![\[ w(x) = 0.42 + 0.5 cos(\frac{\pi x}{m}) + 0.08 cos(\frac{2 \pi x}{m}) \]](form_193.png)
![\[ w(x) = cos(\frac{\pi x}{2 m} ) \]](form_189.png)
| itk::AbortCheckEvent | |
| itk::AbortEvent | |
| itk::Function::Abs< TInput, TOutput > | |
| itk::AbsImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_abs() of its pixels |
| itk::AbsImageFilter< TInputImage, TOutputImage > | Computes the ABS(x) pixel-wise |
| itk::Functor::AbsoluteValueDifference2< TInput1, TInput2, TOutput > | |
| itk::AbsoluteValueDifferenceImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements pixel-wise the computation of absolute value difference |
| itk::Accessor::AbsPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_abs() function of a value |
| itk::Functor::AccessorFunctor< TInput, TAccessor > | Convert an accessor to a functor so that it can be used in a UnaryFunctorImageFilter |
| itk::AccumulateImageFilter< TInputImage, TOutputImage > | Implements an accumulation of an image along a selected direction |
| itk::Functor::Acos< TInput, TOutput > | |
| itk::AcosImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_acos() of its pixels |
| itk::AcosImageFilter< TInputImage, TOutputImage > | Computes the vcl_acos(x) pixel-wise |
| itk::Accessor::AcosPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_acos() function of a value |
| itk::ActiveShapeModelCalculator< TImage > | Base class for ActiveShapeModelCalculator object |
| itk::ActiveShapeModelGradientSearchMethod< TImage > | Base class for ActiveShapeModelGradientSearchMethod object |
| itk::AdaptImageFilter< TInputImage, TOutputImage, TAccessor > | Convert an image to another pixel type using the specified data accessor |
| itk::AdaptiveHistogramEqualizationImageFilter< TImageType > | |
| 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 vcl_log() of its pixels |
| itk::AddImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements an operator for pixel-wise addition of two images |
| itk::Concept::AdditiveOperators< T1, T2, T3 > | |
| itk::Concept::AdditiveOperators< T1, T2, T3 >::Constraints | |
| itk::Accessor::AddPixelAccessor< TPixel > | Simulates the effect of adding a constant value to all pixels |
| itk::AffineGeometryFrame< TScalarType, NDimensions > | Describes the geometry of a data object |
| itk::AffineTransform< TScalarType, NDimensions > | |
| itk::AmoebaOptimizer | Wrap of the vnl_amoeba algorithm |
| itk::AnalyzeImageIO | Class that defines how to read Analyze file format. Analyze IMAGE FILE FORMAT - As much information as I can determine from the Medical image formats web site, and the Analyze75.pdf file provided from the Mayo clinic. A special note of thanks to Dennis P. Hanson (dph@mayo.edu) for his generous contributions in getting this information correct |
| itk::AnalyzeImageIOFactory | Create instances of AnalyzeImageIO objects using an object factory |
| itk::Functor::AND< TInput1, TInput2, TOutput > | |
| itk::AndImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements the AND logical operator pixel-wise between two images |
| itk::AnisotropicDiffusionFunction< TImage > | |
| itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::AnisotropicFourthOrderLevelSetImageFilter< TInputImage, TOutputImage > | This class implements the 4th-order level set anisotropic diffusion (smoothing) PDE |
| itk::AnnulusOperator< TPixel, TDimension, TAllocator > | A NeighborhoodOperator for performing a matched filtering with an annulus (two concentric circles, spheres, hyperspheres, etc.) |
| itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage > | |
| itk::AnyEvent | |
| itk::ApproximateSignedDistanceMapImageFilter< TInputImage, TOutputImage > | Create a map of the approximate signed distance from the boundaries of a binary image |
| itk::ArchetypeSeriesFileNames | Generate an ordered sequence of filenames |
| 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::ArrowSpatialObject< TDimension > | Representation of a Arrow based on the spatial object classes |
| itk::Functor::Asin< TInput, TOutput > | |
| itk::AsinImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_asin() of its pixels |
| itk::AsinImageFilter< TInputImage, TOutputImage > | Computes the vcl_asin(x) pixel-wise |
| itk::Accessor::AsinPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_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 vcl_atan() of its pixels |
| itk::AtanImageFilter< TInputImage, TOutputImage > | Computes the vcl_atan(x) pixel-wise |
| itk::Accessor::AtanPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_atan() function of a value |
| itk::AutomaticTopologyMeshSource< TOutputMesh > | Convenience class for generating meshes |
| itk::AutomaticTopologyMeshSource< TOutputMesh >::IdentifierArrayEqualsFunction | |
| itk::AutomaticTopologyMeshSource< TOutputMesh >::IdentifierArrayHashFunction | |
