| ►Nelastix | |
| CAdaGrad | A gradient descent optimizer with an adaptive gain |
| CAdaptiveStochasticGradientDescent | A gradient descent optimizer with an adaptive gain |
| ►CAdaptiveStochasticLBFGS | A gradient descent optimizer with an adaptive gain |
| CMultiThreaderParameterType | |
| CSettingsType | |
| ►CAdaptiveStochasticVarianceReducedGradient | A gradient descent optimizer with an adaptive gain |
| CMultiThreaderParameterType | |
| CSettingsType | |
| CAdvancedAffineTransformElastix | A transform based on the itk::AdvancedMatrixOffsetTransformBase |
| CAdvancedBSplineTransform | A transform based on the itkAdvancedBSplineTransform |
| CAdvancedKappaStatisticMetric | An metric based on the itk::AdvancedKappaStatisticImageToImageMetric |
| CAdvancedMattesMutualInformationMetric | A metric based on the itk::ParzenWindowMutualInformationImageToImageMetric |
| CAdvancedMeanSquaresMetric | An metric based on the itk::AdvancedMeanSquaresImageToImageMetric |
| CAdvancedNormalizedCorrelationMetric | An metric based on the itk::AdvancedNormalizedCorrelationImageToImageMetric |
| CAffineDTITransformElastix | A transform based on the itk AffineDTITransform |
| CAffineLogStackTransform | An affine log transform based on the itkStackTransform |
| CAffineLogTransformElastix | This transform is an affine transformation, with a different parametrisation than the usual one |
| CBaseComponent | Class that all elastix components should inherit from |
| CBaseComponentSE | The BaseComponentSE class is a base class for elastix components that provides some basic functionality |
| CBSplineInterpolator | An interpolator based on the itkBSplineInterpolateImageFunction |
| CBSplineInterpolatorFloat | An interpolator based on the itk::BSplineInterpolateImageFunction |
| CBSplineResampleInterpolator | A resample-interpolator based on B-splines |
| CBSplineResampleInterpolatorFloat | A resample-interpolator based on B-splines |
| CBSplineStackTransform | A B-spline transform based on the itkStackTransform |
| CBSplineTransformWithDiffusion | This class combines a B-spline transform with the diffusion/filtering of the deformation field |
| CCMAEvolutionStrategy | An optimizer based on the itk::CMAEvolutionStrategyOptimizer |
| CComponentDatabase | Class that stores the New() functions of all components |
| CComponentLoader | Determines which components (metrics, transforms, etc.) are available |
| CConfiguration | A class that deals with user given parameters and command line arguments |
| CConjugateGradient | An optimizer based on the itk::GenericConjugateGradientOptimizer |
| CConjugateGradientFRPR | The ConjugateGradientFRPR class |
| CCorrespondingPointsEuclideanDistanceMetric | An metric based on the itk::CorrespondingPointsEuclideanDistancePointMetric |
| CDeformationFieldTransform | A transform based on a DeformationField |
| CDisplacementMagnitudePenalty | A penalty term that penalises ||T(x)-x|| |
| CDistancePreservingRigidityPenalty | A penalty term designed to preserve inter-voxel distances within rigid body regions |
| CELASTIX | |
| ►CElastixBase | This class creates an interface for elastix |
| CMultipleDataObjectFiller | |
| CMultipleImageLoader | |
| CElastixFilter | |
| CElastixMain | A class with all functionality to configure elastix |
| CElastixTemplate | The main elastix class, which connects components and invokes the BeforeRegistration(), BeforeEachResolution(), etc. methods |
| CEulerStackTransform | A stack transform based on the itk EulerTransforms |
| CEulerTransformElastix | A transform based on the itk EulerTransforms |
| CFiniteDifferenceGradientDescent | An optimizer based on the itk::FiniteDifferenceGradientDescentOptimizer |
| CFixedGenericPyramid | A pyramid based on the itk::GenericMultiResolutionPyramidImageFilter |
| CFixedImagePyramidBase | This class is the elastix base class for all FixedImagePyramids |
| CFixedRecursivePyramid | A pyramid based on the itk::RecursiveMultiResolutionPyramidImageFilter |
| CFixedShrinkingPyramid | A pyramid based on the itk::MultiResolutionShrinkPyramidImageFilter |
| CFixedSmoothingPyramid | A pyramid based on the itk::MultiResolutionGaussianSmoothingPyramidImageFilter |
| CFullSampler | An interpolator based on the itk::ImageFullSampler |
| CFullSearch | An optimizer based on the itk::FullSearchOptimizer |
