > | LevelSet function that computes a speed image based on regional integrals of probabilities |
| itk::FiniteDifferenceFunction< TSparseImageType > | |
| itk::FiniteDifferenceSparseImageFunction< TSparseImageType > | This is the base class for function classes that can be used with filters derived from FiniteDifferenceSparseImageFilter |
| itk::NormalVectorFunctionBase< TSparseImageType > | This class defines the common functionality for Sparse Image neighborhoods of unit vectors |
| itk::NormalVectorDiffusionFunction< TSparseImageType > | This class defines all the necessary functionality for performing isotropic and anisotropic diffusion operations on vector neighborhoods from a sparse image |
| itk::Barrier | Standard barrier class implementation for synchronizing the execution of threads |
| itk::CellInterface< TPixelType, TCellTraits >::MultiVisitor | A visitor that can visit different cell types in a mesh. CellInterfaceVisitor instances can be registered for each type of cell that needs to be visited |
| itk::CellInterfaceVisitor< TPixelType, TCellTraits > | Abstract interface for a visitor class that can visit the cells in a Mesh |
| itk::CellInterfaceVisitorImplementation< TPixelType, TCellTraits, CellTopology, UserVisitor > | A template class used to implement a visitor object |
| itk::ConditionVariable | A thread synchronization object used to suspend execution until some condition on shared data is met |
| itk::fem::FEMLightObject | Base class for all classes that define the FEM system |
| itk::fem::Element | Abstract base element class |
| itk::fem::ElementStd< 2, 2 > | |
| itk::fem::Element2DC0LinearLine | 2-noded, linear, C0 continuous line element in 2D space. takes loads only along the length of the axis |
| itk::fem::Element1DStress< Element2DC0LinearLine > | |
| itk::fem::Element2DC0LinearLineStress | 2-noded finite element class in 2D space for linear elasticity problem |
| itk::fem::Element2DC1Beam | 1D Beam (spring that also bends) finite element in 2D space |
| itk::fem::ElementStd< 3, 2 > | |
| itk::fem::Element2DC0LinearTriangular | 3-noded, linear, C0 continuous finite element in 2D space.The ordering of the nodes is counter clockwise. That is the nodes should be defined in the following order: |
| itk::fem::Element2DMembrane< Element2DC0LinearTriangular > | |
| itk::fem::Element2DC0LinearTriangularMembrane | 3-noded finite element class in 2D space |
| itk::fem::Element2DStrain< Element2DC0LinearTriangular > | |
| itk::fem::Element2DC0LinearTriangularStrain | 3-noded finite element class in 2D space for linear elasticity problem |
| itk::fem::Element2DStress< Element2DC0LinearTriangular > | |
| itk::fem::Element2DC0LinearTriangularStress | 3-noded finite element class in 2D space for linear elasticity problem |
| itk::fem::ElementStd< 3, 3 > | |
| itk::fem::Element3DC0LinearTriangular | 3-noded, linear, C0 continuous finite element in 2D space |
| itk::fem::Element3DMembrane1DOF< Element3DC0LinearTriangular > | |
| itk::fem::Element3DC0LinearTriangularLaplaceBeltrami | 3-noded finite element class in 3D space for surface LaplaceBeltrami problem |
| itk::fem::Element3DMembrane< Element3DC0LinearTriangular > | |
| itk::fem::Element3DC0LinearTriangularMembrane | 3-noded finite element class in 3D space for surface membrane problem |
| itk::fem::ElementStd< 4, 2 > | |
| itk::fem::Element2DC0LinearQuadrilateral | 4-noded, linear, C0 continuous finite element in 2D space.The ordering of the nodes is counter clockwise. That is the nodes should be defined in the following order: |
| itk::fem::Element2DMembrane< Element2DC0LinearQuadrilateral > | |
| itk::fem::Element2DC0LinearQuadrilateralMembrane | 4-noded finite element class in 2D space |
| itk::fem::Element2DStrain< Element2DC0LinearQuadrilateral > | |
| itk::fem::Element2DC0LinearQuadrilateralStrain | 4-noded finite element class in 2D space for linear elasticity problemThe ordering of the nodes is counter clockwise. That is the nodes should be defined in the following order: |
| itk::fem::Element2DStress< Element2DC0LinearQuadrilateral > | |
