| BSplineInterpolateImageFunction | |
| elastix::AdaptiveStochasticGradientDescent< TElastix > | A gradient descent optimizer with an adaptive gain |
| elastix::AdvancedAffineTransformElastix< TElastix > | A transform based on the itk::AdvancedMatrixOffsetTransformBase |
| elastix::AdvancedBSplineTransform< TElastix > | A transform based on the itkAdvancedBSplineTransform |
| elastix::AdvancedKappaStatisticMetric< TElastix > | An metric based on the itk::AdvancedKappaStatisticImageToImageMetric |
| elastix::AdvancedMattesMutualInformationMetric< TElastix > | A metric based on the itk::ParzenWindowMutualInformationImageToImageMetric |
| elastix::AdvancedMeanSquaresMetric< TElastix > | An metric based on the itk::AdvancedMeanSquaresImageToImageMetric |
| elastix::AdvancedNormalizedCorrelationMetric< TElastix > | An metric based on the itk::AdvancedNormalizedCorrelationImageToImageMetric |
| elastix::AffineDTITransformElastix< TElastix > | A transform based on the itk AffineDTITransform |
| elastix::BaseComponent | Class that all elastix components should inherit from |
| elastix::BaseComponentSE< TElastix > | The BaseComponentSE class is a base class for elastix components that provides some basic functionality |
| elastix::BSplineInterpolator< TElastix > | An interpolator based on the itkBSplineInterpolateImageFunction |
| elastix::BSplineInterpolatorFloat< TElastix > | An interpolator based on the itk::BSplineInterpolateImageFunction |
| elastix::BSplineResampleInterpolator< TElastix > | A resample-interpolator based on B-splines |
| elastix::BSplineResampleInterpolatorFloat< TElastix > | A resample-interpolator based on B-splines |
| elastix::BSplineStackTransform< TElastix > | A B-spline transform based on the itkStackTransform |
| elastix::BSplineTransformWithDiffusion< TElastix > | This class combines a B-spline transform with the diffusion/filtering of the deformation field |
| elastix::CMAEvolutionStrategy< TElastix > | An optimizer based on the itk::CMAEvolutionStrategyOptimizer |
| elastix::ComponentDatabase | Class that stores the New() functions of all components |
| elastix::ComponentLoader | Determines which components (metrics, transforms, etc.) are available |
| elastix::Configuration | A class that deals with user given parameters and command line arguments |
| elastix::ConjugateGradient< TElastix > | An optimizer based on the itk::GenericConjugateGradientOptimizer |
| elastix::ConjugateGradientFRPR< TElastix > | The ConjugateGradientFRPR class |
| elastix::CorrespondingPointsEuclideanDistanceMetric< TElastix > | An metric based on the itk::CorrespondingPointsEuclideanDistancePointMetric |
| elastix::CUDAResampler< TElastix > | A resampler based on the itk::CUDAResampleImageFilter |
| elastix::DeformationFieldTransform< TElastix > | A transform based on a DeformationField |
| elastix::DisplacementMagnitudePenalty< TElastix > | A penalty term that penalises ||T(x)-x|| |
| elastix::ElastixBase | This class creates an interface for elastix |
| elastix::ElastixBase::MultipleImageLoader< TImage > | |
| elastix::ElastixMain | A class with all functionality to configure elastix |
| elastix::ElastixTemplate< TFixedImage, TMovingImage > | The main elastix class, which connects components and invokes the BeforeRegistration(), BeforeEachResolution(), etc. methods |
| elastix::EulerTransformElastix< TElastix > | A transform based on the itk EulerTransforms |
| elastix::FiniteDifferenceGradientDescent< TElastix > | An optimizer based on the itk::FiniteDifferenceGradientDescentOptimizer |
| elastix::FixedImagePyramidBase< TElastix > | This class is the elastix base class for all FixedImagePyramids |
| elastix::FixedRecursivePyramid< TElastix > | A pyramid based on the itk::RecursiveMultiResolutionPyramidImageFilter |