| CGradientDifferenceMetric | An metric based on the itk::GradientDifferenceImageToImageMetric |
| CGridSampler | An interpolator based on the itk::ImageGridSampler |
| CImageSamplerBase | This class is the elastix base class for all ImageSamplers |
| CInstallFunctions | A class with functions that are used to install elastix components |
| CInterpolatorBase | This class is the elastix base class for all Interpolators |
| CKNNGraphAlphaMutualInformationMetric | A metric based on the itk::KNNGraphAlphaMutualInformationImageToImageMetric |
| CLinearInterpolator | An interpolator based on the itk::AdvancedLinearInterpolateImageFunction |
| CLinearResampleInterpolator | A linear resample-interpolator |
| CMetricBase | This class is the elastix base class for all Metrics |
| CMissingStructurePenalty | |
| CMovingGenericPyramid | A pyramid based on the itk::GenericMultiResolutionPyramidImageFilter |
| CMovingImagePyramidBase | This class is the elastix base class for all MovingImagePyramids |
| CMovingRecursivePyramid | A pyramid based on the itkRecursiveMultiResolutionPyramidImageFilter |
| CMovingShrinkingPyramid | A pyramid based on the itk::MultiResolutionShrinkPyramidImageFilter |
| CMovingSmoothingPyramid | A pyramid based on the itkMultiResolutionGaussianSmoothingPyramidImageFilter |
| CMultiBSplineTransformWithNormal | A transform based on the itkMultiBSplineDeformableTransformWithNormal |
| CMultiInputRandomCoordinateSampler | An interpolator based on the itk::MultiInputImageRandomCoordinateSampler |
| CMultiMetricMultiResolutionRegistration | A registration framework based on the itk::MultiMetricMultiResolutionImageRegistrationMethod |
| CMultiResolutionRegistration | A registration framework based on the itk::MultiResolutionImageRegistrationMethod |
| CMultiResolutionRegistrationWithFeatures | A registration framework based on the itk::MultiResolutionImageRegistrationMethodWithFeatures |
| CMutualInformationHistogramMetric | A metric based on the itk::MutualInformationHistogramImageToImageMetric |
| CMyStandardResampler | A resampler based on the itk::ResampleImageFilter |
| CNearestNeighborInterpolator | An interpolator based on the itkNearestNeighborInterpolateImageFunction |
| CNearestNeighborResampleInterpolator | A nearest neighbor resample-interpolator |
| CNormalizedGradientCorrelationMetric | An metric based on the itk::NormalizedGradientCorrelationImageToImageMetric |
| CNormalizedMutualInformationMetric | A metric based on the itk::ParzenWindowNormalizedMutualInformationImageToImageMetric |
| COpenCLFixedGenericPyramid | A pyramid based on the itk::GenericMultiResolutionPyramidImageFilter. The parameters used in this class are: |
| COpenCLMovingGenericPyramid | A pyramid based on the itk::GenericMultiResolutionPyramidImageFilter. The parameters used in this class are: |
| COpenCLResampler | A resampler based on the itk::GPUResampleImageFilter. The parameters used in this class are: |
| COptimizerBase | This class is the elastix base class for all Optimizers |
| CParameterObject | |
| CPatternIntensityMetric | An metric based on the itk::PatternIntensityImageToImageMetric |
| CPCAMetric |
- This metric is based on the AdvancedImageToImageMetric. It is templated over the type of the fixed and moving images to be compared
|
| CPCAMetric2 | This metric is based on the AdvancedImageToImageMetric. It is templated over the type of the fixed and moving images to be compared |
| CPolydataDummyPenalty | A dummy metric to generate transformed meshes at each iteration. This metric does not contribute to the cost function, but provides the options to read vtk polydata meshes from the command-line and write the transformed meshes to disk each iteration or resolution level. The command-line options for input meshes is: -fmesh<[A-Z]><MetricNumber>. This metric can be used as a base for other mesh-based penalties |
| CPowell | An optimizer based on Powell.. |
| ►CPreconditionedGradientDescent | A gradient descent optimizer with a decaying gain |
| CSettingsType | |
| ►CPreconditionedStochasticGradientDescent | A gradient descent optimizer with an adaptive gain |
| CSettingsType | |
| CProgressCommand | A specialized Command object for updating the progress of a filter |