| itk::fem::Element2DC0LinearQuadrilateralStress | 4-noded finite element class in 2D space |
| itk::fem::ElementStd< 4, 3 > | |
| itk::fem::Element3DC0LinearTetrahedron | 4-noded, linear, C0 continuous finite element in 3D space |
| itk::fem::Element3DMembrane< Element3DC0LinearTetrahedron > | |
| itk::fem::Element3DC0LinearTetrahedronMembrane | 4-noded finite element class in 3D space. The constitutive equation used is from membrane bending energy |
| itk::fem::Element3DStrain< Element3DC0LinearTetrahedron > | |
| itk::fem::Element3DC0LinearTetrahedronStrain | 4-noded finite element class in 3D space for linear elasticity problem |
| itk::fem::ElementStd< 6, 2 > | |
| itk::fem::Element2DC0QuadraticTriangular | 6-noded, quadratic, C0 continuous finite element in 2D space that defines a triangle |
| itk::fem::Element2DStrain< Element2DC0QuadraticTriangular > | |
| itk::fem::Element2DC0QuadraticTriangularStrain | 6-noded finite element class in 2D space for linear elasticity problem that defines a triangle element |
| itk::fem::Element2DStress< Element2DC0QuadraticTriangular > | |
| itk::fem::Element2DC0QuadraticTriangularStress | 6-noded finite element class in 2D space for linear elasticity problem. The constitutive equation used is for plane stress |
| itk::fem::ElementStd< 8, 3 > | |
| itk::fem::Element3DC0LinearHexahedron | 8-noded, linear, C0 continuous finite element in 3D space |
| itk::fem::Element3DMembrane< Element3DC0LinearHexahedron > | |
| itk::fem::Element3DC0LinearHexahedronMembrane | 8-noded finite element class in 3D space. The constitutive equation used is from membrane bending energy |
| itk::fem::Element3DStrain< Element3DC0LinearHexahedron > | |
| itk::fem::Element3DC0LinearHexahedronStrain | 8-noded finite element class in 3D space. The constitutive equation used is from linear elasticity theory |
| itk::fem::Element::Node | Class that stores information required to define a node |
| itk::fem::Load | General abstract load base class |
| itk::fem::LoadBC | Generic essential (Dirichlet) boundary conditions |
| itk::fem::LoadBCMFC | Generic linear multi freedom displacement constraint in global coordinate system |
| itk::fem::LoadElement | Virtual element load base class |
| itk::fem::FiniteDifferenceFunctionLoad< TMoving, TFixed > | General image pair load that uses the itkFiniteDifferenceFunctions |
| itk::fem::ImageMetricLoad< TMoving, TFixed > | General image pair load that uses the itkImageToImageMetrics |
| itk::fem::LoadEdge | A generic load that can be applied to an edge of the element |
| itk::fem::LoadGrav | Abstract gravity load class |
| itk::fem::LoadGravConst | Constant gravity load class |
| itk::fem::LoadLandmark | This load is derived from the motion of a specific landmark |
| itk::fem::LoadNoisyLandmark | |
| itk::fem::LoadPoint | This load is applied on a point in an element |
| itk::fem::LoadTest< TClass > | Example to show how to define templated load classes |
| itk::fem::LoadNode | This load is applied on a specific point within the system |
| itk::fem::Material | Base class for storing all the implicit material and other properties required to fully define the element class |
| itk::fem::MaterialLinearElasticity | Linear elasticity material class |
| itk::FiniteDifferenceFunction< TImageType > | |
| itk::GPUFiniteDifferenceFunction< TImageType > | |
| itk::LevelSetFunction< TImageType > | The LevelSetFunction class is a generic function object which can be used to create a level set method filter when combined with an appropriate finite difference image filter. (See FiniteDifferenceImageFilter.) |
| itk::LevelSetFunctionWithRefitTerm< TImageType, TSparseImageType > | This class extends the LevelSetFunction class by adding a grow term based on a target curvature stored in a sparse image |
| itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType > | |
| itk::CannySegmentationLevelSetFunction< TImageType, TFeatureImageType > | A refinement of the standard level-set function which computes a speed term and advection term based on pseudo-Canny edges. See CannySegmentationLevelSetImageFilter for complete information |
