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Class Hierarchy |

This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 1 2 3 4]

C AbsPowerSum< N > | Basic statistic. AbsPowerSum<N> =
C AccumulatorChain< T, Selected, dynamic > | Create an accumulator chain containing the selected statistics and their dependencies
C AccumulatorChain< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected, dynamic > |
►C AccumulatorChain< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected, true > |
C DynamicAccumulatorChain< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected > |
►C AccumulatorChain< CoupledHandleType< N >::type, SELECT > |
C StandAloneDataFreeAccumulatorChain< N, SELECT > | Create an accumulator chain that works independently of a MultiArray
►C AccumulatorChain< CoupledHandleType< N, T >::type, SELECT > |
C StandAloneAccumulatorChain< N, T, SELECT > | Create an accumulator chain that works independently of a MultiArray
►C AccumulatorChain< T, Selected, true > |
C DynamicAccumulatorChain< T, Selected > | Create a dynamic accumulator chain containing the selected statistics and their dependencies
C AccumulatorChainArray< T, Selected, dynamic > | Create an array of accumulator chains containing the selected per-region and global statistics and their dependencies
C AccumulatorChainArray< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected, dynamic > |
►C AccumulatorChainArray< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected, true > |
C DynamicAccumulatorChainArray< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected > |
►C AccumulatorChainArray< T, Selected, true > |
C DynamicAccumulatorChainArray< T, Selected > | Create an array of dynamic accumulator chains containing the selected per-region and global statistics and their dependencies
C AdjacencyListGraph | Undirected adjacency list graph in the LEMON API
C AffineMotionEstimationOptions< SPLINEORDER > | Option object for affine registration functions
C Any | Typesafe storage of arbitrary values
C AdjacencyListGraph::ArcMap< T > | Default arc map
C ArgMaxWeight | Basic statistic. Data where weight assumes its maximal value
C ArgMinWeight | Basic statistic. Data value where weight assumes its minimal value
C ArrayOfRegionStatistics< RegionStatistics, LabelType > | Calculate statistics for all regions of a labeled image
►C ArrayVectorView< T > |
C ArrayVector< T > |
C ArrayVector< T, Alloc > |
►C ArrayVectorView< arc_descriptor > |
C ArrayVector< arc_descriptor > |
►C ArrayVectorView< ARITHTYPE > |
C ArrayVector< ARITHTYPE > |
►C ArrayVectorView< ArrayVector< bool > > |
C ArrayVector< ArrayVector< bool > > |
►C ArrayVectorView< ArrayVector< edge_descriptor > > |
C ArrayVector< ArrayVector< edge_descriptor > > |
►C ArrayVectorView< ArrayVector< MultiArrayIndex > > |
C ArrayVector< ArrayVector< MultiArrayIndex > > |
►C ArrayVectorView< AxisInfo > |
C ArrayVector< AxisInfo > |
►C ArrayVectorView< BinType > |
C ArrayVector< BinType > |
►C ArrayVectorView< bool > |
C ArrayVector< bool > |
►C ArrayVectorView< char > |
C ArrayVector< char > |
►C ArrayVectorView< ClassLabelType > |
C ArrayVector< ClassLabelType > |
►C ArrayVectorView< DecisionTree_t > |
C ArrayVector< DecisionTree_t > |
►C ArrayVectorView< detail::DecisionTreeDeprec > |
C ArrayVector< detail::DecisionTreeDeprec > |
►C ArrayVectorView< double > |
C ArrayVector< double > |
►C ArrayVectorView< hsize_t > |
C ArrayVector< hsize_t > |
►C ArrayVectorView< ImageType > |
C ArrayVector< ImageType, Alloc > |
►C ArrayVectorView< index_type > |
C ArrayVector< index_type > |