| CQuasiNewtonLBFGS | An optimizer based on the itk::QuasiNewtonLBFGSOptimizer |
| CRandomCoordinateSampler | An interpolator based on the itk::ImageRandomCoordinateSampler |
| CRandomSampler | An interpolator based on the itk::ImageRandomSampler |
| CRandomSamplerSparseMask | An interpolator based on the itk::ImageRandomSamplerSparseMask |
| CRayCastInterpolator | An interpolator based on the itkAdvancedRayCastInterpolateImageFunction |
| CRayCastResampleInterpolator | An interpolator based on .. |
| CRecursiveBSplineTransform | A transform based on the itkRecursiveBSplineTransform |
| CReducedDimensionBSplineInterpolator | An interpolator based on the itkReducedDimensionBSplineInterpolateImageFunction |
| CReducedDimensionBSplineResampleInterpolator | A resample-interpolator based on B-splines which ignores the last dimension |
| CRegistrationBase | This class is the elastix base class for all Registration schemes |
| CRegularStepGradientDescent | An optimizer based on gradient descent.. |
| CResampleInterpolatorBase | This class is the elastix base class for all ResampleInterpolators |
| CResamplerBase | |
| CRSGDEachParameterApart | An optimizer based on gradient descent |
| CSimilarityTransformElastix | A transform based on the itk SimilarityTransforms |
| CSimplex | An optimizer based on Simplex.. |
| CSimultaneousPerturbation | An optimizer based on the itk::SPSAOptimizer |
| CSplineKernelTransform | A transform based on the itk::KernelTransform2 |
| CStandardGradientDescent | A gradient descent optimizer with a decaying gain |
| CStatisticalShapePenalty | An metric based on the itk::StatisticalShapePointPenalty |
| CSumOfPairwiseCorrelationCoefficientsMetric | Compute the sum of correlation coefficients between images in the slowest varying dimension in the moving image |
| CSumSquaredTissueVolumeDifferenceMetric | A metric based on the itk::SumSquaredTissueVolumeDifferenceImageToImageMetric |
| CTransformBase | This class is the elastix base class for all Transforms |
| CTransformBendingEnergyPenalty | A penalty term based on the bending energy of a thin metal sheet |
| CTransformixFilter | |
| CTransformixMain | A class with all functionality to configure transformix |
| CTransformRigidityPenalty | A penalty term based on non-rigidity |
| CTranslationStackTransform | |
| CTranslationTransformElastix | A transform based on the itk::TranslationTransform |
| CVarianceOverLastDimensionMetric | Compute the sum of variances over the slowest varying dimension in the moving image |
| CViolaWellsMutualInformationMetric | A metric based on the itk::MutualInformationImageToImageMetric |
| CWeightedCombinationTransformElastix | A transform based on the itk::WeightedCombinationTransform |
| ►Nitk | |
| ►NFunctor | |
| CGPUFunctorBase | Base functor class for GPU functor image filters |
| ►NStatistics | |
| CListSampleCArray | A ListSampleBase that internally uses a CArray, which can be accessed |
| CAdaptiveStepsizeOptimizer | This class implements a gradient descent optimizer with adaptive gain |
| CAdaptiveStochasticGradientDescentOptimizer | This class implements a gradient descent optimizer with adaptive gain |
| CAdaptiveStochasticLBFGSOptimizer | |
| CAdaptiveStochasticPreconditionedGradientDescentOptimizer | This class implements a gradient descent optimizer with adaptive gain |
| CAdaptiveStochasticVarianceReducedGradientOptimizer | This class implements a gradient descent optimizer with adaptive gain |
| CAdvancedBSplineDeformableTransform | Deformable transform using a B-spline representation |
| CAdvancedBSplineDeformableTransformBase | Base class for deformable transform using a B-spline representation |
| CAdvancedCombinationTransform | This class combines two transforms: an 'initial transform' with a 'current transform' |
| CAdvancedEuler3DTransform | AdvancedEuler3DTransform of a vector space (e.g. space coordinates) |
| CAdvancedIdentityTransform | Implementation of an Identity Transform |
| ►CAdvancedImageMomentsCalculator | Compute moments of an n-dimensional image |
| CComputePerThreadStruct | |
| CMultiThreaderParameterType | |
| ►CAdvancedImageToImageMetric | An extension of the ITK ImageToImageMetric. It is the intended base class for all elastix metrics |
| CGetValueAndDerivativePerThreadStruct | |
| CGetValuePerThreadStruct | |
