| itk::Functor::AccessorFunctor< TInput, TAccessor > | Convert an accessor to a functor so that it can be used in a UnaryFunctorImageFilter |
| itk::Functor::Acos< TInput, TOutput > | |
| itk::AcosImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the acos() of its pixels |
| itk::AcosImageFilter< TInputImage, TOutputImage > | Computes the acos(x) pixel-wise |
| itk::Accessor::AcosPixelAccessor< TInternalType, TExternalType > | Give access to the acos() function of a value |
| itk::AdaptImageFilter< TInputImage, TOutputImage, TAccessor > | Convert an image to another pixel type using the specified data accessor |
| itk::Functor::Add1< TInput, TOutput > | |
| itk::Functor::Add2< TInput1, TInput2, TOutput > | |
| itk::Function::Add3< TInput1, TInput2, TInput3, TOutput > | |
| itk::AddImageAdaptor< TImage > | Presents an image as being composed of the log() of its pixels |
| itk::AddImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements an operator for pixel-wise addition of two images |
| itk::Concept::AdditiveOperators< T > | |
| itk::Concept::AdditiveOperators< T >::Constraints | |
| itk::Accessor::AddPixelAccessor< TPixel > | Simulates the effect of adding a constant value to all pixels |
| itk::AffineTransform< TScalarType, NDimensions > | |
| alist | |
| itk::AmoebaOptimizer | Wrap of the vnl_amoeba algorithm |
| itk::AnisotropicDiffusionFunction< TImage > | |
| itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage > | |
| itk::Array< TValueType > | Array class with size defined at construction time |
| itk::Array2D< TValueType > | Array2D class representing a 2D array with size defined at construction time |
| itk::Functor::Asin< TInput, TOutput > | |
| itk::AsinImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the asin() of its pixels |
| itk::AsinImageFilter< TInputImage, TOutputImage > | Computes the asin(x) pixel-wise |
| itk::Accessor::AsinPixelAccessor< TInternalType, TExternalType > | Give access to the asin() function of a value |
| itk::Concept::Assignable< T > | |
| itk::Concept::Assignable< T >::Constraints | |
| itk::Functor::Atan< TInput, TOutput > | |
| itk::Functor::Atan2< TInput1, TInput2, TOutput > | |
| itk::Atan2ImageFilter< TInputImage1, TInputImage2, TOutputImage > | Computes arctangent pixel-wise from two images |
| itk::AtanImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the atan() of its pixels |
| itk::AtanImageFilter< TInputImage, TOutputImage > | Computes the atan(x) pixel-wise |
| itk::Accessor::AtanPixelAccessor< TInternalType, TExternalType > | Give access to the atan() function of a value |
| itk::AutoPointer< TObjectType > | Implements an Automatic Pointer to an object |
| itk::AuxVarTypeDefault< TPixel, VAuxDimension, VSetDimension > | Level set auxiliary variables type information. AuxVarTypeDefault is a simple class that holds type information for auxiliary variables in some level set algorithms. This class is templated over the auxiliary variable data type, the number of auxiliary variables and the level set dimension |
| itk::AzimuthElevationToCartesianTransform< TScalarType, NDimensions > | |
| itk::BackwardDifferenceOperator< TPixel, VDimension, TAllocator > | Operator whose inner product with a neighborhood returns a "half" derivative at the center of the neighborhood |
| Bal | |
| itk::BalloonForce3DFilter< TInputMesh, TOutputMesh > | |
| itk::BalloonForceFilter< TInputMesh, TOutputMesh > | |
| itk::BarycentricCombination< TPointContainer, TWeightContainer > | |
| itk::BilateralImageFilter< TInputImage, TOutputImage > | Blurs an image while preserving edges |
| itk::BinaryBallStructuringElement< TPixel, VDimension, TAllocator > | A Neighborhood that represents a ball structuring element (ellipsoid) with binary elements |
| itk::ImageToImageFilterDetail::BinaryBooleanDispatch< B1, B2 > | Templated class to produce a unique type for a pairing of booleans |
| itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel > | Binary dilation of an image |
| itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel > | Binary dilation of an image |
| itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction > | Implements pixel-wise generic operation of two images |
| itk::ImageToImageFilterDetail::BinaryIntDispatch< D1, D2 > | Templated class to produce a unique type for a pairing of integers |
| itk::BinaryMagnitudeImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements pixel-wise the computation of square root of the sum of squares |
| itk::BinaryMask3DMeshSource< TOutputMesh > | |
| itk::BinaryMedianImageFilter< TInputImage, TOutputImage > | Applies an version of the median filter optimized for binary images |
| itk::BinaryMinMaxCurvatureFlowFunction< TImage > | |
| itk::BinaryMinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage > | Denoise a binary image using min/max curvature flow |
| itk::Functor::BinaryThreshold< TInput, TOutput > | |
| itk::BinaryThresholdImageFilter< TInputImage, TOutputImage > | Binarize an input image by thresholding |
| 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::ImageToImageFilterDetail::BinaryUnsignedIntDispatch< D1, D2 > | Templated class to produce a unique type for a pairing of unsigned integers (usually two dimensions) |
| itk::BinomialBlurImageFilter< TInputImage, TOutputImage > | Performs a separable blur on each dimension of an image |
| itk::BlobSpatialObject< TDimension, PipelineDimension > | Representation of a Blob based on the spatial object classes |
| itk::BloxBoundaryPointImage< VImageDimension > | Templated n-dimensional image class used to store linked lists |
| itk::BloxBoundaryPointImageToBloxBoundaryProfileImageFilter< TSourceImage > | Converts a BloxImage of BloxBoundaryPoints to a BloxImage of BloxBoundaryProfiles |
| itk::BloxBoundaryPointItem< VImageDimension > | A boundary point, stored in a BloxPixel |
| itk::BloxBoundaryPointPixel< NDimensions > | Holds a linked list of itk::BloxBoundaryPointItem's |
| itk::BloxBoundaryPointToCoreAtomImageFilter< dim > | Converts a gradient image to an BloxImage of BloxBoundaryPoints |
| itk::BloxBoundaryProfileImage< VImageDimension > | N-dimensional image class which handles BloxBoundaryProfileItems |
| itk::BloxBoundaryProfileItem< VImageDimension > | |
| itk::BloxBoundaryProfilePixel< NDimensions > | |
| itk::BloxCoreAtomImage< dim > | N-dimensional image class which handles BloxCoreAtomItems |
| itk::BloxCoreAtomItem< VImageDimension > | A core atom object, stored in a BloxPixel |
| itk::BloxCoreAtomPixel< NDimensions > | Holds a linked list of itk::BloxCoreAtomItem's |
| itk::BloxImage< TBloxPixelType, VImageDimension > | Templated n-dimensional image class used to store linked lists |
| itk::BloxItem | An entry in the BloxPixel linked list |
| itk::BloxPixel< TItemType > | Holds a linked list of BloxItem's |
| itk::BluePixelAccessor< T > | Give access to the Blue component of a RGBPixel type |
| itk::ImageToImageFilterDetail::BooleanDispatch<> | Templated class to produce a unique type "true" and "false" |
| itk::watershed::Boundary< TScalarType, TDimension > | |
| itk::watershed::Boundary< TScalarType, TDimension >::face_pixel_t | |
| itk::watershed::Boundary< TScalarType, TDimension >::flat_region_t | |
| itk::watershed::BoundaryResolver< TPixelType, TDimension > | |
| itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer > | Represent and compute information about bounding boxes |
| itk::BSplineCenteredL2ResampleImageFilterBase< TInputImage, TOutputImage > | |
| itk::BSplineCenteredResampleImageFilterBase< TInputImage, TOutputImage > | Evaluates the Centered B-Spline interpolation of an image. Spline order may be from 0 to 5 |
| itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage > | |
| itk::BSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder > | Deformable transform using a BSpline representation |
| itk::BSplineDerivativeKernelFunction< VSplineOrder > | Derivative of a BSpline kernel used for density estimation and nonparameteric regression |
| itk::BSplineDownsampleImageFilter< TInputImage, TOutputImage, ResamplerType > | Down-samples an image by a factor of 2 using B-Spline filter interpolation |
| itk::BSplineInterpolateImageFunction< TImageType, TCoordRep > | Evaluates the B-Spline interpolation of an image. Spline order may be from 0 to 5 |
| itk::BSplineInterpolationWeightFunction< TCoordRep, VSpaceDimension, VSplineOrder > | Returns the weights over the support region used for B-spline interpolation/reconstruction |
| itk::BSplineKernelFunction< VSplineOrder > | BSpline kernel used for density estimation and nonparameteric regression |
| 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::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::BSplineUpsampleImageFilter< TInputImage, TOutputImage, ResamplerType > | |
| itk::BSplineUpsampleImageFilterBase | Uses B-Spline interpolation to upsample an image by a factor of 2. This class is the public interface for spline upsampling as defined by the ResamplerType |
| itk::ByteSwapper< T > | Perform machine dependent byte swapping |
| itk::CacheableScalarFunction | Function cache implementation |
| itk::NeighborhoodAlgorithm::CalculateOutputWrapOffsetModifiers< TImage > | |
| itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage > | |
| itk::Functor::Cast< TInput, TOutput > | |
| itk::CastImageFilter< TInputImage, TOutputImage > | Casts input pixels to output pixel type |
| itk::CellBoundary< TCell > | Wrap an ITK cell so that it behaves like a boundary cell |
| itk::CellInterface< TPixelType, TCellTraits > | |
| 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 > | |
| itk::CellInterfaceVisitorImplementation< TPixelType, TCellTraits, CellTopology, UserVisitor > | |
| 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::CentralDifferenceImageFunction< TInputImage, TCoordRep > | Calculate the derivative by central differencing |
| itk::ChangeInformationImageFilter< TInputImage > | Change the origin, spacing and/or region of an Image |
| itk::fem::itpack::cilist | |
| cilist | |
| itk::ClassifierBase< TDataContainer > | Base class for classifier object |
| cllist | |
| itk::ColorTable< TPixel > | |
| itk::Command | Superclass for callback/observer methods |
| itk::Concept::Comparable< T > | |
| itk::Concept::Comparable< T >::Constraints | |
| complex | |
| itk::CompositeValleyFunction | Multiple valley shaped curve function |
| itk::ConditionalConstIterator< TImage > | ConditionalConstIterator is 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::ConditionalIterator< TImage > | ConditionalIterator is 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::ConfidenceConnectedImageFilter< TInputImage, TOutputImage > | |
| itk::ConicShellInteriorExteriorSpatialFunction< VDimension, TInput > | Spatial function implementation of a conic shell |
| itk::ConjugateGradientOptimizer | Wrap of the vnl_conjugate_gradient |