| itk::AutoPointer< TObjectType > | Implements an Automatic Pointer to an object |
| itk::AutoPointerDataObjectDecorator< T > | Decorates any pointer to a simple object with a DataObject API using AutoPointer semantics |
| 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 > | Transforms from an azimuth, elevation, radius coordinate system to a Cartesian coordinate system, or vice versa |
| itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector > | |
| itk::BackwardDifferenceOperator< TPixel, TDimension, TAllocator > | Operator whose inner product with a neighborhood returns a "half" derivative at the center of the neighborhood |
| itk::BalloonForceFilter< TInputMesh, TOutputMesh > | BalloonForceFilter is used to apply balloon force and the potential force onto the 2D deformable model. For 3D (multi-slices) segmentation please use BalloonForce3DFilter The balloon force is vertical to the surface of the model. The potential force is given out by the estimated boundary points. These two will meet a balance at the boundary, thus the deformable model will fit to the boundary. Users should use deformable model as input using SetInput and also provide the filter with a potential image which will provide the estimated bounday. The image should be a binary image with object and background labelled differently. These image can be given by GibbsPriorFilter or any other segmentation filters. When the nodes on the model stopped at the estimated boundary, using the GradientFit method to fit the model using the gradient information in the original image |
| itk::BandNode< TIndexType, TDataType > | |
| itk::Barrier | Standard barrier class implementation for synchronizing the execution of threads |
| itk::BarycentricCombination< TPointContainer, TWeightContainer > | |
| itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
| itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > | Performs Bayesian Classification on an image |
| itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType > | This filter is intended to be used as a helper class to initialize the BayesianClassifierImageFilter. The goal of this filter is to generate a membership image that indicates the membership of each pixel to each class. These membership images are fed as input to the bayesian classfier filter |
| itk::BilateralImageFilter< TInputImage, TOutputImage > | Blurs an image while preserving edges |
| itk::Function::BinaryAccumulator< TInputPixel, TOutputPixel > | |
| 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::BinaryCrossStructuringElement< TPixel, VDimension, TAllocator > | A Neighborhood that represents a cross structuring element with binary elements |
| itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel > | Fast binary dilation |
| itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel > | Fast binary erosion |
| 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< TInputImage, TOutputMesh > | |
| itk::BinaryMaskToNarrowBandPointSetFilter< TInputImage, TOutputMesh > | Generate a PointSet containing the narrow band around the edges of a input binary image |
| itk::BinaryMedialNodeMetric< VDimensions > | |
| 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::BinaryMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel > | Binary morphological closing of an image |
| itk::BinaryMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel > | Binary morphological closing of an image |
| itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel > | Base class for fast binary dilation and erosion |
| itk::BinaryProjectionImageFilter< TInputImage, TOutputImage > | Binary projection |
| itk::BinaryPruningImageFilter< TInputImage, TOutputImage > | This filter removes "spurs" of less than a certain length in the input image |
| itk::BinaryThinningImageFilter< TInputImage, TOutputImage > | This filter computes one-pixel-wide edges of the input image |
| itk::Functor::BinaryThreshold< TInput, TOutput > | |
| itk::Function::BinaryThresholdAccumulator< TInputPixel, TOutputPixel > | |
| 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::BinaryThresholdProjectionImageFilter< TInputImage, TOutputImage > | BinaryThreshold projection |
| itk::BinaryThresholdSpatialFunction< TFunction > | A spatial functions that returns if the internal spatial function is within user specified thresholds |
| 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::BioRadImageIO | ImageIO class for reading Bio-Rad images. Bio-Rad file format are used by confocal micropscopes like MRC 1024, MRC 600 http://www.bio-rad.com/ |
| itk::BioRadImageIOFactory | Create instances of BioRadImageIO objects using an object factory |
| itk::Function::BlackmanWindowFunction< VRadius, TInput, TOutput > | Window function for sinc interpolation.