| itk::CurvesLevelSetFunction< TImageType, TFeatureImageType > | This function is used in CurvesLevelSetImageFilter to segment structures in images based on user supplied edge potential map |
| itk::GeodesicActiveContourLevelSetFunction< TImageType, TFeatureImageType > | This function is used in GeodesicActiveContourLevelSetImageFilter to segment structures in an image based on a user supplied edge potential map |
| itk::LaplacianSegmentationLevelSetFunction< TImageType, TFeatureImageType > | This function is used in LaplacianSegmentationImageFilter to segment structures in an image based Laplacian edges |
| itk::ShapeDetectionLevelSetFunction< TImageType, TFeatureImageType > | This function is used in the ShapeDetectionLevelSetImageFilter to segment structures in an image based on a user supplied edge potential map |
| itk::ShapePriorSegmentationLevelSetFunction< TImageType, TFeatureImageType > | This function is used in ShapePriorSegmentationLevelSetFilter to segment structures in an image based on user supplied edge potential map and shape model |
| itk::GeodesicActiveContourShapePriorLevelSetFunction< TImageType, TFeatureImageType > | This function is used in GeodesicActiveContourShapePriorSegmentationLevelSetFilter to segment structures in an image based on user supplied edge potential map and shape model |
| itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType > | This function is used in ThresholdSegmentationLevelSetImageFilter to segment structures in images based on intensity values |
| itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType > | This function is used in VectorThresholdSegmentationLevelSetImageFilter to segment structures in images based on the Mahalanobis distance |
| itk::GPUContextManager | |
| itk::GPUKernelManager | GPU kernel manager implemented using OpenCL |
| itk::LabelObject< TLabel, VImageDimension > | The base class for the representation of an labeled binary object in an image |
| itk::AttributeLabelObject< TLabel, VImageDimension, TAttributeValue > | A LabelObject with a generic attribute |
| itk::ShapeLabelObject< TLabel, VImageDimension > | A Label object to store the common attributes related to the shape of the object |
| itk::StatisticsLabelObject< TLabel, VImageDimension > | A Label object to store the common attributes related to the statistics of the object |
| itk::MetaDataObjectBase | The common interface for MetaDataObject's |
| itk::MetaDataObject< MetaDataObjectType > | Allows arbitrary data types to be stored as MetaDataObjectBase types, and to be stored in a MetaDataDictionary |
| itk::MRCHeaderObject | This class is a light wrapper for a couple of plain old data structures, so that they can be utilized in a MetaDataDictionary |
| itk::NarrowBand< NodeType > | Narrow Band class |
| itk::Object | Base class for most ITK classes |
| itk::BinaryImageToLevelSetImageAdaptorBase< TInput, MalcolmSparseLevelSetImage< TInput::ImageDimension > > | |
| itk::BinaryImageToSparseLevelSetImageAdaptorBase< TInput, MalcolmSparseLevelSetImage< TInput::ImageDimension > > | |
| itk::BinaryImageToLevelSetImageAdaptor< TInput, MalcolmSparseLevelSetImage< TInput::ImageDimension > > | |
| itk::BinaryImageToLevelSetImageAdaptorBase< TInput, ShiSparseLevelSetImage< TInput::ImageDimension > > | |
| itk::BinaryImageToSparseLevelSetImageAdaptorBase< TInput, ShiSparseLevelSetImage< TInput::ImageDimension > > | |
| itk::BinaryImageToLevelSetImageAdaptor< TInput, ShiSparseLevelSetImage< TInput::ImageDimension > > | |
| itk::BinaryImageToLevelSetImageAdaptorBase< TInput, TOutput > | |
| itk::BinaryImageToSparseLevelSetImageAdaptorBase< TInput, TOutput > | |
| itk::BinaryImageToLevelSetImageAdaptorBase< TInput, WhitakerSparseLevelSetImage< TOutput, TInput::ImageDimension > > | |
| itk::BinaryImageToSparseLevelSetImageAdaptorBase< TInput, WhitakerSparseLevelSetImage< TOutput, TInput::ImageDimension > > | |
| itk::BinaryImageToLevelSetImageAdaptor< TInput, WhitakerSparseLevelSetImage< TOutput, TInput::ImageDimension > > | |
| itk::BinaryImageToLevelSetImageAdaptorBase< TInputImage, LevelSetDenseImage< TLevelSetImage > > | |