| itk::ConnectedRegionsMeshFilter< TInputMesh, TOutputMesh > | Extract portions of a mesh that are connected at vertices |
| itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage > | Label pixels that are connected to a seed and lie within a range of values |
| itk::ConstantBoundaryCondition< TImage > | This boundary condition returns a constant value for out-of-bounds image pixels |
| itk::ConstantPadImageFilter< TInputImage, TOutputImage > | Increase the image size by padding with a constant value |
| itk::ConstNeighborhoodIterator< TImage > | Const version of NeighborhoodIterator, defining iteration of a local N-dimensional neighborhood of pixels across an itk::Image |
| itk::ConstRandomAccessNeighborhoodIterator< TImage > | Const version of RandomAccessNeighborhoodIterator, defining iteration of a local N-dimensional neighborhood of pixels across an itk::Image |
| itk::ConstSliceIterator< TPixel, TContainer > | A flexible iterator for itk containers(i.e. itk::Neighborhood) that support pixel access through operator[] |
| itk::ConstSmartNeighborhoodIterator< TImage, TBoundaryCondition > | Const version of SmartNeighborhoodIterator, defining iteration of a local N-dimensional neighborhood of pixels across an itk::Image |
| itk::ConstSparseFieldLayerIterator< TNodeType > | |
| itk::ContinuousIndex< TCoordRep, VIndexDimension > | A templated class holding a point in n-Dimensional image space |
| itk::Concept::Convertible< T1, T2 > | |
| itk::Concept::Convertible< T1, T2 >::Constraints | |
| itk::ConvertPixelBuffer< InputPixelType, OutputPixelType, OutputConvertTraits > | Class to convert blocks of data from one type to another |
| itk::Concept::CopyConstructible< T > | |
| itk::Concept::CopyConstructible< T >::Constraints | |
| itk::Functor::Cos< TInput, TOutput > | |
| itk::CosImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the cos() of its pixels |
| itk::CosImageFilter< TInputImage, TOutputImage > | Computes the cos(x) pixel-wise |
| itk::Accessor::CosPixelAccessor< TInternalType, TExternalType > | Give access to the cos() function of a value |
| itk::CostFunction | Base class for cost functions intended to be used with Optimizers |
| itk::Statistics::CovarianceCalculator< TSample > | Calculates the covariance matrix of the target sample data |
| itk::CovariantVector< T, NCovariantVectorDimension > | A templated class holding a n-Dimensional covariant vector |
| itk::CreateObjectFunction< T > | CreateObjectFunction is used to create callback functions that create ITK Objects for use with the itk::ObjectFactory |
| itk::CreateObjectFunctionBase | Define API for object creation callback functions |
| 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::CStyleCommand | Command subclass that calls a pointer to a C function |
| itk::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::CurvatureFlowFunction< TImage > | |
| itk::CurvatureFlowFunction< TImage >::GlobalDataStruct | |
| itk::CurvatureFlowImageFilter< TInputImage, TOutputImage > | Denoise an image using curvature driven flow |
| itk::CurvatureNDAnisotropicDiffusionFunction< TImage > | |
| itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage > | |
| itk::DataObject | Base class for all data objects in ITK |
| itk::DataObjectError | Exception object for DataObject exceptions |
| itk::DecisionRuleBase | Base class that allows the setting of usage of differnt decision rules used in classification This class has the pure virtual function, Evaluate(). Therefore, any subclass should implement the function to be instantiated |
| itk::Concept::DefaultConstructible< T > | |
| itk::Concept::DefaultConstructible< T >::Constraints | |
| itk::DefaultConvertPixelTraits< PixelType > | Traits class used to by ConvertPixels to convert blocks of pixels |
| itk::DefaultDynamicMeshTraits< TPixelType, VPointDimension, VMaxTopologicalDimension, TCoordRep, TInterpolationWeight, TCellPixelType > | |
| itk::DefaultImageTraits< TPixelType, VImageDimension, TPixelContainer > | |
| itk::DefaultPixelAccessor< TType > | Give access to partial aspects a type |
| itk::DefaultStaticMeshTraits< TPixelType, VPointDimension, VMaxTopologicalDimension, TCoordRep, TInterpolationWeight, TCellPixelType > | |
| itk::DeformableMesh3D | |
| itk::DeformableMesh3DFilter< TInputMesh, TOutputMesh > | |
| itk::DeformableMeshFilter< TInputMesh, TOutputMesh > | |
| itk::DemonsRegistrationFilter< TFixedImage, TMovingImage, TDeformationField > | Deformably register two images using the demons algorithm |
| itk::DemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
| itk::DemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField >::GlobalDataStruct | |
| itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage > | |
| itk::Statistics::DenseFrequencyContainer< TFrequencyValue > | His class is a container for an histogram |
| itk::Statistics::DensityFunction< TMeasurementVector > | DensityFunction class defines common interfaces for density functions |
| itk::DerivativeImageFilter< TInputImage, TOutputImage > | Computes the directional derivative of an image. The directional derivative at each pixel location is computed by convolution with a first-order derivative operator |
| itk::DerivativeOperator< TPixel, VDimension, TAllocator > | A NeighborhoodOperator for taking an n-th order derivative at a pixel |
| itk::DicomImageIO | Read DicomImage file format |
| itk::DicomImageIOFactory | Create instances of DicomImageIO objects using an object factory |
| itk::DifferenceImageFilter< TInputImage, TOutputImage > | Implements pixel-wise comparison of two images |
| itk::DifferenceOfGaussiansGradientImageFilter< TInputImage, TDataType > | Performs difference-of-gaussians gradient detection |
| itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 > | Computes the directed Hausdorff distance between the set of non-zero pixels of two images |
| itk::Directory | Portable directory/filename traversal |
| 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::ImageToImageFilterDetail::DispatchBase | Base class for a class used to dispatch to dimension specific implementations |
| itk::Statistics::DistanceMetric< TVector > | This class declares common interfaces for distance functions |
| itk::Statistics::DistanceToCentroidMembershipFunction< TVector > | DistanceToCentroidMembershipFunction class represents DistanceToCentroid Density Function |
| itk::Function::Div< TInput1, TInput2, TOutput > | |
| itk::DivideImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements an operator for pixel-wise division of two images |
| doublecomplex | |
| itk::DynamicLoader | Portable loading of dynamic libraries or dll's |
| itk::Functor::EdgePotential< TInput, TOutput > | |
| itk::EdgePotentialImageFilter< TInputImage, TOutputImage > | Computes the edge potential of an image from the image gradient |
| EigenAnalysis2DImageFilter | Computes pixel-wise the eigen values and eigen vectors of a 2D symmetrical matrix |
| itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage > | |
| itk::ElasticBodyReciprocalSplineKernelTransform< TScalarType, NDimensions > | |
| itk::ElasticBodySplineKernelTransform< TScalarType, NDimensions > | |
| itk::fem::Element | Abstract base element class |
| itk::fem::Element1DStress< TBaseClass > | Class that is used to define linear elasticity problem in 1D space |
| itk::fem::Element2DC0LinearLine | 2-noded, linear, C0 continuous line element in 2D space |
| itk::fem::Element2DC0LinearLineStress | 2-noded finite element class in 2D space for linear elasticity problem |
| itk::fem::Element2DC0LinearQuadrilateral | 4-noded, linear, C0 continuous finite element in 2D space |
| itk::fem::Element2DC0LinearQuadrilateralMembrane | 4-noded finite element class in 2D space for linear elasticity problem |
| itk::fem::Element2DC0LinearQuadrilateralStress | 4-noded finite element class in 2D space for linear elasticity problem |
| itk::fem::Element2DC0LinearTriangular | 3-noded, linear, C0 continuous finite element in 2D space |
| itk::fem::Element2DC0LinearTriangularMembrane | 3-noded finite element class in 2D space for linear elasticity problem |
| itk::fem::Element2DC0LinearTriangularStress | 3-noded finite element class in 2D space for linear elasticity problem |
| itk::fem::Element2DC0QuadraticTriangular | 3-noded, quadratic, C0 continuous finite element in 2D space |
| itk::fem::Element2DC0QuadraticTriangularStress | 3-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::Element2DMembrane< TBaseClass > | Class that is used to define a membrane energy problem in 2D space |
| itk::fem::Element2DStress< TBaseClass > | Class that is used to define linear elasticity problem in 2D space |
| itk::fem::Element3DC0LinearHexahedron | 8-noded, linear, C0 continuous finite element in 3D space |
| itk::fem::Element3DC0LinearHexahedronMembrane | 8-noded finite element class in 3D space for linear elasticity problem |
| itk::fem::Element3DC0LinearHexahedronStrain | 8-noded finite element class in 3D space for linear elasticity problem |
| itk::fem::Element3DC0LinearTetrahedron | 4-noded, linear, C0 continuous finite element in 3D space |
| itk::fem::Element3DC0LinearTetrahedronMembrane | 4-noded finite element class in 3D space for linear elasticity problem |
| itk::fem::Element3DC0LinearTetrahedronStrain | 4-noded finite element class in 3D space for linear elasticity problem |
| itk::fem::Element3DMembrane< TBaseClass > | Class that is used to define a membrane energy problem in 3D space |
| itk::fem::Element3DStrain< TBaseClass > | Class that is used to define linear elasticity problem in 3D space |
| itk::fem::ElementStd< VNumberOfNodes, VNumberOfSpatialDimensions, TBaseClass > | Implements standard node management in the element classes |
| itk::EllipseSpatialObject< NDimensions, PipelineDimension > | |
| itk::EllipsoidInteriorExteriorSpatialFunction< VDimension, TInput > | |
| itk::EllipsoidSpatialFunction | Function implementation of an ellipsoid |
| itk::EntropyPreservingGradientMagnitudeImageFunction< TInputImage, TCoordRep > | Calculate an entropy satisfying gradient magnitude |
| itk::Concept::EqualityComparable< T > | |
| itk::Concept::EqualityComparable< T >::Constraints | |
| itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension > | |
| itk::watershed::EquivalencyTable | |
| itk::Statistics::EuclideanDistance< TVector > | |
| itk::Euler2DTransform< TScalarType > | Euler2DTransform of a vector space (e.g. space coordinates) |
| itk::EventObject | Abstraction of the Events used to communicating among filters and with GUIs |
| itk::ExceptionObject | Standard exception handling object |
| itk::Function::Exp< TInput, TOutput > | |
| itk::ExpandImageFilter< TInputImage, TOutputImage > | Expand the size of an image by an integer factor in each dimension |
| itk::Statistics::ExpectationMaximizationMixtureModelEstimator< TSample > | Integration point for MembershipCalculator, DecisionRule, and target sample data |