►C ArrayVectorView< IndexType > |
C ArrayVector< IndexType > |
►C ArrayVectorView< int > |
C ArrayVector< int > |
►C ArrayVectorView< INT > |
C ArrayVector< INT > |
►C ArrayVectorView< Int32 > |
C ArrayVector< Int32 > |
►C ArrayVectorView< Label > |
C ArrayVector< Label > |
►C ArrayVectorView< Label_t > |
C ArrayVector< Label_t > |
►C ArrayVectorView< MultiArrayIndex > |
C ArrayVector< MultiArrayIndex > |
►C ArrayVectorView< NeighborOffsetArray > |
C ArrayVector< NeighborOffsetArray > |
►C ArrayVectorView< Node > |
C ArrayVector< Node > |
►C ArrayVectorView< npy_intp > |
C ArrayVector< npy_intp > |
►C ArrayVectorView< Permutation< 1 > > |
C ArrayVector< Permutation< 1 > > |
►C ArrayVectorView< Permutation< N > > |
C ArrayVector< Permutation< N > > |
►C ArrayVectorView< POINT > |
►C ArrayVector< POINT > |
C Polygon< POINT > |
►C ArrayVectorView< point_type > |
►C ArrayVector< point_type > |
C Polygon< point_type > |
►C ArrayVectorView< RegionAccumulatorChain > |
C ArrayVector< RegionAccumulatorChain > |
►C ArrayVectorView< Segment > |
C ArrayVector< Segment > |
►C ArrayVectorView< shape_type > |
C ArrayVector< shape_type > |
►C ArrayVectorView< SharedChunkHandle< N, T > * > |
C ArrayVector< SharedChunkHandle< N, T > * > |
►C ArrayVectorView< size_t > |
C ArrayVector< size_t > |
►C ArrayVectorView< std::pair< Int32, double > > |
C ArrayVector< std::pair< Int32, double > > |
►C ArrayVectorView< std::ptrdiff_t > |
C ArrayVector< std::ptrdiff_t > |
►C ArrayVectorView< std::queue< ValueType > > |
C ArrayVector< std::queue< ValueType > > |
►C ArrayVectorView< unsigned char > |
C ArrayVector< unsigned char > |
►C ArrayVectorView< vigra::ArrayVector< index_type > > |
C ArrayVector< vigra::ArrayVector< index_type > > |
►C ArrayVectorView< vigra::ArrayVector< typename out_edge_iterator::value_type > > |
C ArrayVector< vigra::ArrayVector< typename out_edge_iterator::value_type > > |
►C ArrayVectorView< vigra::linalg::Matrix< Complex > > |
C ArrayVector< vigra::linalg::Matrix< Complex > > |
►C ArrayVectorView< vigra::TinyVector > |
C ArrayVector< vigra::TinyVector > |
C AutoRangeHistogram< BinCount > | Histogram where range mapping bounds are defined by minimum and maximum of data
C BasicImage< PIXELTYPE, Alloc > | Fundamental class template for images
C BasicImage< double > |
C BasicImage< float > |
C BasicImage< InternalValue > |
C BasicImage< TinyVector< double, 2 > > |
C BasicImage< value_type > |
C BasicImage< VALUETYPE > |
C BasicImageIteratorBase< IMAGEITERATOR, PIXELTYPE, REFERENCE, POINTER, LINESTARTITERATOR > |
►C BasicImageIteratorBase< BasicImageIterator< PIXELTYPE, ITERATOR >, PIXELTYPE, PIXELTYPE &, PIXELTYPE *, ITERATOR > |
C BasicImageIterator< PIXELTYPE, ITERATOR > |
►C BasicImageIteratorBase< ConstBasicImageIterator< PIXELTYPE, ITERATOR >, PIXELTYPE, PIXELTYPE const &, PIXELTYPE const *, ITERATOR > |
C ConstBasicImageIterator< PIXELTYPE, ITERATOR > |
C BasicImageView< PIXELTYPE > | BasicImage using foreign memory
C BestGiniOfColumn< LineSearchLossTag > |
C BestGiniOfColumn< vigra::GiniCriterion > |
C BilinearInterpolatingAccessor< ACCESSOR, VALUETYPE > | Bilinear interpolation at non-integer positions
C BinaryForest | BinaryForest stores a collection of rooted binary trees
C BlueAccessor< RGBVALUE > |
C Box< VALUETYPE, DIMENSION > | Represent an n-dimensional box as a (begin, end) pair. Depending on the value type, end() is considered to be outside the box (as in the STL, for integer types), or inside (for floating point types). size() will always be end() - begin()
C Box< PointValue, DIM > |