| CMultiThreaderParameterType | |
| ►CAdvancedKappaStatisticImageToImageMetric | Computes similarity between two objects to be registered |
| CKappaGetValueAndDerivativePerThreadStruct | |
| CMultiThreaderAccumulateDerivativeType | |
| CAdvancedLinearInterpolateImageFunction | Linearly interpolate an image at specified positions |
| CAdvancedMatrixOffsetTransformBase | |
| CAdvancedMeanSquaresImageToImageMetric | Compute Mean square difference between two images, based on AdvancedImageToImageMetric.. |
| ►CAdvancedNormalizedCorrelationImageToImageMetric | Computes normalized correlation between two images, based on AdvancedImageToImageMetric.. |
| CCorrelationGetValueAndDerivativePerThreadStruct | |
| CMultiThreaderAccumulateDerivativeType | |
| CAdvancedRayCastInterpolateImageFunction | Projective interpolation of an image at specified positions |
| CAdvancedRigid2DTransform | AdvancedRigid2DTransform of a vector space (e.g. space coordinates) |
| CAdvancedRigid3DTransform | AdvancedRigid3DTransform of a vector space (e.g. space coordinates) |
| CAdvancedSimilarity2DTransform | AdvancedSimilarity2DTransform of a vector space (e.g. space coordinates) |
| CAdvancedSimilarity3DTransform | AdvancedSimilarity3DTransform of a vector space (e.g. space coordinates) |
| CAdvancedTransform | Transform maps points, vectors and covariant vectors from an input space to an output space |
| CAdvancedTranslationTransform | Translation transformation of a vector space (e.g. space coordinates) |
| CAdvancedVersorRigid3DTransform | AdvancedVersorRigid3DTransform of a vector space (e.g. space coordinates) |
| CAdvancedVersorTransform | |
| CAffineDTI2DTransform | |
| CAffineDTI3DTransform | AffineDTI3DTransform of a vector space (e.g. space coordinates) |
| CAffineLogTransform | |
| CANNbdTree | |
| CANNBinaryTreeCreator | |
| CANNBruteForceTree | |
| CANNFixedRadiusTreeSearch | |
| CANNkDTree | |
| CANNPriorityTreeSearch | |
| CANNStandardTreeSearch | |
| CBinaryANNTreeBase | |
| CBinaryANNTreeSearchBase | |
| CBinaryTreeBase | |
| CBinaryTreeSearchBase | |
| CBSplineDerivativeKernelFunction2 | Derivative of a B-spline kernel used for density estimation and nonparametric regression |
| CBSplineInterpolationDerivativeWeightFunction | Returns the weights over the support region used for B-spline interpolation/reconstruction |
| CBSplineInterpolationSecondOrderDerivativeWeightFunction | Returns the weights over the support region used for B-spline interpolation/reconstruction |
| CBSplineInterpolationWeightFunction2 | Returns the weights over the support region used for B-spline interpolation/reconstruction |
| CBSplineInterpolationWeightFunctionBase | Returns the weights over the support region used for B-spline interpolation/reconstruction |
| CBSplineKernelFunction2 | B-spline kernel used for density estimation and nonparameteric regression |
| CBSplineSecondOrderDerivativeKernelFunction2 | Derivative of a B-spline kernel used for density estimation and nonparametric regression |
| CCenteredTransformInitializer2 | 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 |
| CCMAEvolutionStrategyOptimizer | A Covariance Matrix Adaptation Evolution Strategy Optimizer |
| CCombinationImageToImageMetric | Combines multiple metrics |
| ►CComputeDisplacementDistribution | This is a helper class for the automatic parameter estimation of the ASGD optimizer |
| CComputePerThreadStruct | |
| CMultiThreaderParameterType | |
| CComputeImageExtremaFilter | Compute min. max, variance and mean of an Image |
| CComputeJacobianTerms | This is a helper class for the automatic parameter estimation of the ASGD optimizer |
| CComputePreconditionerUsingDisplacementDistribution | This is a helper class for the automatic estimation of a preconditioner for the FPSGD optimizer. // update below More specifically this class computes the Jacobian terms related to the automatic parameter estimation for the adaptive stochastic gradient descent optimizer. Details can be found in the TMI paper |
| CCorrespondingPointsEuclideanDistancePointMetric | Computes the Euclidean distance between a moving point-set and a fixed point-set. Correspondence is needed |
| CCyclicBSplineDeformableTransform | Deformable transform using a B-spline representation in which the B-spline grid is formulated in a cyclic way |