| itk::ExpImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the exp() of its pixels |
| itk::ExpImageFilter< TInputImage, TOutputImage > | Computes the exp(x) pixel-wise |
| itk::Function::ExpNegative< TInput, TOutput > | |
| itk::ExpNegativeImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the exp() of its pixels |
| itk::ExpNegativeImageFilter< TInputImage, TOutputImage > | Computes the exp(x) pixel-wise |
| itk::Accessor::ExpNegativePixelAccessor< TInternalType, TExternalType > | Give access to the exp() function of a value |
| itk::Accessor::ExpPixelAccessor< TInternalType, TExternalType > | Give access to the exp() function of a value |
| itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension > | Extend velocities smoothly from a particular level set |
| itk::ExtractImageFilter< TInputImage, TOutputImage > | Decrease the image size by cropping the image to the selected region bounds |
| itk::ImageToImageFilterDetail::ExtractImageFilterRegionCopier< D1, D2 > | |
| itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage > | Extend auxiliary variables smoothly using Fast Marching |
| itk::FastMarchingImageFilter< TLevelSet, TSpeedImage > | Solve an Eikonal equation using Fast Marching |
| itk::FastMutexLock | Critical section locking class |
| 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::fem::FEMInitialization | FEM Library initialization and housekeeping |
| itk::fem::FEMLightObject | Base class for all classes that define the FEM system |
| itk::fem::FEMObjectFactory< T > | Create objects of derived classes by specifying a class ID |
| itk::fem::FEMP< T > | Pointer used to store polymorphic elements in STL arrays |
| itk::fem::FEMPArray< T > | Array for FEMP objects |
| itk::fem::FEMRegistrationFilter< TReference, TTarget > | FEM Image registration example class |
| itk::fem::FEMRegistrationFilter< TReference, TTarget >::FEMOF | |
| itk::FileOutputWindow | Messages sent from the system are sent to a file |
| itk::FiniteDifferenceFunction< TImageType > | |
| itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage > | |
| itk::FixedArray< TValueType, VLength > | Simulate a standard C array with copy semnatics |
| itk::FixedArray< TValueType, VLength >::ConstReverseIterator | A const reverse iterator through the array |
| itk::FixedArray< TValueType, VLength >::ReverseIterator | A reverse iterator through the array |
| itk::FlipImageFilter< TImage > | Flips an image across user specified axes |
| itk::FloodFilledFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled spatial function |
| itk::FloodFilledFunctionConditionalIterator< TImage, TFunction > | Base class for non-const flood-filled function iterators |
| itk::FloodFilledImageFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled image function |
| itk::FloodFilledImageFunctionConditionalIterator< TImage, TFunction > | Iterates over a flood-filled image function |
| itk::FloodFilledSpatialFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled spatial function |
| itk::FloodFilledSpatialFunctionConditionalIterator< TImage, TFunction > | Iterates over a flood-filled spatial function |
| itk::ForwardDifferenceOperator< TPixel, VDimension, TAllocator > | Operator whose inner product with a neighborhood returns a "half" derivative at the center of the neighborhood |
| itk::FrustumSpatialFunction< VImageDimension, TInput > | Spatial function implementation of a truncated pyramid |
| itk::FunctionBase< TInput, TOutput > | Base class for all ITK function objects |
| itk::Statistics::GaussianDensityFunction< TMeasurementVector > | GaussianDensityFunction class represents Gaussian Density Function |
| itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample > | Provides implemenations of GoodnessOfFitComponentBase's methods for a Gaussian component |
| itk::GaussianImageSource< TOutputImage > | Generate an n-dimensional image of a Gaussian |
| itk::GaussianKernelFunction | Gaussian kernel used for density estimation and nonparameteric regression |
| itk::Statistics::GaussianMixtureModelComponent< TSample > | Calculates sample mean |
| itk::GaussianOperator< TPixel, VDimension, TAllocator > | A NeighborhoodOperator whose coefficients are a one dimensional, discrete Gaussian kernel |
| itk::GaussianSpatialFunction< TOutput, VImageDimension, TInput > | N-dimensional gaussian spatial function class |
| itk::fem::GaussIntegrate | Use the Gauss-Legendre formula to perform integration |
| itk::GeodesicActiveContourImageFilter< TLevelSet, TEdgeImage, TDerivImage > | Edge based shape detection using geodesic active contours |
| itk::GetImageDimension< TImage > | |
| itk::GetVectorDimension< T > | |
| itk::GibbsPriorFilter< TInputImage, TClassifiedImage > | |
| itk::Statistics::GoodnessOfFitComponentBase< TInputSample > | Provides component (module) type specific functionalities for GoodnessOfFitMixtureModelCostFunction |
| itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram > | Base class for classes calculates different types of goodness-of-fit statistics |
| itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample > | Calculates the goodness-of-fit statstics for multivarate mixture model |
| itk::GradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::GradientDescentOptimizer | Implement a gradient descent optimizer |
| itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType > | Computes the gradient of an image using directional derivatives |
| itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage > | Converts a gradient image to an BloxImage of BloxBoundaryPoints |
| itk::Functor::GradientMagnitude< TInput, TOutput > | |
| itk::GradientMagnitudeImageFilter< TInputImage, TOutputImage > | Computes the gradient magnitude of an image region at each pixel |
| itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage > | Computes the Magnitude of the Gradient of an image by convolution with the first derivative of a Gaussian |
| itk::GradientNDAnisotropicDiffusionFunction< TImage > | |
| itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage > | Computes the gradient of an image by convolution with the first derivative of a Gaussian |
| itk::GradientToMagnitudeImageFilter< TInputImage, TOutputImage > | Take an image of vectors as input and produce an image with the magnitude of those vectors |
| itk::GradientVectorFlowImageFilter< TInputImage, TOutputImage > | 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::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale dilation of an image |
| itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel > | Gray scale dilation 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::GreenPixelAccessor< T > | Give access to the Green component of a RGBPixel type |
| itk::hash< Key > | |
| itk::hash< char * > | |
| itk::hash< char > | |
| itk::hash< const char * > | |
| itk::hash< int > | |
| itk::hash< long > | |
| itk::hash< short > | |
| itk::hash< signed char > | |
| itk::hash< unsigned char > | |
| itk::hash< unsigned int > | |
| itk::hash< unsigned long > | |
| itk::hash< unsigned short > | |
| itk::hash_map< Key, T,,, > | Replacement for STL hash map because some systems do not support it, or support it incorrectly |
| itk::hash_multimap< Key, T,,, > | |
| itk::hash_multiset< Value,,, > | |
| itk::hash_set< Value,,, > | Replacement for STL hash set because some systems do not support it, or support it incorrectly |
| itk::hashtable< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > | |
| itk::hashtable_base< Value, Alloc > | |
| itk::hashtable_const_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > | |
| itk::hashtable_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > | |
| itk::hashtable_node< Value > | |
| itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 > | Computes the Hausdorff distance between the set of non-zero pixels of two images |
| itk::HexahedronBoundary< TCellInterface > | |
| itk::HexahedronCell< TCellInterface > | |
| itk::HexahedronCellTopology | |
| itk::Statistics::Histogram< TMeasurement, VMeasurementVectorSize, TFrequencyContainer > | This class stores measurement vectors in the context of n-dimensional histogram |
| itk::Statistics::Histogram< TMeasurement, VMeasurementVectorSize, TFrequencyContainer >::Iterator | |
| itk::HistogramMatchingImageFilter< TInputImage, TOutputImage > | Normalize the grayscale values between two image by histogram matching |
| itk::HybridFilter< TInputImage, TOutputImage, TInputMesh, TOutputMesh > | Computes the gradient of an image by convolution with the first derivative of a Gaussian |
| icilist | |
| itk::IdentityTransform< TScalarType, NDimensions > | Implementation of an Identity Transform |
| itk::Image< TPixel, VImageDimension > | Templated n-dimensional image class |
| itk::ImageAdaptor< TImage, TAccessor > | Give access to partial aspects of voxels from an Image |
| itk::ImageBase< VImageDimension > | Base class for templated image classes |
| itk::ImageBoundaryCondition< TImageType > | A virtual base object that defines an interface to a class of boundary condition objects for use by neighborhood iterators |
| itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator | |
| itk::ImageClassifierBase< TInputImage, TClassifiedImage > | Base class for ImageClassifierBase object |
| itk::ImageConstIterator< TImage > | Multi-dimensional image iterator |
| itk::ImageConstIteratorWithIndex< TImage > | Multi-dimensional image iterator |
| itk::ImageContainerInterface< TElementIdentifier, TElement > | |
| itk::ImageFileReader< TOutputImage, ConvertPixelTraits > | Data source that reads image data from disk files |
| itk::ImageFileReaderException | Base exception class for IO conflicts |
| itk::ImageFileWriter< TInputImage > | The base class for all image data writers |
| itk::ImageFileWriterException | Base exception class for IO problems during writing |
| itk::ImageFunction< TInputImage, TOutput, TCoordRep > | Evaluates a function of an image at specified position |
| itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage > | Base class for ImageGaussianModelEstimator object |
| itk::ImageIO | |
| itk::ImageIOBase | Abstract superclass defines image IO interface |
| itk::ImageIOBase::UnknownType | |
| itk::ImageIOFactory | Create instances of ImageIO objects using an object factory |
| itk::ImageIORegion | An ImageIORegion represents a structured region of data |
| itk::ImageIterator< TImage > | Multi-dimensional image iterator |
| itk::ImageIteratorWithIndex< TImage > | Multi-dimensional image iterator |
| itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction > | Base class for ImageKmeansModelEstimator object |
| itk::ImageLinearConstIteratorWithIndex< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageLinearIteratorWithIndex< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::fem::ImageMetricLoad< TReference, TTarget > | General image pair load that uses the itkImageToImageMetrics |