C BrightnessContrastFunctor< PixelType > | Adjust brightness and contrast of an image
C BrightnessContrastFunctor< ComponentType > |
C BrightnessContrastFunctor< unsigned char > |
►C BSplineBase< ORDER, T > |
C BSpline< ORDER, T > |
►C BSplineBase< ORDER, double > |
C BSpline< ORDER, double > |
►C BucketQueue< ValueType, Ascending > | Priority queue implemented using bucket sort
C MappedBucketQueue< ValueType, PriorityFunctor, Ascending > | Priority queue implemented using bucket sort (STL compatible)
C CatmullRomSpline< T > |
C Central< TAG > | Modifier. Substract mean before computing statistic
C Central< PowerSum< 2 > > | Spezialization: works in pass 1, operator+=() supported (merging supported)
C Central< PowerSum< 3 > > | Specialization: works in pass 2, operator+=() supported (merging supported)
C Central< PowerSum< 4 > > | Specialization: works in pass 2, operator+=() supported (merging supported)
C CentralMoment< N > | Alias. CentralMoment<N>
C ChangeablePriorityQueue< T, COMPARE > | Heap-based changable priority queue with a maximum number of elemements
C ChangeablePriorityQueue< ValueType > |
C ChangeablePriorityQueue< WeightType > |
►C ChunkedArray< N, T > | Interface and base class for chunked arrays
C ChunkedArrayCompressed< N, T, Alloc > |
C ChunkedArrayFull< N, T, Alloc > |
C ChunkedArrayHDF5< N, T, Alloc > |
C ChunkedArrayLazy< N, T, Alloc > |
C ChunkedArrayTmpFile< N, T > |
C ChunkedArrayOptions | Option object for ChunkedArray construction
C ChunkedArrayTag |
C cl_charNAccessor_COMP |
C cl_TYPE3WriteAccessor_s1 |
C cl_TYPE3WriteAccessor_s2 |
C ClusteringOptions | Options object for hierarchical clustering
C ColumnIterator< IMAGE_ITERATOR > | Iterator adapter to linearly access columns
C ConstValueIterator< PIXELTYPE > | Iterator that always returns the constant specified in the constructor
C ConvexHull | Compute the convex hull of a region
C ConvexHullFeatures | Compute object features related to the convex hull
C ConvolutionOptions< dim > | Options class template for convolutions
C ConvolutionOptions< DIM > |
►C ConvolutionOptions< N > |
C BlockwiseConvolutionOptions< N > |
C Coord< TAG > | Modifier. Compute statistic from pixel coordinates rather than from pixel values
C CoordinateConstValueAccessor< Accessor, COORD > | Forward accessor to the value() part of the values an iterator points to
C CoordinateSystem | Basic statistic. Identity matrix of appropriate size
C CorrectStatus |
C CoscotFunction< T > |
C CountingIterator< T > | Iterator that counts upwards or downwards with a given step size
C CoupledHandle< T, NEXT > |
►C CoupledIteratorType< N, T1, T2, T3, T4, T5 > |
C CoupledArrays< N, T1, T2, T3, T4, T5 > |
►C CoupledScanOrderIterator< N, HANDLES, DIMENSION > | Iterate over multiple images simultaneously in scan order
C StridedScanOrderIterator< N, V, REFERENCE, POINTER > | Sequential iterator for MultiArrayView
►C CoupledScanOrderIterator< N > |
C MultiCoordinateIterator< N > | Iterate over a virtual array where each element contains its coordinate
C CrackContourCirculator< IMAGEITERATOR > | Circulator that walks around a given region
C DataArg< INDEX > | Specifies index of data in CoupledHandle
C DepthStop | Random forest 'maximum depth' stop criterion
►C Diff2D | Two dimensional difference vector
C Point2D | Two dimensional point or position
C Size2D | Two dimensional size object
C DiffusivityFunctor< Value > | Diffusivity functor for non-linear diffusion
C Dist2D |
C DistancePowerFunctor< N > |
C DivideByCount< TAG > | Modifier. Divide statistic by Count: DivideByCount<TAG> = TAG / Count