|
| itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel > | Black top hat extract local minima that are larger than the structuring element |
| itk::BlobSpatialObject< TDimension > | Spatial object representing a potentially amorphous object |
| itk::BloxBoundaryPointImage< TImageDimension > | 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< TImageDimension > | N-dimensional image class which handles BloxBoundaryProfileItems |
| itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage > | |
| itk::BloxBoundaryProfileItem< TImageDimension > | |
| itk::BloxBoundaryProfilePixel< NDimensions > | |
| itk::BloxCoreAtomImage< NDimension > | 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, TImageDimension > | 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::BMPImageIO | Read BMPImage file format |
| itk::BMPImageIOFactory | Create instances of BMPImageIO objects using an object factory |
| 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::Functor::BoundedReciprocal< TInput, TOutput > | |
| itk::BoundedReciprocalImageFilter< TInputImage, TOutputImage > | Computes 1/(1+x) for each pixel in the image |
| itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer > | Represent and compute information about bounding boxes |
| itk::BoxSpatialObject< TDimension > | The class may be used to represent N-dimensional boxes. In two dimensions it is a rectangle, In three dimensions it is a cuboid.. |
| itk::Concept::BracketOperator< T1, T2, T3 > | |
| itk::Concept::BracketOperator< T1, T2, T3 >::Constraints | |
| itk::Brains2HeaderFactory | Create instances of Brains2Header objects using an object factory |
| itk::Brains2IPLHeaderInfo | |
| itk::Brains2MaskHeaderInfo | |
| itk::Brains2MaskImageIO | Class that defines how to read Brains2Mask file format |
| itk::Brains2MaskImageIOFactory | Create instances of Brains2MaskImageIO objects using an object factory |
| 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, TCoefficientType > | 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::BSplineResampleImageFunction< TImageType, TCoordRep > | Resample image intensity from a BSpline coefficient image |
| itk::BSplineUpsampleImageFilter< TInputImage, TOutputImage, ResamplerType > | |
| 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::CannySegmentationLevelSetFunction< TImageType, TFeatureImageType > | A refinement of the standard level-set function which computes a speed term and advection term based on pseudo-Canny edges. See CannySegmentationLevelSetImageFilter for complete information |
| itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in images based on image features derived from pseudo-canny-edges |
| itk::Functor::Cast< TInput, TOutput > | |
| itk::CastImageFilter< TInputImage, TOutputImage > | Casts input pixels to output pixel type |
| itk::bio::Cell< NSpaceDimension > | This class implement the minimal behavior of a biological cell. The basic behavior of a cell is related with the cell cycle. Geometrical concepts like size and shape are also managed by this abstract cell |
| itk::bio::CellBase | Non-templated Base class from which the templated Cell classes will be derived. Derived classes are instantiated for a specific space dimension |
| 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::bio::CellularAggregate< NSpaceDimension > | This class represent an aggregation of bio::Cell objects This class is the base for different types of cellular groups including bacterial colonies and pluricellular organisms |
| itk::bio::CellularAggregateBase | Base class for the CellularAggregates. This base class is not templated over the space dimension |
| itk::CenteredAffineTransform< TScalarType, NDimensions > | Affine transformation with a specified center of rotation |
| itk::CenteredEuler3DTransform< TScalarType > | CenteredEuler3DTransform of a vector space (e.g. space coordinates) |
| itk::CenteredRigid2DTransform< TScalarType > | CenteredRigid2DTransform of a vector space (e.g. space coordinates) |
| itk::CenteredSimilarity2DTransform< TScalarType > | CenteredSimilarity2DTransform of a vector space (e.g. space coordinates) |
| itk::CenteredTransformInitializer< TTransform, TFixedImage, TMovingImage > | CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters |
| itk::CenteredVersorTransformInitializer< TFixedImage, TMovingImage > | CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform |
| itk::CentralDifferenceImageFunction< TInputImage, TCoordRep > | Calculate the derivative by central differencing |