| itk::fem::ImageMetricLoadImplementation< TLoadClass > | |
| itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction > | Base class for model estimation from images used for classification |
| itk::ImageMomentsCalculator< TImage > | Compute moments of an n-dimensional image |
| itk::ImageRandomConstIteratorWithIndex< TImage > | Multi-dimensional image iterator which walks randomly within a region |
| itk::ImageRandomIteratorWithIndex< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageRegion< VImageDimension > | An image region represents a structured region of data |
| itk::ImageRegionConstIterator< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageRegionConstIteratorWithIndex< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageToImageFilterDetail::ImageRegionCopier< D1, D2 > | Function object used to dispatching to a routine to copy a region (start index and size) |
| itk::ImageRegionExclusionConstIteratorWithIndex< TImage > | Multi-dimensional image iterator which walks a region excluding a second region completly contained in the first |
| itk::ImageRegionExclusionIteratorWithIndex< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageRegionIterator< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageRegionIteratorWithIndex< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageRegionMultidimensionalSplitter< VImageDimension > | Divide a region into several pieces |
| itk::ImageRegionReverseConstIterator< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageRegionReverseIterator< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageRegionSplitter< VImageDimension > | Divide a region into several pieces |
| itk::ImageRegistrationMethod< TFixedImage, TMovingImage > | Base class for Image Registration Methods |
| itk::ImageReverseConstIterator< TImage > | Multi-dimensional image iterator |
| itk::ImageReverseIterator< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageSliceConstIteratorWithIndex< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageSliceIteratorWithIndex< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::ImageSource< TOutputImage > | Base class for all process objects that output image data |
| itk::ImageSource< TOutputImage >::ThreadStruct | |
| ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension >> | |
| ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension >> | |
| ImageSource< BloxCoreAtomImage< dim >> | |
| ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension >> | |
| ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension >> | |
| ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension >> | |
| itk::ImageSpatialObject< NDimensions, TransformType, PixelType, PipelineDimension > | Implementation of an image as spatial object |
| itk::ImageToImageFilter< TInputImage, TOutputImage > | Base class for filters that take an image as input and produce an image as output |
| itk::ImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between regions of two images |
| itk::Statistics::ImageToListAdaptor< TImage > | This class provides ListSample interfaces to ITK Image |
| itk::Statistics::ImageToListAdaptor< TImage >::Iterator | |
| itk::ImageToMeshFilter< TInputImage, TOutputMesh > | |
| itk::ImageToParametricSpaceFilter< TInputImage, TOutputMesh > | Generate a mesh of parametric space from input images |
| itk::ImageWriter< TInputImage > | Base class for all writers that write images |
| itk::ImportImageContainer< TElementIdentifier, TElement > | |
| itk::ImportImageFilter< TPixel, VImageDimension > | Import data from a standard C array into an itk::Image |
| itk::IncompatibleOperandsError | |
| itk::Indent | Control indentation during Print() invocation |
| itk::Index< VIndexDimension > | Represent a n-dimensional index in a n-dimensional image |
| itk::IndexedContainerInterface< TElementIdentifier, TElement > | |
| itk::IndexedContainerInterface< TElementIdentifier, TElement >::ConstIterator | |
| itk::IndexedContainerInterface< TElementIdentifier, TElement >::Iterator | |
| itk::fem::INITClass | Class that is used in FEM_CLASS_INIT macro |
| inlist | |
| itk::ImageToImageFilterDetail::IntDispatch<> | Templated class to produce a unique type for each integer |
| itk::Functor::IntensityLinearTransform< TInput, TOutput > | |
| itk::InteriorExteriorMeshFilter< TInputMesh, TOutputMesh, TSpatialFunction > | |
| itk::InteriorExteriorSpatialFunction< VDimension, TInput > | Returns whether or not a location is "inside" or "outside" a function |
| itk::InterpolateImageFilter< TInputImage, TOutputImage > | Interpolate an image from two N-D images |
| itk::InterpolateImageFunction< TInputImage, TCoordRep > | Base class for all image interpolaters |
| itk::InvalidArgumentError | |
| itk::InvalidRequestedRegionError | |
| itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage > | Label pixels that are connected to one seed but not another |
| itk::IterationReporter | Implements iterations tracking for a filter |
| itk_simple_alloc< T, Alloc > | |
| itk::itkBinaryMask3DSphereMesh | |
| itk::itkBSplineCenteredL2ResampleImageFilterBase | Uses the "Centered L2" B-Spline pyramid implementation of B-Spline Filters to up/down sample an image by a factor of 2 |
| itk::itkBSplineDecompositionImageFilter | Calculates the B-Spline coefficients of an image. Spline order may be from 0 to 5 |
| itk::itkSparseFieldLayer | |
| itk::itkSphere | |
| itk::itkSphereMesh | |
| itk::fem::ItpackSparseMatrix | A 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::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::JoinTraits< TValueType1, TValueType2 > | Trait to determine what datatype is needed if the specified pixel types are "joined" into a single vector |
| itk::JoinTraits< bool, bool > | |
| itk::JoinTraits< bool, char > | |
| itk::JoinTraits< bool, double > | |
| itk::JoinTraits< bool, float > | |
| itk::JoinTraits< bool, int > | |
| itk::JoinTraits< bool, long > | |
| itk::JoinTraits< bool, short > | |
| itk::JoinTraits< bool, unsigned char > | |
| itk::JoinTraits< bool, unsigned int > | |
| itk::JoinTraits< bool, unsigned long > | |
| itk::JoinTraits< bool, unsigned short > | |
| itk::JoinTraits< char, bool > | |
| itk::JoinTraits< char, char > | |
| itk::JoinTraits< char, double > | |
| itk::JoinTraits< char, float > | |
| itk::JoinTraits< char, int > | |
| itk::JoinTraits< char, long > | |
| itk::JoinTraits< char, short > | |
| itk::JoinTraits< char, unsigned char > | |
| itk::JoinTraits< char, unsigned int > | |
| itk::JoinTraits< char, unsigned long > | |
| itk::JoinTraits< char, unsigned short > | |
| itk::JoinTraits< double, bool > | |
| itk::JoinTraits< double, char > | |
| itk::JoinTraits< double, double > | |
| itk::JoinTraits< double, float > | |
| itk::JoinTraits< double, int > | |
| itk::JoinTraits< double, long > | |
| itk::JoinTraits< double, short > | |
| itk::JoinTraits< double, unsigned char > | |
| itk::JoinTraits< double, unsigned int > | |
| itk::JoinTraits< double, unsigned long > | |
| itk::JoinTraits< double, unsigned short > | |
| itk::JoinTraits< float, bool > | |
| itk::JoinTraits< float, char > | |
| itk::JoinTraits< float, double > | |
| itk::JoinTraits< float, float > | |
| itk::JoinTraits< float, int > | |
| itk::JoinTraits< float, long > | |
| itk::JoinTraits< float, short > | |
| itk::JoinTraits< float, unsigned char > | |
| itk::JoinTraits< float, unsigned int > | |
| itk::JoinTraits< float, unsigned long > | |
| itk::JoinTraits< float, unsigned short > | |
| itk::JoinTraits< int, bool > | |
| itk::JoinTraits< int, char > | |
| itk::JoinTraits< int, double > | |
| itk::JoinTraits< int, float > | |
| itk::JoinTraits< int, int > | |
| itk::JoinTraits< int, long > | |
| itk::JoinTraits< int, short > | |
| itk::JoinTraits< int, unsigned char > | |
| itk::JoinTraits< int, unsigned int > | |
| itk::JoinTraits< int, unsigned long > | |
| itk::JoinTraits< int, unsigned short > | |
| itk::JoinTraits< long, bool > | |
| itk::JoinTraits< long, char > | |
| itk::JoinTraits< long, double > | |
| itk::JoinTraits< long, float > | |
| itk::JoinTraits< long, int > | |
| itk::JoinTraits< long, long > | |
| itk::JoinTraits< long, short > | |
| itk::JoinTraits< long, unsigned char > | |
| itk::JoinTraits< long, unsigned int > | |
| itk::JoinTraits< long, unsigned long > | |
| itk::JoinTraits< long, unsigned short > | |
| itk::JoinTraits< short, bool > | |
| itk::JoinTraits< short, char > | |
| itk::JoinTraits< short, double > | |
| itk::JoinTraits< short, float > | |
| itk::JoinTraits< short, int > | |
| itk::JoinTraits< short, long > | |
| itk::JoinTraits< short, short > | |
| itk::JoinTraits< short, unsigned char > | |
| itk::JoinTraits< short, unsigned int > | |
| itk::JoinTraits< short, unsigned long > | |
| itk::JoinTraits< short, unsigned short > | |
| itk::JoinTraits< unsigned char, bool > | |
| itk::JoinTraits< unsigned char, char > | |
| itk::JoinTraits< unsigned char, double > | |
| itk::JoinTraits< unsigned char, float > | |
| itk::JoinTraits< unsigned char, int > | |
| itk::JoinTraits< unsigned char, long > | |
| itk::JoinTraits< unsigned char, short > | |
| itk::JoinTraits< unsigned char, unsigned char > | |
| itk::JoinTraits< unsigned char, unsigned int > | |
| itk::JoinTraits< unsigned char, unsigned long > | |
| itk::JoinTraits< unsigned char, unsigned short > | |
| itk::JoinTraits< unsigned int, bool > | |
| itk::JoinTraits< unsigned int, char > | |
| itk::JoinTraits< unsigned int, double > | |
| itk::JoinTraits< unsigned int, float > | |
| itk::JoinTraits< unsigned int, int > | |
| itk::JoinTraits< unsigned int, long > | |
| itk::JoinTraits< unsigned int, short > | |
| itk::JoinTraits< unsigned int, unsigned char > | |
| itk::JoinTraits< unsigned int, unsigned int > | |
| itk::JoinTraits< unsigned int, unsigned long > | |
| itk::JoinTraits< unsigned int, unsigned short > | |
| itk::JoinTraits< unsigned long, bool > | |
| itk::JoinTraits< unsigned long, char > | |
| itk::JoinTraits< unsigned long, double > | |
| itk::JoinTraits< unsigned long, float > | |
| itk::JoinTraits< unsigned long, int > | |
| itk::JoinTraits< unsigned long, long > | |
| itk::JoinTraits< unsigned long, short > | |
| itk::JoinTraits< unsigned long, unsigned char > | |
| itk::JoinTraits< unsigned long, unsigned int > | |
| itk::JoinTraits< unsigned long, unsigned long > | |
| itk::JoinTraits< unsigned long, unsigned short > | |
| itk::JoinTraits< unsigned short, bool > | |
| itk::JoinTraits< unsigned short, char > | |
| itk::JoinTraits< unsigned short, double > | |
| itk::JoinTraits< unsigned short, float > | |
| itk::JoinTraits< unsigned short, int > | |
| itk::JoinTraits< unsigned short, long > | |
| itk::JoinTraits< unsigned short, short > | |
| itk::JoinTraits< unsigned short, unsigned char > | |
| itk::JoinTraits< unsigned short, unsigned int > | |
| itk::JoinTraits< unsigned short, unsigned long > | |