C DivideUnbiased< TAG > | Modifier. Divide statistics by Count-1: DivideUnbiased<TAG> = TAG / (Count-1)
C Draw< T1, T2, C1, C2 > |
C DT_StackEntry< Iter > |
C DualVector< T, N > |
C EarlyStoppStd | Standard early stopping criterion
C Edgel |
C AdjacencyListGraph::EdgeMap< T > | Default edge map
C EdgeWeightNodeFeatures< MERGE_GRAPH, EDGE_INDICATOR_MAP, EDGE_SIZE_MAP, NODE_FEATURE_MAP, NODE_SIZE_MAP, MIN_WEIGHT_MAP, NODE_LABEL_MAP > | This Cluster Operator is a MONSTER. It can really do a lot
C EnhancedFrostFunctor< VALUETYPE > | This function tries to reduce the speckle noise of an image by applying the Enhanced Frost filter
C EnhancedLeeFunctor< VALUETYPE > | This function tries to reduce the speckle noise of an image by applying the Enhanced Lee filter
C EntropyCriterion |
C EntropyScore | Functor that computes the entropy score
C FFTWComplex< Real > | Wrapper class for the FFTW complex types '`fftw_complex`'
►C FFTWConvolvePlan< N, Real > |
C FFTWCorrelatePlan< N, Real > |
C FFTWImaginaryAccessor< Real > |
C FFTWLogMagnitudeAccessor< Real > |
C FFTWMagnitudeAccessor< Real > |
C FFTWPhaseAccessor< Real > |
C FFTWPlan< N, Real > |
►C FFTWRealAccessor< Real > |
C FFTWWriteRealAccessor< Real > |
C FFTWSquaredMagnitudeAccessor< Real > |
C FilterIterator< PREDICATE, ITER > | This iterator creates a view of another iterator and skips elements that do not fulfill a given predicate
C FindAverage< VALUETYPE > | Find the average pixel value in an image or ROI
C FindAverageAndVariance< VALUETYPE > | Find the average pixel value and its variance in an image or ROI
C FindBoundingRectangle | Calculate the bounding rectangle of an ROI in an image
C FindMinMax< VALUETYPE > | Find the minimum and maximum pixel value in an image or ROI
C FindROISize< VALUETYPE > | Calculate the size of an ROI in an image
C FindSum< VALUETYPE > | Find the sum of the pixel values in an image or ROI
C FirstSeen | Basic statistic. First data value seen of the object
C FixedPoint< IntBits, FractionalBits > |
C FixedPoint16< IntBits, OverflowHandling > |
C FlatScatterMatrix | Basic statistic. Flattened uppter-triangular part of scatter matrix
C FunctorTraits< T > | Export associated information for a functor
C GammaFunctor< PixelType > | Perform gamma correction of an image
C GammaFunctor< ComponentType > |
C GammaFunctor< unsigned char > |
C GammaMAPFunctor< VALUETYPE > | This function tries to reduce the speckle noise of an image by applying the Gamma Maximum A Posteriori (MAP) filter
C Gaussian< T > |
C GeneralScorer< FUNCTOR > |
C GetClusterVariables |
C GiniCriterion |
C GiniScore | Functor that computes the gini score
C Global< TAG > | Modifier. Compute statistic globally rather than per region
C GlobalRangeHistogram< BinCount > | Like AutoRangeHistogram, but use global min/max rather than region min/max
C GrayToRGBAccessor< VALUETYPE > |
C GreenAccessor< RGBVALUE > |
C GridGraph< N, DirectedTag > | Define a grid graph in arbitrary dimensions
C GridGraph< N, undirected_tag > |
C HC_Entry |
C HClustering |
C HDF5DisableErrorOutput | Temporarily disable HDF5's native error output
C HDF5File | Access to HDF5 files
C HDF5Handle | Wrapper for unique hid_t objects
C HDF5HandleShared | Wrapper for shared hid_t objects
C HDF5ImportInfo | Argument object for the function readHDF5()
C HierarchicalIteratorType< N, T1, T2, T3, T4, T5 > |
C HistogramOptions | Set histogram options
►C ImageArray< ImageType, Alloc > | Fundamental class template for arrays of equal-sized images
C GaborFilterFamily< ImageType, Alloc > | Family of gabor filters of different scale and direction
C ImageExportInfo | Argument object for the function exportImage()