| itk::ChainCodePath< VDimension > | Represent a path as a sequence of connected image index offsets |
| itk::ChainCodePath2D | Represent a 2D path as a sequence of connected image index offsets |
| itk::ChainCodeToFourierSeriesPathFilter< TInputChainCodePath, TOutputFourierSeriesPath > | Filter that produces a Fourier series version of a chain code path |
| itk::ChangeInformationImageFilter< TInputImage > | Change the origin, spacing and/or region of an Image |
| itk::Functor::ChangeLabel< TInput, TOutput > | |
| itk::ChangeLabelImageFilter< TInputImage, TOutputImage > | Change Sets of Labels |
| itk::CheckerBoardImageFilter< TImage > | Combines two images in a checkerboard pattern |
| itk::ChildTreeIterator< TTreeType > | |
| itk::Statistics::ChiSquareDistribution | ChiSquareDistribution class defines the interface for a univariate Chi-Square distribution (pdfs, cdfs, etc.) |
| itk::ClassifierBase< TDataContainer > | Base class for classifier object |
| itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel > | Closing by reconstruction of an image |
| itk::CollidingFrontsImageFilter< TInputImage, TOutputImage > | Selects a region of space where two independent fronts run towards each other |
| itk::ColorTable< TPixel > | |
| itk::Command | Superclass for callback/observer methods |
| itk::Concept::Comparable< T1, T2 > | |
| itk::Concept::Comparable< T1, T2 >::Constraints | |
| itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage > | Compares Histograms between two images to be registered to a Training Histogram |
| itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector > | |
| itk::Function::ComplexToImaginary< TInput, TOutput > | |
| itk::ComplexToImaginaryImageAdaptor< TImage, TOutputPixelType > | Presents a complex image as being composed of imag() part of its pixels |
| itk::ComplexToImaginaryImageFilter< TInputImage, TOutputImage > | Computes pixel-wise the imaginary part of a complex image |
| itk::Accessor::ComplexToImaginaryPixelAccessor< TInternalType, TExternalType > | Give access to the Imaginary part of a std::complex<> value |
| itk::Function::ComplexToModulus< TInput, TOutput > | |
| itk::ComplexToModulusImageAdaptor< TImage, TOutputPixelType > | Presents a complex image as being composed of vcl_abs() part of its pixels |
| itk::ComplexToModulusImageFilter< TInputImage, TOutputImage > | Computes pixel-wise the Modulus of a complex image |
| itk::Accessor::ComplexToModulusPixelAccessor< TInternalType, TExternalType > | Give access to the Modulus of a std::complex<> value |
| itk::Function::ComplexToPhase< TInput, TOutput > | |
| itk::ComplexToPhaseImageAdaptor< TImage, TOutputPixelType > | Presents a complex image as being composed of arg() part of its pixels |
| itk::ComplexToPhaseImageFilter< TInputImage, TOutputImage > | Computes pixel-wise the modulus of a complex image |
| itk::Accessor::ComplexToPhasePixelAccessor< TInternalType, TExternalType > | Give access to the Phase part of a std::complex<> value |
| itk::Function::ComplexToReal< TInput, TOutput > | |
| itk::ComplexToRealImageAdaptor< TImage, TOutputPixelType > | Presents a complex image as being composed of real() part of its pixels |
| itk::ComplexToRealImageFilter< TInputImage, TOutputImage > | Computes pixel-wise the real(x) part of a complex image |
| itk::Accessor::ComplexToRealPixelAccessor< TInternalType, TExternalType > | Give access to the Real part of a std::complex<> value |
| itk::Function::Compose2DCovariantVector< TInput > | |
| itk::Compose2DCovariantVectorImageFilter< TInputImage, TOutputImage > | |
| Compose2DCovariantVectorImageFilter | Implements pixel-wise composition of an 2D covariant vector pixel from two scalar images |
| itk::Function::Compose2DVector< TInput > | |
| itk::Compose2DVectorImageFilter< TInputImage, TOutputImage > | |
| Compose2DVectorImageFilter | Implements pixel-wise composition of an 2D vector pixel from two scalar images |
| itk::Function::Compose3DCovariantVector< TInput > | |
| itk::Compose3DCovariantVectorImageFilter< TInputImage, TOutputImage > | |
| Compose3DCovariantVectorImageFilter | Implements pixel-wise composition of an 3D covariant vector pixel from three scalar images |
| itk::Function::Compose3DVector< TInput > | |
| itk::Compose3DVectorImageFilter< TInputImage, TOutputImage > | |
| Compose3DVectorImageFilter | Implements pixel-wise composition of an 3D vector pixel from three scalar images |
| itk::Function::ComposeRGB< TInput > | |
| itk::ComposeRGBImageFilter< TInputImage, TOutputImage > | |
| ComposeRGBImageFilter | Implements pixel-wise composition of an RGB pixel from three scalar images |