| elastix::FixedShrinkingPyramid< TElastix > | A pyramid based on the itk::MultiResolutionShrinkPyramidImageFilter |
| elastix::FixedSmoothingPyramid< TElastix > | A pyramid based on the itk::MultiResolutionGaussianSmoothingPyramidImageFilter |
| elastix::FullSampler< TElastix > | An interpolator based on the itk::ImageFullSampler |
| elastix::FullSearch< TElastix > | An optimizer based on the itk::FullSearchOptimizer |
| elastix::GradientDifferenceMetric< TElastix > | An metric based on the itk::GradientDifferenceImageToImageMetric |
| elastix::GridSampler< TElastix > | An interpolator based on the itk::ImageGridSampler |
| elastix::ImageSamplerBase< TElastix > | This class is the elastix base class for all ImageSamplers |
| elastix::InstallFunctions< TAnyItkObject > | A class with functions that are used to install elastix components |
| elastix::InterpolatorBase< TElastix > | This class is the elastix base class for all Interpolators |
| elastix::KNNGraphAlphaMutualInformationMetric< TElastix > | A metric based on the itk::KNNGraphAlphaMutualInformationImageToImageMetric |
| elastix::LinearInterpolator< TElastix > | An interpolator based on the itkLinearInterpolateImageFunction |
| elastix::LinearResampleInterpolator< TElastix > | A linear resample-interpolator |
| elastix::MetricBase< TElastix > | This class is the elastix base class for all Metrics |
| elastix::MovingImagePyramidBase< TElastix > | This class is the elastix base class for all MovingImagePyramids |
| elastix::MovingRecursivePyramid< TElastix > | A pyramid based on the itkRecursiveMultiResolutionPyramidImageFilter |
| elastix::MovingShrinkingPyramid< TElastix > | A pyramid based on the itk::MultiResolutionShrinkPyramidImageFilter |
| elastix::MovingSmoothingPyramid< TElastix > | A pyramid based on the itkMultiResolutionGaussianSmoothingPyramidImageFilter |
| elastix::MultiInputRandomCoordinateSampler< TElastix > | An interpolator based on the itk::MultiInputImageRandomCoordinateSampler |
| elastix::MultiMetricMultiResolutionRegistration< TElastix > | A registration framework based on the itk::MultiMetricMultiResolutionImageRegistrationMethod |
| elastix::MultiResolutionRegistration< TElastix > | A registration framework based on the itk::MultiResolutionImageRegistrationMethod |
| elastix::MultiResolutionRegistrationWithFeatures< TElastix > | A registration framework based on the itk::MultiResolutionImageRegistrationMethodWithFeatures |
| elastix::MutualInformationHistogramMetric< TElastix > | A metric based on the itk::MutualInformationHistogramImageToImageMetric |
| elastix::MyStandardResampler< TElastix > | A resampler based on the itk::ResampleImageFilter |
| elastix::NearestNeighborInterpolator< TElastix > | An interpolator based on the itkNearestNeighborInterpolateImageFunction |
| elastix::NearestNeighborResampleInterpolator< TElastix > | A nearest neighbor resample-interpolator |
| elastix::NormalizedGradientCorrelationMetric< TElastix > | An metric based on the itk::NormalizedGradientCorrelationImageToImageMetric |
| elastix::NormalizedMutualInformationMetric< TElastix > | A metric based on the itk::ParzenWindowNormalizedMutualInformationImageToImageMetric |
| elastix::OptimizerBase< TElastix > | This class is the elastix base class for all Optimizers |
| elastix::PatternIntensityMetric< TElastix > | An metric based on the itk::PatternIntensityImageToImageMetric |
| elastix::Powell< TElastix > | An optimizer based on Powell.. |
| elastix::ProgressCommand | A specialized Command object for updating the progress of a filter |
| elastix::QuasiNewtonLBFGS< TElastix > | An optimizer based on the itk::QuasiNewtonLBFGSOptimizer |
| elastix::RandomCoordinateSampler< TElastix > | An interpolator based on the itk::ImageRandomCoordinateSampler |