| CCyclicGridScheduleComputer | This class computes all information about the B-spline grid |
| CDeformationFieldInterpolatingTransform | Transform that interpolates a given deformation field |
| CDeformationFieldRegulizer | This class combines any itk transform with the DeformationFieldTransform |
| CDeformationVectorFieldTransform | An itk transform based on a DeformationVectorField |
| CDisplacementMagnitudePenaltyTerm | A cost function that calculates  |
| CDistancePreservingRigidityPenaltyTerm | |
| CElasticBodyReciprocalSplineKernelTransform2 | |
| CElasticBodySplineKernelTransform2 | |
| CErodeMaskImageFilter | |
| CEulerTransform | This class combines the Euler2DTransform with the Euler3DTransform |
| CEulerTransform< TScalarType, 3 > | |
| CExponentialLimiterFunction | A soft limiter |
| CFiniteDifferenceGradientDescentOptimizer | An optimizer based on gradient descent .. |
| CFullSearchOptimizer | An optimizer based on full search |
| CGenericConjugateGradientOptimizer | A set of conjugate gradient algorithms |
| CGenericMultiResolutionPyramidImageFilter | Framework for creating images in a multi-resolution pyramid |
| CGetConstNumberOfIndicesHack | |
| CGetConstNumberOfIndicesHack< SplineOrder, 0 > | |
| CGPUAdvancedBSplineDeformableTransform | GPU version of AdvancedBSplineDeformableTransform |
| CGPUAdvancedBSplineDeformableTransformFactory2 | |
| CGPUAdvancedCombinationTransform | GPU version of AdvancedCombinationTransform |
| ►CGPUAdvancedCombinationTransformCopier | A helper class which creates an GPU AdvancedCombinationTransform which is perfect copy of the CPU AdvancedCombinationTransform |
| CTransformSpaceDimensionToType | |
| CGPUAdvancedCombinationTransformFactory2 | |
| CGPUAdvancedEuler2DTransform | GPU version of AdvancedEuler2DTransform |
| CGPUAdvancedEuler2DTransformFactory2 | |
| CGPUAdvancedEuler3DTransform | GPU version of AdvancedEuler3DTransform |
| CGPUAdvancedEuler3DTransformFactory2 | |
| CGPUAdvancedMatrixOffsetTransformBase | GPU version of AdvancedMatrixOffsetTransformBase |
| CGPUAdvancedMatrixOffsetTransformBaseFactory2 | |
| CGPUAdvancedSimilarity2DTransform | GPU version of AdvancedSimilarity2DTransform |
| CGPUAdvancedSimilarity2DTransformFactory2 | |
| CGPUAdvancedSimilarity3DTransform | GPU version of AdvancedSimilarity3DTransform |
| CGPUAdvancedSimilarity3DTransformFactory2 | |
| CGPUAdvancedTranslationTransform | GPU version of AdvancedTranslationTransform |
| CGPUAdvancedTranslationTransformFactory2 | |
| CGPUAffineTransform | GPU version of AffineTransform |
| CGPUAffineTransformFactory2 | |
| CGPUBSplineBaseTransform | GPU base class for the BSplineTransform |
| CGPUBSplineDecompositionImageFilter | GPU version of BSplineDecompositionImageFilter |
| CGPUBSplineDecompositionImageFilterFactory2 | Object Factory implementation for GPUBSplineDecompositionImageFilter |
| CGPUBSplineInterpolateImageFunction | GPU version of BSplineInterpolateImageFunction |
| CGPUBSplineInterpolateImageFunctionFactory2 | Object Factory implementation for GPUBSplineInterpolateImageFunction |
| CGPUBSplineTransform | GPU version of BSplineTransform |
| CGPUBSplineTransformFactory2 | |
| CGPUCastImageFilter | GPU version of CastImageFilter |
| CGPUCastImageFilterFactory2 | Object Factory implementation for GPUCastImageFilter |
| CGPUCompositeTransform | GPU version of CompositeTransform |
| CGPUCompositeTransformBase | |
| CGPUCompositeTransformCopier | A helper class which creates an GPU composite transform which is perfect copy of the CPU composite transform |
| CGPUCompositeTransformFactory2 | |
| CGPUDataManager | GPU memory manager implemented using OpenCL. Required by GPUImage class |
| CGPUEuler2DTransform | GPU version of Euler2DTransform |
| CGPUEuler2DTransformFactory2 | |
| CGPUEuler3DTransform | GPU version of Euler3DTransform |
| CGPUEuler3DTransformFactory2 | |
| CGPUIdentityTransform | GPU version of IdentityTransform |
| CGPUIdentityTransformFactory2 | |
| CGPUImage | Templated n-dimensional image class for the GPU |
| CGPUImageBase1D | |
| CGPUImageBase2D | |
| CGPUImageBase3D | |
| CGPUImageDataManager | |
| CGPUImageFactory2 | Object Factory implementation for GPUImage |
| CGPUImageToImageFilter | Class to abstract the behaviour of the GPU filters |