| 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::ConditionVariable | A thread synchronization object used to suspend execution until some condition on shared data is met |
| itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage > | Segment pixels with similar statistics using connectivity |
| itk::ConformalFlatteningMeshFilter< TPixelType > | ConformalFlatteningMeshFilter applies a conformal mapping from 3D to 2D |
| itk::ConicShellInteriorExteriorSpatialFunction< VDimension, TInput > | Spatial function implementation of a conic shell |
| itk::ConjugateGradientOptimizer | Wrap of the vnl_conjugate_gradient |
| itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, TFunctor, TMaskImage > | A generic connected components filter that labels the objects in an artibitrary image |
| itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage > | Label the objects in a binary image |
| 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, TBoundaryCondition > | Const version of NeighborhoodIterator, defining iteration of a local N-dimensional neighborhood of pixels across an itk::Image |
| itk::Functor::ConstrainedValueAddition< TInput1, TInput2, TOutput > | |
| itk::ConstrainedValueAdditionImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements pixel-wise the computation of constrained value addition |
| itk::Functor::ConstrainedValueDifference< TInput1, TInput2, TOutput > | |
| itk::ConstrainedValueDifferenceImageFilter< TInputImage1, TInputImage2, TOutputImage > | Implements pixel-wise the computation of constrained value difference |
| itk::ConstShapedNeighborhoodIterator< TImage, TBoundaryCondition > | Const version of ShapedNeighborhoodIterator, defining iteration of a local N-dimensional neighborhood of pixels across an itk::Image |
| itk::ConstShapedNeighborhoodIterator< TImage, TBoundaryCondition >::ConstIterator | |
| itk::ConstSliceIterator< TPixel, TContainer > | A flexible iterator for itk containers(i.e. itk::Neighborhood) that support pixel access through operator[] |
| itk::ConstSparseFieldLayerIterator< TNodeType > | |
| itk::ContinuousIndex< TCoordRep, VIndexDimension > | A templated class holding a point in n-Dimensional image space |
| itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 > | Computes the directed Mean distance between the boundaries of non-zero pixel regions of two images |
| itk::ContourExtractor2DImageFilter< TInputImage > | Computes a list of PolyLineParametricPath objects from the contours in a 2D image |
| itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 > | Computes the Mean distance between the boundaries of non-zero regions of two images |
| itk::ContourSpatialObject< TDimension > | Representation of a Contour based on the spatial object classes |
| itk::ContourSpatialObjectPoint< TPointDimension > | Point used for a Contour definition |
| 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::CoreAtomImageToDistanceMatrixProcess< TSourceImage > | Computes the distance between all medial nodes (voted core atoms) in a core atom image (input) and stores them in a matrix data object (output) |
| itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage > | This process takes in two itkBloxCoreAtomImages and runs the itkUnaryMedialNodeMetric on them. It returns a unary correspondence matrix for the images in the form of an itkMatrixResizeableDataObject |
| itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage > | Computes correlation coefficient similarity measure between two images to be registered |
| itk::CorrespondenceDataStructure< TItemType, VCliqueSize > | A data structure designed to contain medial node clique correspondence data between two images |
| itk::CorrespondenceDataStructureIterator< TStructureType > | An iterator designed to easily traverse an itkCorrespondenceDataStructure |
| itk::CorrespondingList< TItemType, VCliqueSize > | Part of the itkCorrespondenceDataStructure |
| itk::CorrespondingMedialNodeClique< VImageDimension, VCliqueSize > | CorrespondingMedialNodeClique is an item stored in CorrespondingNodeList. Specifically it is stored in corresponding node lists and contain pointers to a set of medial nodes (cliques) |
| itk::Functor::Cos< TInput, TOutput > | |
| itk::CosImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_cos() of its pixels |
| itk::CosImageFilter< TInputImage, TOutputImage > | Computes the vcl_cos(x) pixel-wise |
| itk::Function::CosineWindowFunction< VRadius, TInput, TOutput > | Window function for sinc interpolation.