| itk::JoinTraits< unsigned short, unsigned short > | |
| itk::KalmanLinearEstimator< T, VEstimatorDimension > | Implement a linear recursive estimator |
| itk::Statistics::KdTree< TSample > | KdTree |
| itk::Statistics::KdTree< TSample >::NearestNeighbors | |
| itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree > | Fast k-means algorithm implementation using k-d tree structure |
| itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector | |
| itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate | |
| itk::Statistics::KdTreeGenerator< TSample > | KdTreeGenerator |
| itk::Statistics::KdTreeNode< TSample > | |
| itk::Statistics::KdTreeNonterminalNode< TSample > | |
| itk::Statistics::KdTreeTerminalNode< TSample > | |
| itk::Statistics::KdTreeWeightedCenteroidNonterminalNode< TSample > | |
| itk::KernelFunction | Kernel used for density estimation and nonparameteric regression |
| itk::KernelTransform< TScalarType, NDimensions > | |
| itk::KLMDynamicBorderArray< TBorder > | Object maintaining a reference to a list of border associated with a region |
| itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage > | Base class for a region growing object that performs energy-based region growing for multiband images |
| itk::KLMSegmentationBorder | Base class for KLMSegmentationBorder object |
| itk::KLMSegmentationRegion | Base class for KLMSegmentationRegion object |
| itk::LaplacianImageFilter< TInputImage, TOutputImage > | |
| itk::LaplacianOperator< TPixel, VDimension, TAllocator > | |
| itk::LaplacianSegmentationLevelSetFunction< TImageType, TFeatureImageType > | |
| itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage > | Segments structures in images based on a second derivative image features |
| itk::LBFGSOptimizer | Wrap of the vnl_lbfgs algorithm |
| itk::Concept::LessThanComparable< T > | |
| itk::Concept::LessThanComparable< T >::Constraints | |
| itk::LevelSetCurvatureFunction< TInputImage, TCoordRep > | Calculate the mean curvature of a level set at a specified index |
| 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::LevelSetFunction< TImageType >::GlobalDataStruct | |
| itk::LevelSetFunctionBase< TImageType > | |
| itk::LevelSetImageFilter< TLevelSet > | |
| itk::LevelSetNeighborhoodExtractor< TLevelSet > | Locate pixels of a particular level set |
| itk::LevelSetNode< TPixel, VSetDimension > | Represent a node in a level set |
| itk::LevelSetTypeDefault< TLevelSet > | Level set type information |
| itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension > | Locate pixels of a particular level set |
| itk::LevenbergMarquardtOptimizer | Wrap of the vnl_levenberg_marquardt algorithm |
| itk::LightObject | Light weight base class for most itk classes |
| itk::LightProcessObject | LightProcessObject is the base class for all process objects (source, filters, mappers) in the Insight data processing pipeline |
| itk::LinearInterpolateImageFunction< TInputImage, TCoordRep > | Linearly interpolate an image at specified positions |
| itk::fem::LinearSystemWrapper | Defines all functions required by Solver class to allocate, assemble and solve a linear system of equation |
| itk::fem::LinearSystemWrapperDenseVNL | LinearSystemWrapper class that uses VNL numeric library functions to define a sparse linear system of equations |
| itk::fem::LinearSystemWrapperItpack | LinearSystemWrapper class that uses Itpack numeric library functions to define and solve a sparse linear system of equations |
| itk::fem::LinearSystemWrapperVNL | LinearSystemWrapper class that uses VNL numeric library functions to define a sparse linear system of equations |
| itk::LineBoundary< TCellInterface > | |
| itk::LineCell< TCellInterface > | |
| itk::LineSpatialObject< TDimension, PipelineDimension > | Representation of a Line based on the spatial object classes |
| itk::LineSpatialObjectPoint< TPointDimension > | Point used for a line definition |
| list | |
| itk::Statistics::ListSample< TMeasurementVector > | This class is the base class for containers that have a list of measurement vectors |
| itk::Statistics::ListSampleToHistogramFilter< TListSample, THistogram > | Imports data from ListSample object to Histogram object |
| 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::LoadEdge | A generic load that can be applied to an edge of the element |
| itk::fem::LoadElement | Virtual element load base class |
| itk::fem::LoadGrav | Abstract gravity load class |
| itk::fem::LoadGravConst | Constant gravity load class |
| itk::fem::LoadImplementationGenericBodyLoad | Class that holds a templated generic body load implementation |
| itk::fem::LoadImplementationGenericLandmarkLoad | Class that holds a templated generic landmark load implementation |
| itk::fem::LoadImplementationTest< TLoadClass > | Example implementation of templated LoadTest class |
| itk::fem::LoadLandmark | This load is derived from the motion of a specific landmark |
| itk::fem::LoadNode | This load is applied on a specific point within the system |
| 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::Function::Log< TInput, TOutput > | |
| itk::Function::Log10< TInput, TOutput > | |
| itk::Log10ImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the log10() of its pixels |
| itk::Log10ImageFilter< TInputImage, TOutputImage > | Computes the log10(x) pixel-wise |
| itk::Accessor::Log10PixelAccessor< TInternalType, TExternalType > | Give access to the log10() function of a value |
| itk::LogImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the log() of its pixels |
| itk::LogImageFilter< TInputImage, TOutputImage > | Computes the log(x) pixel-wise |
| itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram > | Calculates loglikelihood ratio statistics |
| itk::Accessor::LogPixelAccessor< TInternalType, TExternalType > | Give access to the log() function of a value |
| itk::Statistics::MahalanobisDistanceMembershipFunction< TVector > | MahalanobisDistanceMembershipFunction class represents MahalanobisDistance Density Function |
| itk::Functor::MakeJoin< TImage1, TImage2 > | |
| itk::MapContainer< TElementIdentifier, TElement > | |
| itk::MapContainer< TElementIdentifier, TElement >::ConstIterator | The const iterator type for the map |
| itk::MapContainer< TElementIdentifier, TElement >::Iterator | The non-const iterator type for the map |
| itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage > | Implements an operator for pixel-wise masking of the input image with the mask |
| itk::Functor::MaskInput< TInput, TMask, TOutput > | |
| 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::Matrix< T, NRows, NColumns > | A templated class holding a M x N size Matrix This class contains a vnl_matrix_fixed in order to make all the vnl mathematical methods available |
| itk::MaxDecisionRule | A Decision rule that choose the class that has maximum value |
| itk::Statistics::MaxDecisionRule | A Decision rule that choose the class that has maximum value |
| itk::Function::Maximum< TInput1, TInput2, TOutput > | |
| itk::MaximumDecisionRule | |
| itk::MaximumImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements a pixel-wise operator Max(a, b) between two images |
| itk::Statistics::MeanCalculator< TSample > | Calculates sample mean |
| itk::MeanImageFilter< TInputImage, TOutputImage > | Applies an averaging filter to an image |
| itk::MeanImageFunction< TInputImage, TCoordRep > | Calculate the mean value in the neighborhood of a pixel |
| itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
| itk::MedianImageFilter< TInputImage, TOutputImage > | Applies a median filter to an image |
| itk::MedianImageFunction< TInputImage, TCoordRep > | Calculate the median value in the neighborhood of a pixel |
| itk::MemberCommand< T > | Command subclass that calls a pointer to a member function |
| itk::Statistics::MembershipFunctionBase< TVector > | MembershipFunctionBase class declares common interfaces for membership functions |
| itk::Statistics::MembershipSample< TSample > | Container for storing the instance-identifiers of other sample with their associated class labels |
| itk::Statistics::MembershipSample< TSample >::Iterator | |
| itk::Statistics::MembershipSampleGenerator< TInputSample, TClassMaskSample > | MembershipSampleGenerator generates a MembershipSample object using a class mask sample |
| itk::Mesh< TPixelType, VDimension, TMeshTraits > | Implements the N-dimensional mesh structure |
| itk::Mesh< TPixelType, VDimension, TMeshTraits >::BoundaryAssignmentIdentifier | |
| itk::MeshRegion | A mesh region represents an unstructured region of data |
| itk::MeshSource< TOutputMesh > | Base class for all process objects that output mesh data |
| itk::MeshToMeshFilter< TInputMesh, TOutputMesh > | |
| itk::MetaImageIO | Read MetaImage file format |
| itk::MetaImageIOFactory | Create instances of MetaImageIO objects using an object factory |
| itk::fem::MFCTerm | Class that holds information about one term in MFC constraint equation |
| itk::Function::Minimum< TInput1, TInput2, TOutput > | |
| itk::MinimumDecisionRule | A Decision rule that choose the class that has minimum value |
| itk::MinimumImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements a pixel-wise operator Max(a, b) between two images |
| itk::MinimumMaximumImageCalculator< TInputImage > | |
| itk::MinimumMaximumImageFilter< TInputImage > | Computes the minimum and the maximum intensity values of an image |
| itk::MinMaxCurvatureFlowFunction< TImage > | |
| itk::MinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage > | Denoise an image using min/max curvature flow |
| itk::MirrorPadImageFilter< TInputImage, TOutputImage > | Increase the image size by padding with replicants of the input image value |
| itk::Statistics::MixtureModelComponentBase< TSample > | Base class for distribution modules that supports analytical way to update the distribution parameters |
| itk::Functor::Modulus2< TInput1, TInput2, TOutput > | |
| itk::Function::Modulus3< TInput1, TInput2, TInput3, TOutput > | |
| itk::Function::ModulusSquare3< TInput1, TInput2, TInput3, TOutput > | |
| itk::MorphologyImageFilter< TInputImage, TOutputImage, TKernel > | Base class for the morphological operations such as erosion and dialation |
| itk::MRASlabIdentifier< TInputImage > | Identifies slab in MR images comparing minimum intensity averages |
| itk::MRFImageFilter< TInputImage, TClassifiedImage > | Implementation of a labeller object that uses Markov Random Fields to classify pixels in an image data set |
| itk::MRIBiasEnergyFunction< TImage, TImageMask, TBiasField > | A cost function for optimization |
| itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage > | Corrects 3D MRI bias field |
| itk::Function::Mult< TInput1, TInput2, TOutput > | |
| itk::MultipleValuedCostFunction | This class is a base for the CostFunctions returning a single value |