| CGPUInPlaceImageFilter | Base class for GPU filters that take an image as input and overwrite that image as the output |
| CGPUInterpolateImageFunction | GPU version of InterpolateImageFunction |
| CGPUInterpolatorBase | Base class fro all GPU interpolators |
| CGPUInterpolatorCopier | A helper class which creates an GPU interpolator which is perfect copy of the CPU interpolator |
| CGPULinearInterpolateImageFunction | GPU version of LinearInterpolateImageFunction |
| CGPULinearInterpolateImageFunctionFactory2 | Object Factory implementation for GPULinearInterpolateImageFunction |
| CGPUMatrixOffsetTransformBase | Base version of the GPU MatrixOffsetTransform |
| CGPUNearestNeighborInterpolateImageFunction | GPU version of NearestNeighborInterpolateImageFunction |
| CGPUNearestNeighborInterpolateImageFunctionFactory2 | Object Factory implementation for GPUNearestNeighborInterpolateImageFunction |
| CGPUObjectFactoryBase | Base class for all GPU factory classes |
| CGPURecursiveGaussianImageFilter | GPU version of RecursiveGaussianImageFilter |
| CGPURecursiveGaussianImageFilterFactory2 | Object Factory implementation for GPURecursiveGaussianImageFilter |
| CGPUResampleImageFilter | GPU version of ResampleImageFilter |
| CGPUResampleImageFilterFactory2 | Object Factory implementation for GPUResampleImageFilter |
| CGPUShrinkImageFilter | GPU version of ShrinkImageFilter |
| CGPUShrinkImageFilterFactory2 | Object Factory implementation for GPUShrinkImageFilter |
| CGPUSimilarity2DTransform | GPU version of Similarity2DTransform |
| CGPUSimilarity2DTransformFactory2 | |
| CGPUSimilarity3DTransform | GPU version of Similarity3DTransform |
| CGPUSimilarity3DTransformFactory2 | |
| CGPUTransformBase | Base class for all GPU transforms |
| ►CGPUTransformCopier | A helper class which creates an GPU transform which is perfect copy of the CPU transform |
| CTransformSpaceDimensionToType | |
| CGPUTranslationTransform | GPU version of TranslationTransform |
| CGPUTranslationTransformBase | Base class for all GPU translation transforms |
| CGPUTranslationTransformFactory2 | |
| CGPUUnaryFunctorImageFilter | Implements pixel-wise generic operation on one image using the GPU |
| CGradientDescentOptimizer2 | Implement a gradient descent optimizer |
| CGradientDifferenceImageToImageMetric | Computes similarity between two objects to be registered |
| CGridScheduleComputer | This class computes all information about the B-spline grid, given the image information and the desired grid spacing |
| CHardLimiterFunction | A hard limiter |
| CImageFileCastWriter | Casts pixel type and writes image data |
| CImageFullSampler | Samples all voxels in the InputImageRegion |
| CImageGridSampler | Samples image voxels on a regular grid |
| CImageIOFactoryRegisterManager | |
| CImageRandomCoordinateSampler | Samples an image by randomly composing a set of physical coordinates |
| CImageRandomSampler | Samples randomly some voxels of an image |
| CImageRandomSamplerBase | This class is a base class for any image sampler that randomly picks samples |
| CImageRandomSamplerSparseMask | Samples randomly some voxels of an image |
| CImageSample | A class that defines an image sample, which is the coordinates of a point and its value |
| CImageSamplerBase | This class is a base class for any image sampler |
| CImageToImageMetricWithFeatures | Computes similarity between regions of two images |
| ►CImageToVectorContainerFilter | Base class that takes in an image and pops out a vector container |
| CThreadStruct | |
| CKernelFunctionBase2 | Kernel used for density estimation and nonparameteric regression |
| CKernelTransform2 | |
| CKNNGraphAlphaMutualInformationImageToImageMetric | Computes similarity between two images to be registered |
| CLimiterFunctionBase | Base class for all ITK limiter function objects |
| CLineSearchOptimizer | A base class for LineSearch optimizers |
| CMeshFileReaderBase | Base class for mesh readers |
| CMeshIOFactoryRegisterManager | |
| CMeshPenalty | A dummy metric to generate transformed meshes each iteration |
| CMevisDicomTiffImageIO | |
| CMevisDicomTiffImageIOFactory | Create instances of MevisDicomTiffImageIO objects using an object factory |
| CMissingVolumeMeshPenalty | Computes the (pseudo) volume of the transformed surface mesh of a structure.