|
| itk::Accessor::CosPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_cos() function of a value |
| itk::CostFunction | Base class for cost functions intended to be used with Optimizers |
| itk::CovarianceImageFunction< TInputImage, TCoordRep > | Calculate the covariance matrix in the neighborhood of a pixel in a Vector image |
| itk::CovariantVector< T, NVectorDimension > | 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::CumulativeGaussianCostFunction | Cost function for the Cumulative Gaussian Optimizer |
| itk::CumulativeGaussianOptimizer | This is an optimizer specific to estimating the parameters of Cumulative Gaussian sampled data |
| itk::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
| itk::CurvatureFlowFunction< TImage > | This class encapsulate the finite difference equation which drives a curvature flow denoising algorithm |
| itk::CurvatureFlowImageFilter< TInputImage, TOutputImage > | Denoise an image using curvature driven flow |
| itk::CurvatureNDAnisotropicDiffusionFunction< TImage > | |
| itk::CurvesLevelSetFunction< TImageType, TFeatureImageType > | This function is used in CurvesLevelSetImageFilter to segment structures in images based on user supplied edge potential map |
| itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > | Segments structures in images based on user supplied edge potential map |
| itk::CylinderSpatialObject | This class describe a cylinder in 3D only |
| itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage > | |
| itk::DataObject | Base class for all data objects in ITK |
| itk::DataObjectDecorator< T > | Decorates any subclass of itkObject with a DataObject API |
| 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::DefaultPixelAccessorFunctor< TImageType > | This class provides a common API for pixel accessors for Image and VectorImage. (between the DefaultVectorPixelAccessor and DefaultPixelAccessor) |
| itk::DefaultStaticMeshTraits< TPixelType, VPointDimension, VMaxTopologicalDimension, TCoordRep, TInterpolationWeight, TCellPixelType > | |
| itk::DefaultVectorPixelAccessor< TType > | Give access to partial aspects of a type |
| itk::DefaultVectorPixelAccessorFunctor< TImageType > | This class provides a common API for pixel accessors for Image and VectorImage. (between the DefaultVectorPixelAccessor and DefaultPixelAccessor) |
| DeformableMesh3D | The DeformableMesh3DFilter is used to deform a mesh (deformable model) under a potential force in 2D or 3D. The potential force is derived from the gradient information in the medical image and it will make the model deform to fit to the boundary features. Inputs are: (1) A deformable triangular model (Mesh). Import using the SetInput method. (2) A gradient map that make the model deform to fit to the estimated boundary. the gradient should be based on the 2nd derive of the original image. So the nodes on the model surface will stop at the edge features in the original image |
| itk::DeformableMesh3DFilter< TInputMesh, TOutputMesh > | |
| itk::DeformableSimplexMesh3DBalloonForceFilter< TInputMesh, TOutputMesh > | Additional to its superclass this model adds an balloon force component to the internal forces |
| itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh > | Three-dimensional deformable model for image segmentation |
| itk::DeformableSimplexMesh3DGradientConstraintForceFilter< TInputMesh, TOutputMesh > | Additional to its superclass this class reimplemets the external forces methos in which the scan line algorithm is used to find highest gradient is found in the direction of the normal to each vertex within a specified range |
| itk::DeformationFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage > | Computes a scalar image from a vector image (e.g., deformation field) input, where each output scalar at each pixel is the Jacobian determinant of the vector field at that location |
| itk::DeformationFieldSource< TOutputImage > | Computes a deformation field from two sets of landmarks |
| itk::DeleteEvent | |
| 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 | His class is a container for frequencies of bins in 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 derivative operator of user-specified order |
| itk::DerivativeOperator< TPixel, VDimension, TAllocator > | A NeighborhoodOperator for taking an n-th order derivative at a pixel |
| itk::DicomImageIO | Read DicomImage file format |
| itk::DICOMImageIO2 | Read DICOMImage file format |
| itk::DICOMImageIO2Factory | Create instances of DICOMImageIO2 objects using an object factory |
| itk::DicomImageIOFactory | Create instances of DicomImageIO objects using an object factory |
| itk::DICOMSeriesFileNames | Generate an ordered sequence of filenames |
| itk::DifferenceImageFilter< TInputImage, TOutputImage > | Implements comparison between two images |
| itk::DifferenceOfGaussiansGradientImageFilter< TInputImage, TDataType > | Performs difference-of-gaussians gradient detection |
| itk::DiffusionTensor3D< TComponent > | Represent a diffusion tensor as used in DTI images |
| itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType > | This class takes as input one or more reference image (acquired in the absence of diffusion sensitizing gradients) and 'n' diffusion weighted images and their gradient directions and computes an image of tensors. (with DiffusionTensor3D as the pixel type). Once that is done, you can apply filters on this tensor image to compute FA, ADC, RGB weighted maps etc |