| elastix::RandomSampler< TElastix > | An interpolator based on the itk::ImageRandomSampler |
| elastix::RandomSamplerSparseMask< TElastix > | An interpolator based on the itk::ImageRandomSamplerSparseMask |
| elastix::RayCastInterpolator< TElastix > | An interpolator based on the itkAdvancedRayCastInterpolateImageFunction |
| elastix::RayCastResampleInterpolator< TElastix > | An interpolator based on .. |
| elastix::ReducedDimensionBSplineInterpolator< TElastix > | An interpolator based on the itkReducedDimensionBSplineInterpolateImageFunction |
| elastix::ReducedDimensionBSplineResampleInterpolator< TElastix > | A resample-interpolator based on B-splines which ignores the last dimension |
| elastix::RegistrationBase< TElastix > | This class is the elastix base class for all Registration schemes |
| elastix::RegularStepGradientDescent< TElastix > | An optimizer based on gradient descent.. |
| elastix::ResampleInterpolatorBase< TElastix > | This class is the elastix base class for all ResampleInterpolators |
| elastix::ResamplerBase< TElastix > | |
| elastix::RSGDEachParameterApart< TElastix > | An optimizer based on gradient descent |
| elastix::SimilarityTransformElastix< TElastix > | A transform based on the itk SimilarityTransforms |
| elastix::Simplex< TElastix > | An optimizer based on Simplex.. |
| elastix::SimultaneousPerturbation< TElastix > | An optimizer based on the itk::SPSAOptimizer |
| elastix::SplineKernelTransform< TElastix > | A transform based on the itk::KernelTransform2 |
| elastix::StandardGradientDescent< TElastix > | A gradient descent optimizer with a decaying gain |
| elastix::TransformBase< TElastix > | This class is the elastix base class for all Transforms |
| elastix::TransformBendingEnergyPenalty< TElastix > | A penalty term based on the bending energy of a thin metal sheet |
| elastix::TransformixMain | A class with all functionality to configure transformix |
| elastix::TransformRigidityPenalty< TElastix > | A penalty term based on non-rigidity |
| elastix::TranslationTransformElastix< TElastix > | A transform based on the itk::TranslationTransform |
| elastix::VarianceOverLastDimensionMetric< TElastix > | Compute the sum of variances over the slowest varying dimension in the moving image |
| elastix::ViolaWellsMutualInformationMetric< TElastix > | A metric based on the itk::MutualInformationImageToImageMetric |
| elastix::WeightedCombinationTransformElastix< TElastix > | A transform based on the itk::WeightedCombinationTransform |
| FunctionBase | |
| ImageFileWriter | |
| ImageIOBase | |
| ImageSource | |
| ImageToImageFilter | |
| ImageToImageMetric | |
| InterpolateImageFunction | |
| itk::AdaptiveStochasticGradientDescentOptimizer | This class implements a gradient descent optimizer with adaptive gain |
| itk::AdvancedBSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder > | Deformable transform using a B-spline representation |
| itk::AdvancedBSplineDeformableTransformBase< TScalarType, NDimensions > | Base class for deformable transform using a B-spline representation |
| itk::AdvancedCombinationTransform< TScalarType, NDimensions > | This class combines two transforms: an 'initial transform' with a 'current transform' |
| itk::AdvancedEuler3DTransform< TScalarType > | AdvancedEuler3DTransform of a vector space (e.g. space coordinates) |
| itk::AdvancedIdentityTransform< TScalarType, NDimensions > | Implementation of an Identity Transform |
| itk::AdvancedImageToImageMetric< TFixedImage, TMovingImage > | An extension of the ITK ImageToImageMetric. It is the intended base class for all elastix metrics |
| itk::AdvancedKappaStatisticImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
