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 |