| itk::BinaryImageToLevelSetImageAdaptor< TInputImage, LevelSetDenseImage< TLevelSetImage > > | |
| itk::CenteredTransformInitializer< VersorRigid3DTransform< double >, TFixedImage, TMovingImage > | |
| itk::CenteredVersorTransformInitializer< TFixedImage, TMovingImage > | CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform |
| itk::Function::ConvergenceMonitoringFunction< TScalar, TScalar > | |
| itk::Function::WindowConvergenceMonitoringFunction< TScalar > | Class which monitors convergence during the course of optimization |
| itk::DomainThreader< TDomainPartitioner, TImageToImageMetricv4 > | |
| itk::ImageToImageMetricv4GetValueAndDerivativeThreaderBase< TDomainPartitioner, TImageToImageMetricv4 > | Provides threading for ImageToImageMetricv4::GetValueAndDerivative |
| itk::DomainThreader< TDomainPartitioner, TJointHistogramMetric > | |
| itk::JointHistogramMutualInformationComputeJointPDFThreaderBase< TDomainPartitioner, TJointHistogramMetric > | Comput the JointPDF image |
| itk::DomainThreader< ThreadedImageRegionPartitioner< TImage::ImageDimension >, TLevelSetEvolution > | |
| itk::LevelSetEvolutionComputeIterationThreader< LevelSetDenseImage< TImage >, ThreadedImageRegionPartitioner< TImage::ImageDimension >, TLevelSetEvolution > | |
| itk::LevelSetEvolutionUpdateLevelSetsThreader< LevelSetDenseImage< TImage >, ThreadedImageRegionPartitioner< TImage::ImageDimension >, TLevelSetEvolution > | |
| itk::DomainThreader< ThreadedImageRegionPartitioner< TImageToImageMetricv4::VirtualImageDimension >, TImageToImageMetricv4 > | |
| itk::ImageToImageMetricv4GetValueAndDerivativeThreaderBase< ThreadedImageRegionPartitioner< TImageToImageMetricv4::VirtualImageDimension >, TImageToImageMetricv4 > | |
| itk::ImageToImageMetricv4GetValueAndDerivativeThreader< ThreadedImageRegionPartitioner< TImageToImageMetricv4::VirtualImageDimension >, TImageToImageMetricv4 > | |
| itk::DomainThreader< ThreadedImageRegionPartitioner< TJointHistogramMetric::VirtualImageDimension >, TJointHistogramMetric > | |
| itk::JointHistogramMutualInformationComputeJointPDFThreaderBase< ThreadedImageRegionPartitioner< TJointHistogramMetric::VirtualImageDimension >, TJointHistogramMetric > | |
| itk::JointHistogramMutualInformationComputeJointPDFThreader< ThreadedImageRegionPartitioner< TJointHistogramMetric::VirtualImageDimension >, TJointHistogramMetric > | |
| itk::DomainThreader< ThreadedIndexedContainerPartitioner, GradientDescentOptimizerBasev4 > | |
| itk::GradientDescentOptimizerBasev4ModifyGradientByLearningRateThreader | Modify the gradient by the learning rate for GradientDescentOptimizerBasev4 |
| itk::GradientDescentOptimizerBasev4ModifyGradientByScalesThreader | Modify the gradient by the parameter scales for GradientDescentOptimizerBasev4 |
| itk::DomainThreader< ThreadedIndexedContainerPartitioner, QuasiNewtonOptimizerv4 > | |
| itk::QuasiNewtonOptimizerv4EstimateNewtonStepThreader | Estimate the quasi-Newton step in a thread |
| itk::DomainThreader< ThreadedIndexedContainerPartitioner, TImageToImageMetricv4 > | |
| itk::ImageToImageMetricv4GetValueAndDerivativeThreaderBase< ThreadedIndexedContainerPartitioner, TImageToImageMetricv4 > | |
| itk::ImageToImageMetricv4GetValueAndDerivativeThreader< ThreadedIndexedContainerPartitioner, TImageToImageMetricv4 > | |
| itk::DomainThreader< ThreadedIndexedContainerPartitioner, TJointHistogramMetric > | |
| itk::JointHistogramMutualInformationComputeJointPDFThreaderBase< ThreadedIndexedContainerPartitioner, TJointHistogramMetric > | |
| itk::JointHistogramMutualInformationComputeJointPDFThreader< ThreadedIndexedContainerPartitioner, TJointHistogramMetric > | |
| itk::DomainThreader< ThreadedIteratorRangePartitioner< TLevelSetEvolution::DomainMapImageFilterType::DomainMapType::const_iterator >, TLevelSetEvolution > | |
| itk::LevelSetEvolutionComputeIterationThreader< LevelSetDenseImage< TImage >, ThreadedIteratorRangePartitioner< typename TLevelSetEvolution::DomainMapImageFilterType::DomainMapType::const_iterator >, TLevelSetEvolution > | |