|
| CMoreThuenteLineSearchOptimizer | ITK version of the MoreThuente line search algorithm |
| CMultiBSplineDeformableTransformWithNormal | This transform is a composition of B-spline transformations, allowing sliding motion between different labels |
| CMultiInputImageRandomCoordinateSampler | Samples an image by randomly composing a set of physical coordinates |
| CMultiInputImageToImageMetricBase | Implements a metric base class that takes multiple inputs |
| CMultiInputMultiResolutionImageRegistrationMethodBase | Base class for multi-resolution image registration methods |
| CMultiMetricMultiResolutionImageRegistrationMethod | Base class for multi-resolution image registration methods |
| CMultiOrderBSplineDecompositionImageFilter | Calculates the B-Spline coefficients of an image. Spline order may be per dimension from 0 to 5 per |
| CMultiResolutionGaussianSmoothingPyramidImageFilter | Framework for creating images in a multi-resolution pyramid |
| CMultiResolutionImageRegistrationMethod2 | Base class for multi-resolution image registration methods |
| CMultiResolutionImageRegistrationMethodWithFeatures | Class for multi-resolution image registration methods |
| CMultiResolutionShrinkPyramidImageFilter | Framework for creating images in a multi-resolution pyramid |
| CNDImageBase | An image whose dimension can be specified at runtime |
| CNDImageTemplate | This class is a specialization of the NDImageBase, which acts as a wrap around an itk::Image |
| CNormalizedGradientCorrelationImageToImageMetric | An metric based on the itk::NormalizedGradientCorrelationImageToImageMetric |
| COpenCLBuffer | OpenCL buffer object |
| COpenCLCommandQueue | OpenCL a command-queue on a specific device and valid OpenCLContext |
| COpenCLCompileError | |
| COpenCLContext | OpenCL context |
| COpenCLDefaultImageDimentions | Default OpenCL image dimensions support struct |
| COpenCLDevice | Collection of OpenCL devices to be used by the host |
| COpenCLEvent | OpenCLEvent class represents an OpenCL event object |
| COpenCLEventList | OpenCLEventList class represents a list of OpenCLEvent objects |
| COpenCLImage | Image object is used to store a one, two or three dimensional texture, frame-buffer or image |
| COpenCLImageFormat | Format of a OpenCLImage |
| COpenCLKernel | Executable entry point function in an OpenCL program |
| ►COpenCLKernelManager | OpenCL kernel manager implemented using OpenCL |
| CKernelArgumentList | |
| COpenCLKernelToImageBridge | |
| COpenCLLogger | Used for logging OpenCL compiler errors during a run |
| COpenCLMemoryObject | All common memory objects such as buffers and image objects |
| COpenCLPlatform | The OpenCLPlatform represent platform model for OpenCL |
| COpenCLProfilingTimeProbe | Computes the time passed between two points in code |
| COpenCLProgram | OpenCL program object |
| COpenCLSampler | OpenCL sampler object |
| ►COpenCLSize | Defines the size of an item of work for an OpenCL kernel |
| CNull | |
| COpenCLUserEvent | OpenCL user events |
| COpenCLVector | The OpenCLVector class represents a templated OpenCL buffer object |
| COpenCLVectorBase | The base class for the OpenCLVector implementation |
| CParabolicErodeDilateImageFilter | Parent class for morphological operations with parabolic structuring elements |
| CParabolicErodeImageFilter | Class for morphological erosion operations with parabolic structuring elements |
| CParameterFileParser | Implements functionality to read a parameter file |
| CParameterMapInterface | Implements functionality to get parameters from a parameter map |
| ►CParzenWindowHistogramImageToImageMetric | A base class for image metrics based on a joint histogram computed using Parzen Windowing |
| CParzenWindowHistogramGetValueAndDerivativePerThreadStruct | |
| CParzenWindowHistogramMultiThreaderParameterType | |
| ►CParzenWindowMutualInformationImageToImageMetric | Computes the mutual information between two images to be registered using the method of Mattes et al |
| CParzenWindowMutualInformationMultiThreaderParameterType | |
| CParzenWindowNormalizedMutualInformationImageToImageMetric | Computes the normalized mutual information between two images to be registered using a method based on Thevenaz&Unser [3] |
| CPatternIntensityImageToImageMetric | Computes similarity between two objects to be registered |
| ►CPCAMetric | |
| CPCAMetricGetSamplesPerThreadStruct | |