| itk::MultipleValuedNonLinearOptimizer | This class is a base for the Optimization methods that optimize a multiple valued function |
| itk::MultipleValuedNonLinearVnlOptimizer | This class is a base for the Optimization methods that optimize a single valued function |
| itk::MultipleValuedVnlCostFunctionAdaptor | This class is an Adaptor that allows to pass itk::MultipleValuedCostFunctions to vnl_optimizers expecting a vnl_cost_function |
| itk::Concept::MultiplicativeOperators< T > | |
| itk::Concept::MultiplicativeOperators< T >::Constraints | |
| itk::MultiplyImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements an operator for pixel-wise multiplication of two images |
| itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage > | Base class for multi-resolution image registration methods |
| itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField > | Framework for perfoming multi-resolution PDE deformable registration |
| itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage > | Framework for creating images in a multi-resolution pyramid |
| itk::MultiThreader | A class for performing multithreaded execution |
| itk::MultiThreader::ThreadInfoStruct | |
| Multitype | |
| MultivariateLegendrePolynomial | 2D and 3D multivariate Legendre Polynomial |
| itk::MultivariateLegendrePolynomial | |
| itk::MultivariateLegendrePolynomial::CoefficientVectorSizeMismatch | |
| itk::MultivariateLegendrePolynomial::SimpleForwardIterator | |
| itk::MutexLock | Mutual exclusion locking class |
| itk::MutexLockHolder< TMutex > | |
| itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage > | Computes the mutual information between two images to be registered |
| Namelist | |
| itk::NaryAddImageFilter< TInputImage, TOutputImage > | Implements an operator for pixel-wise addition of two images |
| itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction > | Implements pixel-wise generic operation of Nth similar images |
| itk::NDimensionalSpatialObject< PipelineDimension > | Implementation of the composite pattern This class permits the creation of NDimensional Spatial Objects whitout any template parameters (except the Pipeline Dimension) In order to satisfy Pipeline requirement, this class uses the image region. \also SpatialObject |
| itk::NearestNeighborFinder< TDataSet, TPoint > | Templated K-nearest neighbor search algorithm |
| itk::NearestNeighborFinder< TDataSet, TPoint >::InvalidInputError | |
| itk::NearestNeighborFinder< TDataSet, TPoint >::NeighborType | |
| itk::NearestNeighborInterpolateImageFunction< TInputImage, TCoordRep > | Nearest neighbor interpolation of a scalar image |
| itk::Neighborhood< TPixel, VDimension, TAllocator > | A light-weight container object for storing an N-dimensional neighborhood of values |
| itk::NeighborhoodAllocator< TPixel > | |
| itk::NeighborhoodBinaryThresholdImageFunction< TInputImage, TCoordRep > | Determine whether all the pixels in the specified neighborhood meet a threshold criteria |
| itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage > | Label pixels that are connected to a seed and lie within a neighborhood |
| itk::NeighborhoodInnerProduct< TImage, TOperator, TComputation > | |
| itk::NeighborhoodIterator< TImage > | Defines iteration of a local N-dimensional neighborhood of pixels across an itk::Image |
| itk::NeighborhoodOperator< TPixel, VDimension, TAllocator > | Virtual class that defines a common interface to all neighborhood operator subtypes |
| itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage > | Applies a single NeighborhoodOperator to an image region |
| itk::Statistics::NeighborhoodSampler< TSample > | Generates a Subsample that is sampled from the input sample using a spherical kernel |
| itk::fem::Node | Class that stores information required to define a node |
| itk::NonLinearOptimizer | Wrap of the vnl_nonlinear_minimizer to be adapted |
| itk::NonThreadedShrinkImageFilter< TInputImage, TOutputImage > | Reduce the size of an image by an integer factor |
| itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
| itk::NormalizedCorrelationPointSetToImageMetric< TTarget, TMapper > | Computes similarity between two objects to be registered |
| itk::NormalizeImageFilter< TInputImage, TOutputImage > | Normalize an image by setting its mean to zero and variance to one |
| itk::Statistics::NormalVariateGenerator | Normal random variate generator |
| itk::NthElementImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the N-th element of its pixels |
| itk::NthElementPixelAccessor< T, TContainer > | Give access to the N-th of a Container type |
| itk::NumericTraits< T > | Define additional traits for native types such as int or float |
| itk::NumericTraits< bool > | Define traits for type bool |
| itk::NumericTraits< char > | Define traits for type char |
| itk::NumericTraits< double > | Define traits for type double |
| itk::NumericTraits< float > | Define traits for type float |
| itk::NumericTraits< int > | Define traits for type int |
| itk::NumericTraits< long > | Define traits for type long |
| itk::NumericTraits< long double > | Define traits for type long double |
| itk::NumericTraits< short > | Define traits for type short |
| itk::NumericTraits< unsigned char > | Define traits for type unsigned char |
| itk::NumericTraits< unsigned int > | Define traits for type unsigned int |
| itk::NumericTraits< unsigned long > | Define traits for type unsigned long |
| itk::NumericTraits< unsigned short > | Define traits for type unsigned short |
| itk::Object | Base class for most itk classes |
| itk::ObjectFactory< T > | Create instances of a class |
| itk::ObjectFactoryBase | Create instances of classes using an object factory |
| itk::ObjectStore< TObjectType > | A specialized memory management object for allocating and destroying contiguous blocks of objects |
| itk::ObjectStore< TObjectType >::MemoryBlock | |
| itk::Offset< VOffsetDimension > | Represent the offset between two n-dimensional indexes in a n-dimensional image |
| olist | |
| itk::OnePlusOneEvolutionaryOptimizer | 1+1 evolutionary strategy optimizer |
| itk::watershed::OneWayEquivalencyTable | |
| itk::Optimizer | Generic representation for an optimization method |
| itk::OStringStream | |
| itk::OtsuThresholdImageCalculator< TInputImage > | Computes the Otsu's threshold for an image |
| itk::OutputWindow | Messages sent from the system are collected by this object |
| itk::OverrideInformation | Internal implementation class for ObjectFactorBase |
| itk::PadImageFilter< TInputImage, TOutputImage > | Increase the image size by padding. Superclass for filters that fill in extra pixels |
| itk::ParametricSpaceToImageSpaceMeshFilter< TInputMesh, TOutputMesh > | |
| itk::PatternIntensityImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
| itk::PatternIntensityPointSetToImageMetric< TTarget, TMapper > | Computes similarity between two objects to be registered |
| itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField > | Deformably register two images using a PDE algorithm |
| itk::PDEDeformableRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
| itk::PermuteAxesImageFilter< TImage > | Permutes the image axes according to a user specified order |
| itk::PixelAccessor< TInternalType, TExternalType > | Give access to partial aspects of a type |
| itk::PixelTraits< TPixelType > | Traits for a pixel that define the dimension and component type |
| itk::PixelTraits< bool > | |
| itk::PixelTraits< char > | |
| itk::PixelTraits< double > | |
| itk::PixelTraits< float > | |
| itk::PixelTraits< int > | |
| itk::PixelTraits< long > | |
| itk::PixelTraits< short > | |
| itk::PixelTraits< unsigned char > | |
| itk::PixelTraits< unsigned int > | |
| itk::PixelTraits< unsigned long > | |
| itk::PixelTraits< unsigned short > | |
| itk::PlaheImageFilter< TImageType > | |
| itk::PNGImageIO | |
| itk::PNGImageIOFactory | Create instances of PNGImageIO objects using an object factory |
| itk::Point< TCoordRep, NPointDimension > | A templated class holding a geometric point in n-Dimensional space |
| itk::PointLocator< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer > | Accelerate geometric searches for points |
| itk::PointSet< TPixelType, VDimension, TMeshTraits > | A superclass of the N-dimensional mesh structure; supports point (geometric coordinate and attribute) definition |
| PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType >> | |
| itk::Statistics::PointSetToListAdaptor< TPointSet > | This class provides ListSample interfaces to ITK Image |
| itk::Statistics::PointSetToListAdaptor< TPointSet >::Iterator | |
| itk::PolygonBoundary< TCellInterface > | |
| itk::PolygonCell< TCellInterface > | |
| itk::ProcessObject | ProcessObject is the base class for all process objects (source, filters, mappers) in the Insight data processing pipeline |
| itk::ProgressReporter | Implements progress tracking for a filter |
| itk::Statistics::PSquareQuantile< TData > | Raj Jain's P-Square algorithm implementation |
| itk::QuadraticEdgeBoundary< TCellInterface > | |
| itk::QuadraticEdgeCell< TCellInterface > | |
| itk::QuadraticTriangleBoundary< TCellInterface > | |
| itk::QuadraticTriangleCell< TCellInterface > | |
| itk::QuadraticTriangleCellTopology | |
| itk::QuadrilateralBoundary< TCellInterface > | |
| itk::QuadrilateralCell< TCellInterface > | |
| itk::QuadrilateralCellTopology | |
| itk::QuaternionRigidTransform< TScalarType > | QuaternionRigidTransform of a vector space (e.g. space coordinates) |
| itk::QuaternionRigidTransformGradientDescentOptimizer | Implement a gradient descent optimizer |
| itk::RandomAccessNeighborhoodIterator< TImage > | Extends the bi-directional NeighborhoodIterator to a random access iterator |
| itk::RandomImageSource< TOutputImage > | Generate an n-dimensional image of random pixel values |
| itk::Statistics::RandomVariateGeneratorBase | This class defines common interfaces for random variate generators |
| itk::RangeError | |
| itk::RawImageIO< TPixel, VImageDimension > | Read and write raw binary images |
| itk::RawImageIOFactory< TPixel, VImageDimension > | |
| itk::RawImageWriter< TInputImage > | Write an image (n-dimensional) in raw format |
| itk::fem::ReadInfoType | Helper class for storing additional information that is required when reading FEM objects from stream |
| itk::ReceptorMemberCommand< T > | Command subclass that calls a pointer to a member function |
| itk::RecursiveGaussianImageFilter< TInputImage, TOutputImage > | Base class for recursive convolution with Gaussian kernel |
| itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage > | Creates a multi-resolution pyramid using a recursive implementation |
| itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage > | Base class for recursive convolution with a kernel |
| itk::RedPixelAccessor< T > | Give access to the red component of a RGBPixel type |