| itk::DomainThreader< ThreadedIteratorRangePartitioner< WhitakerSparseLevelSetImage< TOutput, VDimension >::LayerConstIterator >, TLevelSetEvolution > | |
| itk::LevelSetEvolutionComputeIterationThreader< WhitakerSparseLevelSetImage< TOutput, VDimension >, ThreadedIteratorRangePartitioner< typename WhitakerSparseLevelSetImage< TOutput, VDimension >::LayerConstIterator >, TLevelSetEvolution > | |
| itk::FunctionBase< Array< double >, double > | |
| itk::Statistics::DistanceMetric< Array< double > > | |
| itk::Statistics::EuclideanDistanceMetric< Array< double > > | |
| itk::FunctionBase< ContinuousIndex< TCoordRep, VSpaceDimension >, Array< double > > | |
| itk::BSplineInterpolationWeightFunction< TCoordRep, VSpaceDimension, VSplineOrder > | Returns the weights over the support region used for B-spline interpolation/reconstruction |
| itk::FunctionBase< double, double > | |
| itk::KernelFunctionBase< double > | |
| itk::GaussianKernelFunction< double > | |
| itk::KernelFunction | KernelFunction is for backward compatibility with ITKv3 |
| itk::FunctionBase< Point< float, TInputImage::ImageDimension >, TOutput > | |
| itk::ImageFunction< TInputImage, TOutput > | |
| itk::GaussianBlurImageFunction< TInputImage, TOutput > | Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type |
| itk::NeighborhoodOperatorImageFunction< TInputImage, TOutput > | Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type |
| itk::FunctionBase< Point< TCoordRep, TImageType::ImageDimension >, NumericTraits< TImageType::PixelType >::RealType > | |
| itk::ImageFunction< TImageType, NumericTraits< TImageType::PixelType >::RealType, TCoordRep > | |
| itk::InterpolateImageFunction< TImageType, TCoordRep > | |
| itk::BSplineInterpolateImageFunction< TImageType, TCoordRep, TImageType::PixelType > | |
| itk::BSplineResampleImageFunction< TImageType, TCoordRep > | Resample image intensity from a BSpline coefficient image |
| itk::BSplineInterpolateImageFunction< TImageType, TCoordRep, TCoefficientType > | Evaluates the B-Spline interpolation of an image. Spline order may be from 0 to 5 |
| itk::ComplexBSplineInterpolateImageFunction< TImageType, TCoordRep, TCoefficientType > | Complex wrapper around BSplineInterpolateImageFunction |
| itk::FunctionBase< Point< TCoordRep, TInputImage::ImageDimension >, bool > | |
| itk::ImageFunction< TInputImage, bool, TCoordRep > | |
| itk::BinaryThresholdImageFunction< TInputImage, TCoordRep > | Returns true is the value of an image lies within a range of thresholds This ImageFunction returns true (or false) if the pixel value lies within (outside) a lower and upper threshold value. The threshold range can be set with the ThresholdBelow, ThresholdBetween or ThresholdAbove methods. The input image is set via method SetInputImage() |
| itk::NeighborhoodBinaryThresholdImageFunction< TInputImage, TCoordRep > | Determine whether all the pixels in the specified neighborhood meet a threshold criteria |
| itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep > | Returns true if the pixel value of a vector image has a Mahalanobis distance below the value specified by the threshold |
| itk::FunctionBase< Point< TCoordRep, TInputImage::ImageDimension >, Matrix< double, TInputImage::PixelType::Dimension, TInputImage::ImageDimension > > | |
| itk::ImageFunction< TInputImage, Matrix< double, TInputImage::PixelType::Dimension, TInputImage::ImageDimension >, TCoordRep > | |
| itk::VectorCentralDifferenceImageFunction< TInputImage, TCoordRep > | Calculate the derivative by central differencing |
| itk::FunctionBase< Point< TCoordRep, TInputImage::ImageDimension >, NumericTraits< TInputImage::PixelType >::RealType > | |
| itk::ImageFunction< TInputImage, NumericTraits< TInputImage::PixelType >::RealType, TCoordRep > | |
| itk::ExtrapolateImageFunction< TInputImage, TCoordRep > | Base class for all image extrapolaters |
| itk::NearestNeighborExtrapolateImageFunction< TInputImage, TCoordRep > | Nearest neighbor extrapolation of a scalar image |
| itk::InterpolateImageFunction< TInputImage, TCoordRep > | Base class for all image interpolaters |