| itk::AdvancedMatrixOffsetTransformBase< TScalarType, NInputDimensions, NOutputDimensions > | |
| itk::AdvancedMeanSquaresImageToImageMetric< TFixedImage, TMovingImage > | Compute Mean square difference between two images, based on AdvancedImageToImageMetric.. |
| itk::AdvancedNormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage > | Computes normalized correlation between two images, based on AdvancedImageToImageMetric.. |
| itk::AdvancedRayCastInterpolateImageFunction< TInputImage, TCoordRep > | Projective interpolation of an image at specified positions |
| itk::AdvancedRigid2DTransform< TScalarType > | AdvancedRigid2DTransform of a vector space (e.g. space coordinates) |
| itk::AdvancedRigid3DTransform< TScalarType > | AdvancedRigid3DTransform of a vector space (e.g. space coordinates) |
| itk::AdvancedSimilarity2DTransform< TScalarType > | AdvancedSimilarity2DTransform of a vector space (e.g. space coordinates) |
| itk::AdvancedSimilarity3DTransform< TScalarType > | AdvancedSimilarity3DTransform of a vector space (e.g. space coordinates) |
| itk::AdvancedTransform< TScalarType, NInputDimensions, NOutputDimensions > | Transform maps points, vectors and covariant vectors from an input space to an output space |
| itk::AdvancedTranslationTransform< TScalarType, NDimensions > | Translation transformation of a vector space (e.g. space coordinates) |
| itk::AdvancedVersorRigid3DTransform< TScalarType > | AdvancedVersorRigid3DTransform of a vector space (e.g. space coordinates) |
| itk::AdvancedVersorTransform< TScalarType > | |
| itk::AffineDTI3DTransform< TScalarType > | AffineDTI3DTransform of a vector space (e.g. space coordinates) |
| AmoebaOptimizer | |
| itk::ANNbdTree< TListSample > | |
| itk::ANNBinaryTreeCreator | |
| itk::ANNBruteForceTree< TListSample > | |
| itk::ANNFixedRadiusTreeSearch< TListSample > | |
| itk::ANNkDTree< TListSample > | |
| itk::ANNPriorityTreeSearch< TListSample > | |
| itk::ANNStandardTreeSearch< TListSample > | |
| itk::BinaryANNTreeBase< TListSample > | |
| itk::BinaryANNTreeSearchBase< TListSample > | |
| itk::BinaryTreeBase< TListSample > | |
| itk::BinaryTreeSearchBase< TListSample > | |
| itk::BSplineDerivativeKernelFunction2< VSplineOrder > | Derivative of a B-spline kernel used for density estimation and nonparametric regression |
| itk::BSplineInterpolationDerivativeWeightFunction< TCoordRep, VSpaceDimension, VSplineOrder > | Returns the weights over the support region used for B-spline interpolation/reconstruction |
| itk::BSplineInterpolationSecondOrderDerivativeWeightFunction< TCoordRep, VSpaceDimension, VSplineOrder > | Returns the weights over the support region used for B-spline interpolation/reconstruction |
| itk::BSplineInterpolationWeightFunction2< TCoordRep, VSpaceDimension, VSplineOrder > | Returns the weights over the support region used for B-spline interpolation/reconstruction |
| itk::BSplineInterpolationWeightFunctionBase< TCoordRep, VSpaceDimension, VSplineOrder > | Returns the weights over the support region used for B-spline interpolation/reconstruction |
| itk::BSplineKernelFunction2< VSplineOrder > | B-spline kernel used for density estimation and nonparameteric regression |
| itk::BSplineSecondOrderDerivativeKernelFunction2< VSplineOrder > | Derivative of a B-spline kernel used for density estimation and nonparametric regression |
| itk::CenteredTransformInitializer2< TTransform, TFixedImage, TMovingImage > | CenteredTransformInitializer2 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::CMAEvolutionStrategyOptimizer | A Covariance Matrix Adaptation Evolution Strategy Optimizer |
| itk::CombinationImageToImageMetric< TFixedImage, TMovingImage > | Combines multiple metrics |