| itk::ReflectImageFilter< TInputImage, TOutputImage > | Implements a Reflection of an image along a selected direction |
| itk::ReflectiveImageRegionConstIterator< TImage > | |
| itk::ReflectiveImageRegionIterator< TImage > | Multi-dimensional image iterator which only walks a region |
| itk::Region | A region represents some portion or piece of data |
| itk::RegionGrowImageFilter< TInputImage, TOutputImage > | Base class for RegionGrowImageFilter object |
| itk::RegistrationMethod< TTraits > | Base class for Registration Methods |
| itk::RegularStepGradientDescentBaseOptimizer | Implement a gradient descent optimizer |
| itk::RegularStepGradientDescentOptimizer | Implement a gradient descent optimizer |
| itk::ReinitializeLevelSetImageFilter< TLevelSet > | Reinitialize the level set to the signed distance function |
| itk::watershed::Relabeler< TScalarType, TImageDimension > | |
| itk::ResampleImageFilter< TInputImage, TOutputImage > | Resample an image via a coordinate transform |
| itk::RescaleIntensityImageFilter< TInputImage, TOutputImage > | Applies a linear transformation to the intensity levels of the input Image |
| itk::RGBAPixel< TComponent > | Represent Red, Green, Blue cand Alpha component for color images |
| itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage > | |
| itk::RGBPixel< TComponent > | Represent Red, Green and Blue component for color images |
| itk::Rigid2DTransform< TScalarType > | Rigid2DTransform of a vector space (e.g. space coordinates) |
| itk::Rigid3DPerspectiveTransform< TScalarType > | Rigid3DTramsform of a vector space (e.g. space coordinates) |
| itk::Rigid3DTransform< TScalarType > | Rigid3DTransform of a vector space (e.g. space coordinates) |
| itk::Concept::SameDimension< D1, D2 > | |
| itk::Concept::SameDimension< D1, D2 >::Constraints | |
| itk::Concept::SameType< T1, T2 > | |
| itk::Concept::SameType< T1, T2 >::Constraints | |
| itk::Statistics::Sample< TMeasurementVector > | Sample defines common iterfaces for each subclasses |
| itk::Statistics::SampleAlgorithmBase< TInputSample > | Calculates sample mean |
| itk::Statistics::SampleClassifier< TSample > | Integration point for MembershipCalculator, DecisionRule, and target sample data |
| itk::Statistics::SampleToHistogramProjectionFilter< TInputSample, THistogramMeasurement > | Projects measurement vectors on to an axis to generate an 1D histogram |
| itk::ScalarAnisotropicDiffusionFunction< TImage > | |
| itk::Functor::ScalarToArrayCast< TInput, TOutput > | |
| itk::ScalarToArrayCastImageFilter< TInputImage, TOutputImage > | Casts input vector pixels to output vector pixel type |
| itk::ScalarVector< TScalar, TVector, TVectorDimension > | A templated class holding bot scalar and vector values and responding to the GetScalar() and GetVector() methods |
| itk::ScaleTransform< TScalarType, NDimensions > | Scale transformation of a vector space (e.g. space coordinates) |
| itk::Scene< PipelineDimension > | A Scene has a list of NDimensionalSpatialObjects |
| itk::SegmentationBorder | Base class for SegmentationBorder object |
| itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType > | |
| itk::SegmentationLevelSetImageFilter< TInputImage, TOutputImage > | A base class which defines the API for implementing a special class of image segmentation filters using level set methods |
| itk::SegmentationRegion | Base class for SegmentationRegion object |
| itk::watershed::Segmenter< TInputImage > | |
| itk::watershed::Segmenter< TInputImage >::connectivity_t | |
| itk::watershed::Segmenter< TInputImage >::flat_region_t | |
| itk::watershed::SegmentTable< TScalarType > | |
| itk::watershed::SegmentTable< TScalarType >::edge_pair_t | |
| itk::watershed::SegmentTable< TScalarType >::segment_t | |
| itk::watershed::SegmentTree< TScalarType > | |
| itk::watershed::SegmentTree< TScalarType >::merge_comp | |
| itk::watershed::SegmentTree< TScalarType >::merge_t | |
| itk::watershed::SegmentTree< TScalarType >::sort_comp | |
| itk::watershed::SegmentTreeGenerator< TScalarType > | |
| itk::ShapeDetectionLevelSetFilter< TLevelSet, TEdgeImage > | Edge based shape detection using a level set approach |
| 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::Similarity2DTransform< TScalarType > | Similarity2DTransform of a vector space (e.g. space coordinates) |
| itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 > | Measures the similarity between the set of non-zero pixels of two images |
| itk::SimpleConstMemberCommand< T > | Command subclass that calls a pointer to a member function |
| itk::SimpleFastMutexLock | Critical section locking class that can be allocated on the stack |
| itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage > | |
| itk::SimpleMemberCommand< T > | Command subclass that calls a pointer to a member function |
| itk::SimpleMutexLock | Simple mutual exclusion locking class |
| itk::Function::Sin< TInput, TOutput > | |
| itk::SingleValuedCostFunction | This class is a base for the CostFunctions returning a single value |
| itk::SingleValuedNonLinearOptimizer | This class is a base for the Optimization methods that optimize a single valued function |
| itk::SingleValuedNonLinearVnlOptimizer | This class is a base for the Optimization methods that optimize a single valued function |
| itk::SingleValuedVnlCostFunctionAdaptor | This class is an Adaptor that allows to pass itk::SingleValuedCostFunctions to vnl_optimizers expecting a vnl_cost_function |
| itk::SinImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the sin() of its pixels |
| itk::SinImageFilter< TInputImage, TOutputImage > | Computes the sin(x) pixel-wise |
| itk::Accessor::SinPixelAccessor< TInternalType, TExternalType > | Give access to the sin() function of a value |
| itk::Size< VDimension > | Represent the size (bounds) of a n-dimensional image |
| itk::SliceIterator< TPixel, TContainer > | A flexible iterator for itk containers(i.e. itk::Neighborhood) that support pixel access through operator[] |
| itk::SmartNeighborhoodInnerProduct< TImage, TOperator, TComputation > | |
| itk::SmartNeighborhoodIterator< TImage, TBoundaryCondition > | An extension of NeighborhoodIterator that automatically performs bounds checking on the image and returns user-supplied boundary conditions for out-of-bounds pixels |
| itk::SmartPointer< TObjectType > | Implements transparent reference counting |
| itk::SmartPointerForwardReference< T > | Implements transparent reference counting in situations where forward references / cyclic include depndencies are a problem |
| itk::SmartVectorNeighborhoodInnerProduct< TImage > | |
| itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage > | Implements the Sobel Edge Detection.The Sobel operator performs a 2D/ND spatial gradient measurement on an image and so emphasizes regions of high spatial gradient that correspond to edges. Typically it is used to find the approximate absolute gradient magnitude at each point in an input greyscale image |
| itk::SobelOperator< TPixel, VDimension, TAllocator > | A NeighborhoodOperator for doing Sobel operation at a pixel |
| itk::fem::Solution | Provides functions to access the values of the solution vector |
| itk::fem::Solver | Main FEM solver |
| itk::fem::SolverCrankNicolson | FEM Solver for time dependent problems; uses Crank-Nicolson implicit discretization scheme |
| itk::fem::SolverHyperbolic | Solver class suitable for hyperbolic problems |
| itk::SparseFieldCityBlockNeighborList< TNeighborhoodType > | A convenience class for storing indicies which reference neighbor pixels within a neighborhood |
| itk::SparseFieldLayer< TNodeType > | |
| itk::SparseFieldLayerIterator< TNodeType > | |
| itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage > | This class implements a finite difference partial differential equation solver for evolving surfaces embedded in volumes as level-sets |
| itk::SparseFieldLevelSetNode< TValueType > | |
| itk::Statistics::SparseFrequencyContainer< TFrequencyValue > | His class is a container for an histogram |
| itk::SpatialFunction< TOutput, VImageDimension, TInput > | N-dimensional spatial function class |
| itk::SpatialFunctionImageEvaluatorFilter< TSpatialFunction, TInputImage, TOutputImage > | Evaluates a SpatialFunction onto a source image |
| itk::SpatialObject< NDimensions, TTransform, PipelineDimension > | Implementation of the composite pattern |
| itk::SpatialObjectPoint< TPointDimension > | Point used for spatial objets |
| itk::SpatialObjectProperty< TComponentType > | |
| itk::SphereMeshSource< TOutputMesh > | |
| itk::SphereSource< TOutputMesh > | |
| itk::SphereSpatialFunction< VImageDimension, TInput > | Spatial function implementation of a sphere |
| itk::Function::Sqrt< TInput, TOutput > | |
| itk::SqrtImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the sqrt() of its pixels |
| itk::SqrtImageFilter< TInputImage, TOutputImage > | Computes the sqrt(x) pixel-wise |
| itk::Accessor::SqrtPixelAccessor< TInternalType, TExternalType > | Give access to the sqrt() function of a value |
| itk::StatisticsImageFilter< TInputImage > | Compute min. max, variance and mean of an Image |
| itk::StreamingImageFilter< TInputImage, TOutputImage > | Pipeline object to control data streaming for large data processing |
| itk::Function::Sub2< TInput1, TInput2, TOutput > | |
| itk::Statistics::Subsample< TSample > | |
| itk::Statistics::Subsample< TSample >::Iterator | |
| itk::SubtractImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements an operator for pixel-wise substraction of two images |
| itk::SurfaceSpatialObject< TDimension, PipelineDimension > | Representation of a Surface based on the spatial object classes |
| itk::SurfaceSpatialObjectPoint< TPointDimension > | Point used for a Surface definition |
| itk::SymmetricEigenSystem< TMatrixElement, VNumberOfRows > | Wrapper of the vnl_symmetric_eigensystem algorithm |
| itk::SymmetricEllipsoidInteriorExteriorSpatialFunction< VDimension, TInput > | |
| itk::Statistics::TableLookupSampleClassifier< TSample > | Integration point for MembershipCalculator, DecisionRule, and target sample data with a pre-calculated look up table |
| itk::Function::Tan< TInput, TOutput > | |
| itk::TanImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the tan() of its pixels |
| itk::TanImageFilter< TInputImage, TOutputImage > | Computes the tan(x) pixel-wise |
| itk::Accessor::TanPixelAccessor< TInternalType, TExternalType > | Give access to the tan() function of a value |
| itk::TargetClass | |
| itk::TCell | Template parameter used to define superclass for CellBoundary |
| itk::TernaryAddImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage > | Implements pixel-wise addition of three images |
| itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction > | Implements pixel-wise generic operation of three images |
| itk::TernaryMagnitudeImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage > | Implements pixel-wise addition of three images |
| itk::TernaryMagnitudeSquaredImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage > | Implements pixel-wise addition of three images |
| itk::TetrahedronBoundary< TCellInterface > | |
| itk::TetrahedronCell< TCellInterface > | |
| itk::TetrahedronCellTopology | |
| itk::TextOutput | |
| itk::ThinPlateR2LogRSplineKernelTransform< TScalarType, NDimensions > | |
| itk::ThinPlateSplineKernelTransform< TScalarType, NDimensions > | |
| itk::ThresholdImageFilter< TImage > | Set image values to a user-specified value if they are below, above, or between simple threshold values |
| itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType > | This function is used in ThresholdSegmentationLevelSetImageFilter to segment structures in images based on intensity values |
| itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TOutputImage > | Segments structures in images based on intensity values |
| itk::TimeProbe | |
| itk::TimeProbesCollectorBase | |
| itk::TimeStamp | Generate a unique, increasing time value |
| 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::TorusInteriorExteriorSpatialFunction< VDimension, TInput > | Spatial function implementation of torus symmetric about the z-axis in 3D |
| itk::Transform< TScalarType, NInputDimensions, NOutputDimensions > | Generic concept of transformation methods |
| itk::TransformMeshFilter< TInputMesh, TOutputMesh, TTransform > | |
| itk::TranslationTransform< TScalarType, NDimensions > | Translation transformation of a vector space (e.g. space coordinates) |
| itk::TriangleBoundary< TCellInterface > | |
| itk::TriangleCell< TCellInterface > | |
| itk::TriangleCellTopology | |
| itk::TubeNetworkSpatialObject< TDimension, PipelineDimension > | Network of tubes as spatial object |
| itk::TubeSpatialObject< TDimension, PipelineDimension > | Representation of a tube based on the spatial object classes |
| itk::TubeSpatialObjectPoint< TPointDimension > | Point used for a tube definition |
| itk::TwoOutputExampleImageFilter< TImage > | Example of a filter that produce two outputs |
| itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction > | Implements pixel-wise generic operation on one image |
| itk::Concept::Detail::UniqueType< T > | |
| itk::Concept::Detail::UniqueType_int<> | |
| itk::Concept::Detail::UniqueType_unsigned_int< int > | |
| itk::ImageToImageFilterDetail::UnsignedIntDispatch< int > | Templated class to produce a unique type for each unsigned integer (usually a dimension) |
| itk::UpwindDerivativeImageFunction< TInputImage, TCoordRep > | Calculate the derivative using only upwind neighbors |
| itk::ValarrayImageContainer< TElementIdentifier, TElement > | |
| Vardesc | |
| itk::VarianceImageFunction< TInputImage, TCoordRep > | Calculate the variance in the neighborhood of a pixel |
| vcl_simple_alloc< T, Alloc > | |
| itk::Vector< T, NVectorDimension > | A templated class holding a n-Dimensional vector |
| itk::VectorAnisotropicDiffusionFunction< TImage > | |
| itk::Functor::VectorCast< TInput, TOutput > | |
| itk::VectorCastImageFilter< TInputImage, TOutputImage > | Casts input vector pixels to output vector pixel type |
| itk::VectorContainer< TElementIdentifier, TElement > | |
| itk::VectorContainer< TElementIdentifier, TElement >::ConstIterator | |
| itk::VectorContainer< TElementIdentifier, TElement >::Iterator | |
| itk::VectorCurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage > | |
| itk::VectorExpandImageFilter< TInputImage, TOutputImage > | Expand the size of a vector image by an integer factor in each dimension |
| itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage > | |
| itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::VectorGradientNDAnisotropicDiffusionFunction< TImage > | |
| itk::Functor::VectorIndexSelectionCast< TInput, TOutput > | |
| itk::VectorIndexSelectionCastImageFilter< TInputImage, TOutputImage > | Extracts the selected index of the vector that is the input pixel type |
| itk::VectorInterpolateImageFunction< TInputImage, TCoordRep, TPixelType > | Base class for all vector image interpolaters |
| itk::VectorLinearInterpolateImageFunction< TInputImage, TCoordRep > | Linearly interpolate a vector image at specified positions |
| itk::VectorNeighborhoodInnerProduct< TImage > | |
| itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage > | Applies a single scalar NeighborhoodOperator to an itk::Vector image region |
| itk::Version | Track the current version of the software |
| itk::Versor< T > | A templated class holding a unit quaternion |
| itk::VersorRigid3DTransform< TScalarType > | VersorRigid3DTransform of a vector space (e.g. space coordinates) |
| itk::VersorTransform< TScalarType > | |
| itk::VersorTransformOptimizer | Implement a gradient descent optimizer |
| itk::VertexBoundary< TCellInterface > | |
| itk::VertexCell< TCellInterface > | |
| itk::fem::VisitorDispatcher< TVisitedClass, TVisitorBase, TVisitFunctionPointerType > | This class provides the functionality needed to apply the correct visitor function to object of some class. The specific visitor function is choosen, based on a given pointer to some object |
| itk::fem::VisitorDispatcherTemplateHelper< TVisitedClass, TVisitorBase > | |
| vnl_alloc | |
| vnl_amoeba | |
| vnl_amoeba_SimplexCorner | |
| vnl_brent | |
| vnl_c_vector< T > | |
| vnl_cholesky | |
| vnl_complex_eigensystem | |
| vnl_complex_traits< T > | |
| vnl_complex_traits< vcl_complex< double > > | |
| vnl_complex_traits< vcl_complex< float > > | |
| vnl_conjugate_gradient | |
| vnl_cost_function | |
| vnl_cpoly_roots | |
| vnl_cross_product_matrix | |
| vnl_diag_matrix< T > | |
| vnl_double_2x3 | |
| vnl_double_3x2 | |
| vnl_fastops | |
| vnl_fft1d< T > | |
| vnl_fft2d< T > | |
| vnl_fft_1d< T > | |
| vnl_fft_2d< T > | |
| vnl_fft_base< D, T > | |
| vnl_fft_prime_factors< T > | |
| vnl_fftxd_prime_factors< T > | |
| vnl_file_matrix< T > | |
| vnl_file_vector< T > | |
| vnl_fortran_copy< T > | |
| vnl_gaussian_kernel_1d | |
| vnl_generalized_eigensystem | |
| vnl_identity< T > | |
| vnl_identity_3x3 | |
| vnl_int_matrix | |
| vnl_lbfgs | |
| vnl_least_squares_cost_function | |
| vnl_least_squares_function | |
| vnl_levenberg_marquardt | |
| vnl_linear_system | |
| vnl_lsqr | |
| vnl_math | |
| vnl_matlab_filewrite | |
| vnl_matlab_header | |
| vnl_matlab_print_proxy< T > | |
| vnl_matlab_readhdr | |
| vnl_matops | |
| vnl_matrix< T > | |
| vnl_matrix_fixed< T, m, n > | |
| vnl_matrix_fixed_ref< T, m, n > | |
| vnl_matrix_inverse< T > | |
| vnl_matrix_ref< T > | |
| vnl_netlib | |
| vnl_nonlinear_minimizer | |
| vnl_numeric_limits< T > | |
| vnl_numeric_limits< double > | |
| vnl_numeric_limits< float > | |
| vnl_numeric_limits< long > | |
| vnl_numeric_limits< short > | |
| vnl_numeric_limits< unsigned char > | |
| vnl_numeric_limits< unsigned long > | |
| vnl_numeric_limits< unsigned short > | |
| vnl_numeric_limits< vnl_tmp_signed32 > | |
| vnl_numeric_traits< T > | |
| vnl_numeric_traits< bool > | |
| vnl_numeric_traits< double > | |
| vnl_numeric_traits< float > | |
| vnl_numeric_traits< int > | |
| vnl_numeric_traits< long > | |
| vnl_numeric_traits< long double > | |
| vnl_numeric_traits< short > | |
| vnl_numeric_traits< signed char > | |
| vnl_numeric_traits< unsigned char > | |
| vnl_numeric_traits< unsigned int > | |
| vnl_numeric_traits< unsigned long > | |
| vnl_numeric_traits< unsigned short > | |
| vnl_numeric_traits< vcl_complex< double > > | |
| vnl_numeric_traits< vcl_complex< float > > | |
| vnl_numeric_traits< vcl_complex< long double > > | |
| vnl_powell | |
| vnl_qr< T > | |
| vnl_quaternion< T > | |
| vnl_real_eigensystem | |
| vnl_real_npolynomial | |
| vnl_real_polynomial | |
| vnl_rnpoly_solve | |
| vnl_rpoly_roots | |
| vnl_scalar_join_iterator< T > | |
| vnl_scalar_join_iterator_indexed_pair< T > | |
| vnl_scatter_3x3< T > | |
| vnl_sparse_matrix< T > | |
| vnl_sparse_matrix_linear_system< T > | |
| vnl_sparse_matrix_pair< T > | |
| vnl_sparse_matrix_pair< T >::less | |
| vnl_sparse_symmetric_eigensystem | |
| vnl_svd< T > | |
| vnl_symmetric_eigensystem< T > | |
| vnl_tag_add | |
| vnl_tag_div | |
| vnl_tag_grab | |
| vnl_tag_mul | |
| vnl_tag_sub | |
| vnl_transpose | |
| vnl_unary_function< Return, Argument > | |
| vnl_vector< T > | |
| vnl_vector_dereference< T > | |
| vnl_vector_fixed< T, n > | |
| vnl_vector_ref< T > | |
| itk::VOLImageIO | Read and write .VOL 3D ultrasound images |
| itk::VOLImageIOFactory | Create instances of VOLImageIO objects using an object factory |
| itk::VolumeSplineKernelTransform< TScalarType, NDimensions > | |
| itk::VoronoiDiagram2D< TCoordType > | Implements the 2-Dimensional Voronoi Diagram |
| itk::VoronoiDiagram2D< TCoordType >::VoronoiEdge | |
| itk::VoronoiDiagram2DGenerator< TCoordType > | Implement the Sweep Line Algorithm for the construction of the 2D Voronoi Diagram |
| itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage > | |
| itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage > | |
| itk::VoronoiSegmentationRGBImageFilter< TInputImage, TOutputImage > | |
| itk::VTKImageExport< TInputImage > | Connect the end of an ITK image pipeline to a VTK pipeline |
| itk::VTKImageExportBase | Superclass for VTKImageExport instantiations |
| itk::VTKImageImport< TOutputImage > | Connect the end of an VTK pipeline to an ITK image pipeline |
| itk::VTKImageIO | |
| itk::VTKImageIOFactory | Create instances of VTKImageIO objects using an object factory |
| itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField > | Warps an image using an input deformation field |
| 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::WatershedMiniPipelineProgressCommand | |
| itk::watershed::WatershedSegmenter | |
| itk::watershed::WatershedSegmentTreeGenerator | |
| itk::WeakPointer< TObjectType > | Implements a weak reference to an object |
| itk::Statistics::WeightedCenteroidKdTreeGenerator< TSample > | WeightedCenteroidKdTreeGenerator |
| itk::Statistics::WeightedCovarianceCalculator< TSample > | Calculates the covariance matrix of the target sample data where each measurement vector has an associated weight value |
| itk::Statistics::WeightedMeanCalculator< TSample > | Calculates sample mean where each measurement vector has associated weight value |
| itk::Win32OutputWindow | Collect error and debug messages on Win32-based systems |
| itk::WrapPadImageFilter< TInputImage, TOutputImage > | Increase the image size by padding with replicants of the input image value |
| itk::Writer | The base class for all data writers |
| itk::XMLFileOutputWindow | Messages sent from the system are sent to a file with each message enclosed by XML tags |
| itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage > | |
| itk::ZeroCrossingImageFilter< TInputImage, TOutputImage > | |
| itk::ZeroFluxNeumannBoundaryCondition< TImage > | 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 |