C ImageImportInfo | Argument object for the function importImage()
C ImageIteratorBase< IMAGEITERATOR, PIXELTYPE, REFERENCE, POINTER, StridedOrUnstrided > | Base class for 2D random access iterators
►C ImageIteratorBase< ConstImageIterator< PIXELTYPE >, PIXELTYPE, PIXELTYPE const &, PIXELTYPE const * > |
C ConstImageIterator< PIXELTYPE > | Standard 2D random access const iterator for images that store the data as a linear array
►C ImageIteratorBase< ConstStridedImageIterator< PIXELTYPE >, PIXELTYPE, PIXELTYPE const &, PIXELTYPE const *, StridedArrayTag > |
C ConstStridedImageIterator< PIXELTYPE > | Const iterator to be used when pixels are to be skipped
►C ImageIteratorBase< ImageIterator< PIXELTYPE >, PIXELTYPE, PIXELTYPE &, PIXELTYPE * > |
C ImageIterator< PIXELTYPE > | Standard 2D random access iterator for images that store the data in a linear array
►C ImageIteratorBase< StridedImageIterator< PIXELTYPE >, PIXELTYPE, PIXELTYPE &, PIXELTYPE *, StridedArrayTag > |
C StridedImageIterator< PIXELTYPE > | Iterator to be used when pixels are to be skipped
C ImagePyramid< ImageType, Alloc > | Class template for logarithmically tapering image pyramids
C ConvexHullFeatures::Impl< T, BASE > | Result type of the covex hull feature calculation
C GridGraph< N, DirectedTag >::InDegMap | Type of a property map that returns the number of incoming edges of a given node (API: LEMON, use via `lemon::InDegMap<Graph>`)
C GridGraph< N, DirectedTag >::IndexMap | Type of a property map that returns the coordinate of a given node (API: LEMON)
C IntegerHistogram< BinCount > | Histogram where data values are equal to bin indices
C IterablePartition< T > |
C IterablePartition< IdType > |
C IteratorAdaptor< Policy > | Quickly create 1-dimensional iterator adapters
C IteratorTraits< T > | Export associated information for each image iterator
C Kernel1D< ARITHTYPE > | Generic 1 dimensional convolution kernel
C Kernel2D< ARITHTYPE > | Generic 2 dimensional convolution kernel
C KolmogorovSmirnovScore | Functor that computes the Kolmogorov-Smirnov score
C KuanFunctor< VALUETYPE > | This function tries to reduce the speckle noise of an image by applying the Kuan filter
C Kurtosis | Basic statistic. Kurtosis
C Lab2RGBFunctor< T > | Convert perceptual uniform CIE L*a*b* into linear (raw) RGB
C Lab2RGBPrimeFunctor< T > | Convert perceptual uniform CIE L*a*b* into non-linear (gamma corrected) R'G'B'
C Lab2XYZFunctor< T > | Convert perceptual uniform CIE L*a*b* into standardized tri-stimulus XYZ
C Lab2XYZFunctor< component_type > |
C LabelArg< INDEX > | Specifies index of labels in CoupledHandle
►C LabelOptions | Option object for labelMultiArray()
C BlockwiseLabelOptions |
C LastValueFunctor< VALUETYPE > | Stores and returns the last value it has seen
C LeastAngleRegressionOptions | Pass options to leastAngleRegression()
C LeeFunctor< VALUETYPE > | This function tries to reduce the speckle noise of an image by applying the basic Lee filter
C LineIterator< IMAGE_ITERATOR > | Iterator adapter to iterate along an arbitrary line on the image
C LocalMinmaxOptions | Options object for localMinima() and localMaxima()
C Luv2RGBFunctor< T > | Convert perceptual uniform CIE L*u*v* into linear (raw) RGB
C Luv2RGBPrimeFunctor< T > | Convert perceptual uniform CIE L*u*v* into non-linear (gamma corrected) R'G'B'
C Luv2XYZFunctor< T > | Convert perceptual uniform CIE L*u*v* into standardized tri-stimulus XYZ
C Luv2XYZFunctor< component_type > |
C MagnitudeFunctor< ValueType > |
C Maximum | Basic statistic. Maximum value
C Median |