| itk::CorrespondingPointsEuclideanDistancePointMetric< TFixedPointSet, TMovingPointSet > | Computes the Euclidean distance between a moving point-set and a fixed point-set. Correspondence is needed |
| itk::CyclicBSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder > | Deformable transform using a B-spline representation in which the B-spline grid is formulated in a cyclic way |
| itk::CyclicGridScheduleComputer< TTransformScalarType, VImageDimension > | This class computes all information about the B-spline grid |
| itk::DeformationFieldInterpolatingTransform< TScalarType, NDimensions, TComponentType > | Transform that interpolates a given deformation field |
| itk::DeformationFieldRegulizer< TAnyITKTransform > | This class combines any itk transform with the DeformationFieldTransform |
| itk::DeformationVectorFieldTransform< TScalarType, NDimensions > | An itk transform based on a DeformationVectorField |
| itk::DisplacementMagnitudePenaltyTerm< TFixedImage, TScalarType > | A cost function that calculates  |
| itk::ElasticBodyReciprocalSplineKernelTransform2< TScalarType, NDimensions > | |
| itk::ElasticBodySplineKernelTransform2< TScalarType, NDimensions > | |
| itk::ErodeMaskImageFilter< TImage > | |
| itk::ExponentialLimiterFunction< TInput, NDimension > | A soft limiter |
| itk::FiniteDifferenceGradientDescentOptimizer | An optimizer based on gradient descent .. |
| FRPROptimizer | |
| itk::FullSearchOptimizer | An optimizer based on full search |
| itk::GenericConjugateGradientOptimizer | A set of conjugate gradient algorithms |
| itk::GradientDescentOptimizer2 | Implement a gradient descent optimizer |
| itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
| itk::GridScheduleComputer< TTransformScalarType, VImageDimension > | This class computes all information about the B-spline grid, given the image information and the desired grid spacing |
| itk::HardLimiterFunction< TInput, NDimension > | A hard limiter |
| itk::ImageFileCastWriter< TInputImage > | Casts pixel type and writes image data |
| itk::ImageFullSampler< TInputImage > | Samples all voxels in the InputImageRegion |
| itk::ImageGridSampler< TInputImage > | Samples image voxels on a regular grid |
| itk::ImageMaskSpatialObject2< TDimension > | Implementation of an image mask as spatial object |
| itk::ImageRandomCoordinateSampler< TInputImage > | Samples an image by randomly composing a set of physical coordinates |
| itk::ImageRandomSampler< TInputImage > | Samples randomly some voxels of an image |
| itk::ImageRandomSamplerBase< TInputImage > | This class is a base class for any image sampler that randomly picks samples |
| itk::ImageRandomSamplerSparseMask< TInputImage > | Samples randomly some voxels of an image |
| itk::ImageSample< TImage > | A class that defines an image sample, which is the coordinates of a point and its value |
| itk::ImageSamplerBase< TInputImage > | This class is a base class for any image sampler |
| itk::ImageSpatialObject2< TDimension, TPixelType > | Implementation of an image as spatial object |
| itk::ImageToImageMetricWithFeatures< TFixedImage, TMovingImage, TFixedFeatureImage, TMovingFeatureImage > | Computes similarity between regions of two images |
| itk::ImageToVectorContainerFilter< TInputImage, TOutputVectorContainer > | Base class that takes in an image and pops out a vector container |
| itk::itkCUDAResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType > | Resample an image on the GPU via a coordinate transform |
| itk::itkCUDAResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::WarningReportType | |
| itk::KernelTransform2< TScalarType, NDimensions > | |
| itk::KNNGraphAlphaMutualInformationImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two images to be registered |