| itk::DilateObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel > | Dilation of an object in an image |
| 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 |
| itk::Concept::DivisionOperators< T1, T2, T3 > | |
| itk::Concept::DivisionOperators< T1, T2, T3 >::Constraints | |
| itk::DoubleThresholdImageFilter< TInputImage, TOutputImage > | Binarize an input image using double thresholding |
| itk::DTITubeSpatialObject< TDimension > | Representation of a tube based on the spatial object classes |
| itk::DTITubeSpatialObjectPoint< TPointDimension > | Point used for a tube definition |
| 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 |
| itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage > | Computes pixel-wise the eigen values and eigen vectors of a 2D symmetrical matrix |
| 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::Element2DC0LinearQuadrilateralStrain | 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::Element2DC0LinearTriangularStrain | 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::Element2DC0QuadraticTriangularStrain | 3-noded finite element class in 2D space for linear elasticity problem |
| 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::Element2DStrain< TBaseClass > | Class that is used to define linear elasticity 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::Element::Node | Class that stores information required to define a node |
| itk::fem::ElementStd< VNumberOfNodes, VNumberOfSpatialDimensions, TBaseClass > | Implements standard node management in the element classes |
| itk::EllipseSpatialObject< TDimension > | |
| itk::EllipsoidInteriorExteriorSpatialFunction< VDimension, TInput > | |
| EllipsoidSpatialFunction | Function implementation of an ellipsoid |
| EllipsoidSpatialFunction | Function implementation of an ellipsoid |
| itk::EndEvent | |
| itk::EndPickEvent | |
| itk::Concept::EqualityComparable< T1, T2 > | |
| itk::Concept::EqualityComparable< T1, T2 >::Constraints | |
| itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension > | |
| itk::EquivalencyTable | Hash table to manage integral label equivalencies |
| itk::ErodeObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel > | Erosion of an object in an image |
| itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector > | |
| ErrorBackPropagationLearningFunctionBase | The ErrorBackPropagationLearningFunctionBase is the base class for all the ErrorBackPropagationLearning strategies. These include error back propagation, bp+momentum, conjugte gradient descent, quick prop. This class specifies how the errors are backpropagated for a layer. They take a LayerBase object as input and compute the input for the layers input weightset |
| itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector > | |
| ErrorBackPropagationLearningWithMomentum | The ErrorBackPropagationLearningWithMomentum is the base class for all the ErrorBackPropagationLearning strategies. These include error back propagation, bp+momentum, conjugte gradient descent, quick prop. This class specifies how the errors are backpropagated for a layer. They take a LayerBase object as input and compute the input for the layers input weightset |
| itk::Statistics::ErrorFunctionBase< TMeasurementVector, TTargetVector > | |
| itk::Statistics::EuclideanDistance< TVector > | Euclidean distance function |
| itk::EuclideanDistancePointMetric< TFixedPointSet, TMovingPointSet, TDistanceMap > | Computes the minimum distance between a moving point-set and a fixed point-set. A vector of minimum closest point distance is created for each point in the moving point-set. No correspondance is needed. For speed consideration, the point-set with the minimum number of points should be used as the moving point-set. If the number of points is high, the possibility of setting a distance map should improve the speed of the closest point computation |
| itk::Euler2DTransform< TScalarType > | Euler2DTransform of a vector space (e.g. space coordinates) |
| itk::Euler3DTransform< TScalarType > | Euler3DTransform of a vector space (e.g. space coordinates) |
| EulerOperatorCreateCenterVertexFunction | Create a vertex at the barycenter of the given face |
| EulerOperatorDeleteCenterVertexFunction | Delete the vertex, connected edges and faces and create a new face In place of the previous vertex' one-ring |
| EulerOperatorFlipEdgeFunction | Flip an edge |
| EulerOperatorJoinFacetFunction | Join the two facets which are on both sides of a given internal edge |
| EulerOperatorJoinVertexFunction | Collapse a given edge by joining its dest and its org |
| EulerOperatorSplitEdgeFunction | Given Edge is splitted into two and associated faces see their degree increased by one (a triangle is transformed into a quad for example) |
| EulerOperatorSplitFacetFunction | Given two edges h and g sharing the same Left() face, create a new edge joining h->Destination() to g->Destination(), thus splitting the original Left() |
| EulerOperatorSplitVertexFunction | For two given edges e and f sharing the same dest(), disconnect the two rings, create a new point to be set at f->dest(), and create a new edge between e->Destination() and f->Destination() |
| itk::EventObject | Abstraction of the Events used to communicating among filters and with GUIs |
| itk::ExhaustiveOptimizer | Optimizer that fully samples a grid on the parametric space |
| itk::ExitEvent | |