| itk::GaussianInterpolateImageFunction< TInputImage, TCoordRep > | Evaluates the Gaussian interpolation of an image |
| itk::LabelImageGaussianInterpolateImageFunction< TInputImage, TCoordRep, TPixelCompare > | Interpolation function for multi-label images that implicitly smooths each unique value in the image corresponding to each label set element and returns the corresponding label set element with the largest wieght |
| itk::LinearInterpolateImageFunction< TInputImage, TCoordRep > | Linearly interpolate an image at specified positions |
| itk::NearestNeighborInterpolateImageFunction< TInputImage, TCoordRep > | Nearest neighbor interpolation of a scalar image |
| itk::RayCastInterpolateImageFunction< TInputImage, TCoordRep > | Projective interpolation of an image at specified positions |
| itk::WindowedSincInterpolateImageFunction< TInputImage, VRadius, TWindowFunction, TBoundaryCondition, TCoordRep > | Use the windowed sinc function to interpolate |
| itk::MeanImageFunction< TInputImage, TCoordRep > | Calculate the mean value in the neighborhood of a pixel |
| itk::SumOfSquaresImageFunction< TInputImage, TCoordRep > | Calculate the sum of squares in the neighborhood of a pixel |
| itk::VarianceImageFunction< TInputImage, TCoordRep > | Calculate the variance in the neighborhood of a pixel |
| itk::VectorInterpolateImageFunction< TInputImage, TCoordRep > | Base class for all vector image interpolaters |
| itk::VectorLinearInterpolateImageFunction< TInputImage, TCoordRep > | Linearly interpolate a vector image at specified positions |
| itk::VectorLinearInterpolateNearestNeighborExtrapolateImageFunction< TInputImage, TCoordRep > | Linearly interpolate or NN extrapolate a vector image at specified positions |
| itk::VectorNearestNeighborInterpolateImageFunction< TInputImage, TCoordRep > | Nearest neighbor interpolate a vector image at specified positions |
| itk::VectorMeanImageFunction< TInputImage, TCoordRep > | Calculate the mean value in the neighborhood of a pixel in a Vector image |
| itk::FunctionBase< Point< TCoordRep, TInputImage::ImageDimension >, TInputImage::PixelType > | |
| itk::ImageFunction< TInputImage, TInputImage::PixelType, TCoordRep > | |
| itk::BSplineControlPointImageFunction< TInputImage, TCoordRep > | Evaluate a B-spline object given a grid of control points |
| itk::MedianImageFunction< TInputImage, TCoordRep > | Calculate the median value in the neighborhood of a pixel |
| itk::FunctionBase< Point< TCoordRep, TInputImage::ImageDimension >, TOutput > | |
| itk::ImageFunction< TInputImage, TOutput, TCoordRep > | Evaluates a function of an image at specified position |
| itk::FunctionBase< Point< TCoordRep, TInputImage::ImageDimension >, TOutputType > | |
| itk::ImageFunction< TInputImage, TOutputType, TCoordRep > | |
| itk::CentralDifferenceImageFunction< TInputImage, TCoordRep, TOutputType > | Calculate the derivative by central differencing |
| itk::FunctionBase< Point< TCoordRep, TInputImage::ImageDimension >, vnl_matrix< NumericTraits< TInputImage::PixelType::ValueType >::RealType > > | |
| itk::ImageFunction< TInputImage, vnl_matrix< NumericTraits< TInputImage::PixelType::ValueType >::RealType >, TCoordRep > | |
| itk::CovarianceImageFunction< TInputImage, TCoordRep > | Calculate the covariance matrix in the neighborhood of a pixel in a Vector image |
| itk::ScatterMatrixImageFunction< TInputImage, TCoordRep > | Calculate the scatter matrix in the neighborhood of a pixel in a Vector image |
| itk::FunctionBase< Point< TCoordRep, VSpaceDimension >, double > | |
| itk::SpatialFunction< double, VSpaceDimension, Point< TCoordRep, VSpaceDimension > > | |
| itk::ShapeSignedDistanceFunction< TCoordRep, VSpaceDimension > | Base class for functions which evaluates the signed distance from a shape |
| itk::PCAShapeSignedDistanceFunction< TCoordRep, VSpaceDimension, TImage > | Compute the signed distance from a N-dimensional PCA Shape |
| itk::SphereSignedDistanceFunction< TCoordRep, VSpaceDimension > | Compute the signed distance from a N-dimensional sphere |
| itk::FunctionBase< Point< TOutput, TInputImage::ImageDimension >, SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension > > | |
| itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension >, TOutput > | |
| itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput > | Compute the Hessian Gaussian of an image at a specific location in space by calculating discrete second-order gaussian derivatives. This class is templated over the input image type |
| itk::FunctionBase< Point< TOutput, TInputImage::ImageDimension >, TOutput > | |
| itk::ImageFunction< TInputImage, TOutput, TOutput > | |
| itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput > | Compute the discrete gaussian derivatives of an the image at a specific location in space, i.e. point, index or continuous index. This class computes a single derivative given the order in each direction (by default zero). This class is templated over the input image type |
| itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput > | Compute the discrete gradient magnitude gaussian of an the image at a specific location in space, i.e. point, index or continuous index. This class computes a single derivative given the order in each direction (by default zero). This class is templated over the input image type |
| itk::FunctionBase< Point< TOutput, TInputImage::ImageDimension >, Vector< TOutput, TInputImage::ImageDimension > > | |
| itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput > | |
| itk::GaussianDerivativeImageFunction< TInputImage, TOutput > | Compute the gaussian derivatives of an the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type |
| itk::FunctionBase< ScalarType, ScalarType > | |
| itk::Statistics::RadialBasisFunctionBase< ScalarType > | This is the itkRadialBasisFunctionBase class |
| itk::Statistics::GaussianRadialBasisFunction< ScalarType > | This is the itkGaussianRadialBasisFunction class |
| itk::Statistics::TransferFunctionBase< ScalarType > | This is the itkTransferFunctionBase class |
| itk::Statistics::GaussianTransferFunction< ScalarType > | This is the itkGaussianTransferFunction class |
| itk::Statistics::HardLimitTransferFunction< ScalarType > | This is the itkHardLimitTransferFunction class |
| itk::Statistics::IdentityTransferFunction< ScalarType > | This is the itkIdentityTransferFunction class |
| itk::Statistics::LogSigmoidTransferFunction< ScalarType > | This is the itkLogSigmoidTransferFunction class |
| itk::Statistics::MultiquadricRadialBasisFunction< ScalarType > | This is the itkMultiquadricRadialBasisFunction class |
| itk::Statistics::SigmoidTransferFunction< ScalarType > | This is the itkSigmoidTransferFunction class |
| itk::Statistics::SignedHardLimitTransferFunction< ScalarType > | This is the itkSignedHardLimitTransferFunction class |
| itk::Statistics::SymmetricSigmoidTransferFunction< ScalarType > | This is the itkSymmetricSigmoidTransferFunction class |
| itk::Statistics::TanHTransferFunction< ScalarType > | This is the itkTanHTransferFunction class |
| itk::Statistics::TanSigmoidTransferFunction< ScalarType > | This is the itkTanSigmoidTransferFunction class |
| itk::FunctionBase< TFunction::InputType, bool > | |
| itk::SpatialFunction< bool, TFunction::ImageDimension, TFunction::InputType > | |
| itk::BinaryThresholdSpatialFunction< TFunction > | A spatial functions that returns if the internal spatial function is within user specified thresholds |
| itk::FunctionBase< TInput, bool > | |
| itk::SpatialFunction< bool, VDimension, TInput > | |
| itk::InteriorExteriorSpatialFunction< VImageDimension, TInput > | |
| itk::FrustumSpatialFunction< VImageDimension, TInput > | Spatial function implementation of a truncated pyramid |
| itk::SphereSpatialFunction< VImageDimension, TInput > | Spatial function implementation of a sphere |
| itk::InteriorExteriorSpatialFunction< VDimension, TInput > | Returns whether or not a location is "inside" or "outside" a function |
| itk::ConicShellInteriorExteriorSpatialFunction< VDimension, TInput > | Spatial function implementation of a conic shell |
| itk::EllipsoidInteriorExteriorSpatialFunction< VDimension, TInput > | Function implementation of an ellipsoid |