| itk::LimiterFunctionBase< TInput, NDimension > | Base class for all ITK limiter function objects |
| itk::LineSearchOptimizer | A base class for LineSearch optimizers |
| itk::MeshFileReaderBase< TOutputMesh > | Base class for mesh readers |
| itk::MeshFileReaderException | Base exception class for IO conflicts |
| itk::MevisDicomTiffImageIO | |
| itk::MevisDicomTiffImageIOFactory | Create instances of MevisDicomTiffImageIO objects using an object factory |
| itk::MoreThuenteLineSearchOptimizer | ITK version of the MoreThuente line search algorithm |
| itk::MultiInputImageRandomCoordinateSampler< TInputImage > | Samples an image by randomly composing a set of physical coordinates |
| itk::MultiInputImageToImageMetricBase< TFixedImage, TMovingImage > | Implements a metric base class that takes multiple inputs |
| itk::MultiInputMultiResolutionImageRegistrationMethodBase< TFixedImage, TMovingImage > | Base class for multi-resolution image registration methods |
| itk::MultiMetricMultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage > | Base class for multi-resolution image registration methods |
| itk::MultiOrderBSplineDecompositionImageFilter< TInputImage, TOutputImage > | Calculates the B-Spline coefficients of an image. Spline order may be per dimension from 0 to 5 per |
| itk::MultiResolutionGaussianSmoothingPyramidImageFilter< TInputImage, TOutputImage > | Framework for creating images in a multi-resolution pyramid |
| itk::MultiResolutionImageRegistrationMethod2< TFixedImage, TMovingImage > | Base class for multi-resolution image registration methods |
| itk::MultiResolutionImageRegistrationMethodWithFeatures< TFixedImage, TMovingImage > | Class for multi-resolution image registration methods |
| itk::MultiResolutionShrinkPyramidImageFilter< TInputImage, TOutputImage > | Framework for creating images in a multi-resolution pyramid |
| itk::NDImageBase< TPixel > | An image whose dimension can be specified at runtime |
| itk::NDImageTemplate< TPixel, VDimension > | This class is a specialization of the NDImageBase, which acts as a wrap around an itk::Image |
| itk::NormalizedGradientCorrelationImageToImageMetric< TFixedImage, TMovingImage > | An metric based on the itk::NormalizedGradientCorrelationImageToImageMetric |
| itk::ParabolicErodeDilateImageFilter< TInputImage, doDilate, TOutputImage > | Parent class for morphological operations with parabolic structuring elements |
| itk::ParabolicErodeImageFilter< TInputImage, TOutputImage > | Class for morphological erosion operations with parabolic structuring elements |
| itk::ParameterFileParser | Implements functionality to read a parameter file |
| itk::ParameterMapInterface | Implements functionality to get parameters from a parameter map |
| itk::ParzenWindowHistogramImageToImageMetric< TFixedImage, TMovingImage > | A base class for image metrics based on a joint histogram computed using Parzen Windowing |
| itk::ParzenWindowMutualInformationImageToImageMetric< TFixedImage, TMovingImage > | Computes the mutual information between two images to be registered using the method of Mattes et al |
| itk::ParzenWindowNormalizedMutualInformationImageToImageMetric< TFixedImage, TMovingImage > | Computes the normalized mutual information between two images to be registered using a method based on Thevenaz&Unser [3] |
| itk::PatternIntensityImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
| PowellOptimizer | |
| itk::QuasiNewtonLBFGSOptimizer | ITK version of the lbfgs algorithm .. |
| itk::ReducedDimensionBSplineInterpolateImageFunction< TImageType, TCoordRep, TCoefficientType > | Evaluates the B-Spline interpolation of an image. Spline order may be from 0 to 5 |
| RegularStepGradientDescentOptimizer | |