| 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 > | This class generates the parameter estimates for a mixture model using expectation maximization strategy |
| itk::ExpImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_exp() of its pixels |
| itk::ExpImageFilter< TInputImage, TOutputImage > | Computes the vcl_exp(x) pixel-wise |
| itk::Function::ExpNegative< TInput, TOutput > | |
| itk::ExpNegativeImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_exp() of its pixels |
| itk::ExpNegativeImageFilter< TInputImage, TOutputImage > | Computes the function vcl_exp(-K.x) pixel-wise |
| itk::Accessor::ExpNegativePixelAccessor< TInternalType, TExternalType > | Give access to the vcl_exp() function of a value |
| itk::Accessor::ExpPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_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::ExtractOrthogonalSwath2DImageFilter< TImage > | Extracts into rectangular form a "swath" image from the input image along the parametric path |
| itk::ExtrapolateImageFunction< TInputImage, TCoordRep > | Base class for all image extrapolaters |
| itk::FastChamferDistanceImageFilter< TInputImage, TOutputImage > | This class compute the signed (positive and negative) chamfer distance in a narrow band |
| itk::FastIncrementalBinaryDilateImageFilter< TInputImage, TOutputImage, TKernel > | Fast binary dilation |
| 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::FastMarchingImageFilter< TLevelSet, TSpeedImage >::AxisNodeType | |
| itk::FastMarchingUpwindGradientImageFilter< TLevelSet, TSpeedImage > | Generates the upwind gradient field of fast marching arrival times |
| itk::FastMutexLock | Critical section locking class |
| itk::FastSymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
| itk::FastSymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField >::GlobalDataStruct | |
| 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< TMovingImage, TFixedImage > | FEM Image registration filter |
| itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::FEMOF | |
| itk::FFTComplexConjugateToRealImageFilter< TPixel, Dimension > | |
| itk::FFTRealToComplexConjugateImageFilter< TPixel, Dimension > | |
| itk::FFTWComplexConjugateToRealImageFilter< TPixel, Dimension > | |
| itk::FFTWRealToComplexConjugateImageFilter< TPixel, Dimension > | |
| itk::FileOutputWindow | Messages sent from the system are sent to a file |
| itk::FiniteCylinderSpatialFunction< VDimension, TInput > | Function implementation of an finite cylinder |
| itk::FiniteDifferenceFunction< TImageType > | |
| itk::fem::FiniteDifferenceFunctionLoad< TMoving, TFixed > | General image pair load that uses the itkFiniteDifferenceFunctions |
| itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage > | |
| itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType > | This class implements a multi-threaded base class for Image to SparseImage finite difference processes |
| itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >::FDThreadStruct | |
| itk::FiniteDifferenceSparseImageFunction< TSparseImageType > | This is the base class for function classes that can be used with filters derived from FiniteDifferenceSparseImageFilter |
| 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::FixedCenterOfRotationAffineTransform< TScalarType, NDimensions > | Affine transformation with a specified center of rotation |
| itk::FlatStructuringElement< NDimension > | A class to support a variety of flat structuring elements, including versions created by decomposition of lines |
| itk::FlipImageFilter< TImage > | Flips an image across user specified axes |
| itk::FloodFilledFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled spatial function |
| 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::FourierSeriesPath< VDimension > | Represent a closed path through ND Space by its frequency components |
| itk::FRPROptimizer | Implements Fletch-Reeves & Polak-Ribiere optimization using dBrent line search |
| itk::FrustumSpatialFunction< VImageDimension, TInput > | Spatial function implementation of a truncated pyramid |
| itk::FunctionAndGradientEvaluationIterationEvent | |
| itk::FunctionBase< TInput, TOutput > | Base class for all ITK function objects |
| itk::FunctionEvaluationIterationEvent | |
| itk::GaussianBlurImageFunction< TInputImage, TOutput > | Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type |
| itk::Statistics::GaussianDensityFunction< TMeasurementVector > | GaussianDensityFunction class represents Gaussian Density Function |
| itk::GaussianDerivativeImageFunction< TInputImage, TOutput > | Compute the gaussian derivatives of an the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type |
| itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput > | N-dimensional gaussian spatial function class |
| itk::Statistics::GaussianDistribution | GaussianDistribution class defines the interface for a univariate Gaussian distribution (pdfs, cdfs, etc.) |
| itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample > | GoodnessOfFitComponent for Gaussian distribution |
| 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 > | Component (derived from MixtureModelComponentBase) for Gaussian class. This class is used in ExpectationMaximizationMixtureModelEstimator |
| itk::GaussianOperator< TPixel, VDimension, TAllocator > | A NeighborhoodOperator whose coefficients are a one dimensional, discrete Gaussian kernel |
| itk::Statistics::GaussianRadialBasisFunction< ScalarType > | |