| itk::FiniteCylinderSpatialFunction< VDimension, TInput > | Function implementation of an finite cylinder |
| itk::SymmetricEllipsoidInteriorExteriorSpatialFunction< VDimension, TInput > | Function implementation of an ellipsoid |
| itk::TorusInteriorExteriorSpatialFunction< VDimension, TInput > | Spatial function implementation of torus symmetric about the z-axis in 3D |
| itk::FunctionBase< TInputPointSet::PointType, TOutput > | |
| itk::PointSetFunction< TInputPointSet, TOutput, TCoordRep > | Evaluates a function of an image at specified position |
| itk::FunctionBase< TMeasurementVector, double > | |
| itk::Statistics::NNetDistanceMetricBase< TMeasurementVector > | This is the itkNNetDistanceMetricBase class |
| itk::Statistics::MembershipFunctionBase< TMeasurementVector > | |
| itk::Statistics::GaussianMembershipFunction< TMeasurementVector > | GaussianMembershipFunction models class membership through a multivariate Gaussian function |
| itk::FunctionBase< TMeasurementVector, ScalarType > | |
| itk::Statistics::ErrorFunctionBase< TMeasurementVector, ScalarType > | |
| itk::Statistics::MeanSquaredErrorFunction< TMeasurementVector, ScalarType > | |
| itk::Statistics::SquaredDifferenceErrorFunction< TMeasurementVector, ScalarType > | This is the itkSquaredDifferenceErrorFunction class |
| itk::Statistics::InputFunctionBase< TMeasurementVector, ScalarType > | |
| itk::Statistics::ProductInputFunction< TMeasurementVector, ScalarType > | This is the itkProductInputFunction class |
| itk::Statistics::SumInputFunction< TMeasurementVector, ScalarType > | This is the itkSumInputFunction class |
| itk::FunctionBase< TMeasurementVector, TTargetVector > | |
| itk::Statistics::ErrorFunctionBase< TMeasurementVector, TTargetVector > | This is the itkErrorFunctionBase class |
| itk::Statistics::InputFunctionBase< TMeasurementVector, TTargetVector > | This is the itkInputFunctionBase class |
| itk::FunctionBase< TMesh, TMesh::EdgeListPointerType > | |
| itk::QuadEdgeMeshBoundaryEdgesMeshFunction< TMesh > | Build a list of references to edges (as GeometricalQuadEdge::RawPointer) each one representing a different boundary component |
| itk::FunctionBase< TPointSet::PointType, TOutput > | |
| itk::PointSetFunction< TPointSet, TOutput, TCoordRep > | |
| itk::ManifoldParzenWindowsPointSetFunction< TPointSet, TOutput, TCoordRep > | Point set function based on n-dimensional parzen windowing |
| itk::FunctionBase< TRealValueType, TRealValueType > | |
| itk::KernelFunctionBase< TRealValueType > | Kernel used for density estimation and nonparameteric regression |
| itk::BSplineDerivativeKernelFunction< VSplineOrder, TRealValueType > | Derivative of a BSpline kernel used for density estimation and nonparameteric regression |
| itk::BSplineKernelFunction< VSplineOrder, TRealValueType > | BSpline kernel used for density estimation and nonparameteric regression |
| itk::CoxDeBoorBSplineKernelFunction< VSplineOrder, TRealValueType > | BSpline kernel used for density estimation and nonparameteric regression |
| itk::GaborKernelFunction< TRealValueType > | Gabor kernel used for various computer vision tasks |
| itk::GaussianKernelFunction< TRealValueType > | Gaussian kernel used for density estimation and nonparameteric regression |
| itk::FunctionBase< TVector, double > | |
| itk::Statistics::DistanceMetric< TVector > | This class declares common interfaces for distance functions |
| itk::Statistics::EuclideanDistanceMetric< TVector > | Euclidean distance function |
| itk::Statistics::EuclideanSquareDistanceMetric< TVector > | Computes Euclidean distance between origin and given measurement vector |
| itk::Statistics::MahalanobisDistanceMetric< TVector > | MahalanobisDistanceMetric class computes a Mahalanobis distance given a mean and covariance |
| itk::Statistics::ManhattanDistanceMetric< TVector > | Euclidean distance function |
| itk::Statistics::MembershipFunctionBase< TVector > | MembershipFunctionBase defines common interfaces for membership functions |
| itk::Statistics::DistanceToCentroidMembershipFunction< TVector > | Distan |