| itk::RSGDEachParameterApartBaseOptimizer | An optimizer based on gradient descent.. |
| itk::RSGDEachParameterApartOptimizer | An optimizer based on gradient descent |
| itk::ScaledSingleValuedCostFunction | A cost function that applies a scaling to another cost function |
| itk::ScaledSingleValuedNonLinearOptimizer | |
| itk::SingleValuedPointSetToPointSetMetric< TFixedPointSet, TMovingPointSet > | Computes similarity between two point sets |
| SPSAOptimizer | |
| itk::StackTransform< TScalarType, NInputDimensions, NOutputDimensions > | Implements stack of transforms: one for every last dimension index |
| itk::StandardGradientDescentOptimizer | This class implements a gradient descent optimizer with a decaying gain |
| itk::Statistics::ListSampleCArray< TMeasurementVector, TInternalValue > | A ListSampleBase that internally uses a CArray, which can be accessed |
| itk::ThinPlateR2LogRSplineKernelTransform2< TScalarType, NDimensions > | |
| itk::ThinPlateSplineKernelTransform2< TScalarType, NDimensions > | |
| itk::TransformBendingEnergyPenaltyTerm< TFixedImage, TScalarType > | A cost function that calculates the bending energy of a transformation |
| itk::TransformixInputPointFileReader< TOutputMesh > | A reader that understands transformix input point files |
| itk::TransformPenaltyTerm< TFixedImage, TScalarType > | A cost function that calculates a penalty term on a transformation |
| itk::TransformRigidityPenaltyTerm< TFixedImage, TScalarType > | A cost function that calculates a rigidity penalty term |
| itk::TransformToDeterminantOfSpatialJacobianSource< TOutputImage, TTransformPrecisionType > | Generate the spatial Jacobian from a coordinate transform |
| itk::TransformToSpatialJacobianSource< TOutputImage, TTransformPrecisionType > | Generate the spatial Jacobian matrix from a coordinate transform |
| itk::TranslationTransformInitializer< TTransform, TFixedImage, TMovingImage > | TranslationTransformInitializer is a helper class intended to initialize the translation of a TranslationTransforms |
| itk::UpsampleBSplineParametersFilter< TArray, TImage > | Convenience class for upsampling a B-spline coefficient image |
| itk::VarianceOverLastDimensionImageMetric< TFixedImage, TMovingImage > | Compute the sum of variances over the slowest varying dimension in the moving image |
| itk::VectorContainerSource< TOutputVectorContainer > | A base class for creating an ImageToVectorContainerFilter |
| itk::VectorDataContainer< TElementIdentifier, TElement > | Define a front-end to the STL "vector" container that conforms to the IndexedContainerInterface |
| itk::VectorMeanDiffusionImageFilter< TInputImage, TGrayValueImage > | Applies an averaging filter to an image |
| itk::VolumeSplineKernelTransform2< TScalarType, NDimensions > | |
| itk::WeightedCombinationTransform< TScalarType, NInputDimensions, NOutputDimensions > | Implements a weighted linear combination of multiple transforms |
| LinearInterpolateImageFunction | |
| MultiResolutionPyramidImageFilter | |
| MutualInformationHistogramImageToImageMetric | |
| MutualInformationImageToImageMetric | |
| NearestNeighborInterpolateImageFunction | |
| RecursiveMultiResolutionPyramidImageFilter | |
| ResampleBase | This class is the elastix base class for all Resamplers |
| ResampleImageFilter | |
| SingleValuedCostFunction | |
| SingleValuedNonLinearOptimizer | |
| SpatialObject | |
| tmr::Timer | A class to time the different parts of the registration |
| xoutlibrary::xoutbase< charT, traits > | Base class for xout |
| xoutlibrary::xoutcell< charT, traits > | Stores the input in a string stream |
| xoutlibrary::xoutrow< charT, traits > | The xoutrow class can easily generate tables |
| xoutlibrary::xoutsimple< charT, traits > | Xout class with only basic functionality |
1.7.6.1