| CPCAMetricMultiThreaderParameterType | |
| CPCAMetric2 | |
| CPreconditionedASGDOptimizer | This class implements a gradient descent optimizer with adaptive gain |
| CPreconditionedGradientDescentOptimizer | Implement a gradient descent optimizer |
| CQuasiNewtonLBFGSOptimizer | ITK version of the lbfgs algorithm .. |
| CRecursiveBSplineInterpolationWeightFunction | Returns the weights over the support region used for B-spline interpolation/reconstruction |
| CRecursiveBSplineTransform | A recursive implementation of the B-spline transform |
| CRecursiveBSplineTransformImplementation | This helper class contains the actual implementation of the recursive B-spline transform |
| CRecursiveBSplineTransformImplementation< OutputDimension, 0, SplineOrder, TScalar > | |
| CReducedDimensionBSplineInterpolateImageFunction | Evaluates the B-Spline interpolation of an image. Spline order may be from 0 to 5 |
| CRSGDEachParameterApartBaseOptimizer | An optimizer based on gradient descent.. |
| CRSGDEachParameterApartOptimizer | An optimizer based on gradient descent |
| CScaledSingleValuedCostFunction | A cost function that applies a scaling to another cost function |
| CScaledSingleValuedNonLinearOptimizer | |
| CSingleValuedPointSetToPointSetMetric | Computes similarity between two point sets |
| CStackTransform | Implements stack of transforms: one for every last dimension index |
| CStandardGradientDescentOptimizer | This class implements a gradient descent optimizer with a decaying gain |
| CStandardStochasticGradientOptimizer | This class implements a gradient descent optimizer with a decaying gain |
| CStandardStochasticVarianceReducedGradientOptimizer | This class implements a gradient descent optimizer with a decaying gain |
| CStatisticalShapePointPenalty | Computes the Mahalanobis distance between the transformed shape and a mean shape. A model mean and covariance are required |
| ►CStochasticGradientDescentOptimizer | Implement a gradient descent optimizer |
| CMultiThreaderParameterType | |
| CStochasticPreconditionedGradientDescentOptimizer | This class implements a gradient descent optimizer with a decaying gain and preconditioning |
| ►CStochasticVarianceReducedGradientDescentOptimizer | Implement a gradient descent optimizer |
| CMultiThreaderParameterType | |
| CSumOfPairwiseCorrelationCoefficientsMetric | |
| CSumSquaredTissueVolumeDifferenceImageToImageMetric | Compute sum of square tissue volume difference between two images |
| CThinPlateR2LogRSplineKernelTransform2 | |
| CThinPlateSplineKernelTransform2 | |
| CTransformBendingEnergyPenaltyTerm | A cost function that calculates the bending energy of a transformation |
| CTransformIOFactoryRegisterManager | |
| CTransformixInputPointFileReader | A reader that understands transformix input point files |
| CTransformPenaltyTerm | A cost function that calculates a penalty term on a transformation |
| CTransformRigidityPenaltyTerm | A cost function that calculates a rigidity penalty term |
| CTransformToDeterminantOfSpatialJacobianSource | Generate the spatial Jacobian from a coordinate transform |
| CTransformToSpatialJacobianSource | Generate the spatial Jacobian matrix from a coordinate transform |
| CTranslationTransformInitializer | TranslationTransformInitializer is a helper class intended to initialize the translation of a TranslationTransforms |
| CUpsampleBSplineParametersFilter | Convenience class for upsampling a B-spline coefficient image |
| CVarianceOverLastDimensionImageMetric | Compute the sum of variances over the slowest varying dimension in the moving image |
| CVectorContainerSource | A base class for creating an ImageToVectorContainerFilter |
| CVectorDataContainer | Define a front-end to the STL "vector" container that conforms to the IndexedContainerInterface |
| CVectorMeanDiffusionImageFilter | Applies an averaging filter to an image |
| CVolumeSplineKernelTransform2 | |
| CWeightedCombinationTransform | Implements a weighted linear combination of multiple transforms |
| ►Ntransformix | |
| CTRANSFORMIX | |
| ►Ntypelist | |
| CVisitDimension | Runs a templated predicate on each type in the list with dimension provided as template parameter |
| ►Nxoutlibrary | |
| Cxoutbase | Base class for xout |
| Cxoutcell | Stores the input in a string stream |
| Cxoutrow | The xoutrow class can easily generate tables |
| Cxoutsimple | Xout class with only basic functionality |
1.9.1 