C MergeGraphAdaptor< GRAPH > | Undirected graph adaptor for edge contraction and feature merging
C MeshGridAccessor |
C Metric< T > | Functor to compute a metric between two vectors
C Metric< float > |
C Minimum | Basic statistic. Minimum value
C Moment< N > | Alias. Moment<N>
C MultiArrayNavigator< MULTI_ITERATOR, N > | A navigator that provides access to the 1D subranges of an n-dimensional range given by a vigra::MultiIterator and an nD shape
C MultiArrayShape< N > |
C MultiArrayShape< 2 > |
C MultiArrayShape< actual_dimension > |
C MultiArrayShape< dim > |
C MultiArrayShape< Dimensions > |
►C MultiArrayView< N, T, StrideTag > | Base class for, and view to, vigra::MultiArray
C MultiArray< 1, double > |
C MultiArray< 2, double > |
►C MultiArray< 2, double, std::allocator< double > > |
C Matrix< double > |
C MultiArray< 2, int > |
►C MultiArray< 2, int, std::allocator< int > > |
C Matrix< int > |
C MultiArray< 2, LabelInt > |
C MultiArray< 4, double > |
C MultiArray< DIM, int > |
C MultiArray< dimensions, unsigned int > |
►C MultiArray< N+1, Multiband< T > > |
C GridGraph< N, DirectedTag >::ArcMap< T > | Type of an arc property map that maps arc descriptor objects onto property values of type `T` (API: LEMON)
C GridGraph< N, DirectedTag >::EdgeMap< T > | Type of an edge property map that maps edge descriptor objects onto property values of type `T` (API: LEMON)
C MultiArray< N, Complex, FFTWAllocator< Complex > > |
C MultiArray< N, Handle > |
C MultiArray< N, std::size_t > |
C MultiArrayView< 1, int > |
C MultiArrayView< 1, T > |
C MultiArrayView< 1, T, StridedArrayTag > |
C MultiArrayView< 2, double > |
C MultiArrayView< 2, int > |
C MultiArrayView< 2, LabelInt > |
C MultiArrayView< 2, T, C1 > |
C MultiArrayView< 2, T, C2 > |
C MultiArrayView< 2, T1, C1 > |
C MultiArrayView< 2, T2, C2 > |
C MultiArrayView< 2, UInt8 > |
C MultiArrayView< 2, VALUETYPE, StridedOrUnstrided > |
C MultiArrayView< DIM, PixelTypeIn > |
C MultiArrayView< DIM, RealPromotePixelType > |
C MultiArrayView< DIM, RealPromoteScalarType > |
C MultiArrayView< IntrinsicGraphShape< Graph >::IntrinsicEdgeMapDimension, Value > |
C MultiArrayView< IntrinsicGraphShape< Graph >::IntrinsicNodeMapDimension, Value > |
►C MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride > |
C NumpyArray< N, T, Stride > |
C MultiArrayView< N, Real, UnstridedArrayTag > |
C MultiArrayView< N, T, S > |
C MultiArrayView< N, T, UnstridedArrayTag > |
C MultiArrayView< N, UnqualifiedType< U >::type > |
►C MultiArrayView< N, vigra::detail::ResolveMultiband< T >::type, vigra::detail::ResolveMultiband< T >::Stride > |
C MultiArray< 1, T > |
C MultiArray< 2, T > |
►C MultiArray< 2, T, ALLOC > |
C Matrix< T, ALLOC > |
►C MultiArray< 2, T, std::allocator< T > > |
C Matrix< T > |
►C MultiArray< N, T > |
C GridGraph< N, DirectedTag >::NodeMap< T > | Type of a node property map that maps node descriptor objects onto property values of type `T` (API: LEMON)
►C MultiArray< N, T, Alloc > |
C ChunkedArrayFull< N, T, Alloc > |
C MultiArray< N, T, A > | Main `MultiArray` class containing the memory management
C MultiBlocking< DIM, C > |
C MultiCoordinateNavigator< Dimensions, N > | A navigator that provides access to the 1D subranges of an n-dimensional range given by an nD shape
C MultiImageAccessor2< Iter1, Acc1, Iter2, Acc2 > | Access two images simultaneously
C MultiIterator< N, T, REFERENCE, POINTER > | A multi-dimensional hierarchical iterator to be used with vigra::MultiArrayView if it is not strided
C NeighborCode | Encapsulation of direction management for 4-neighborhood
►C NeighborCode | Encapsulation of direction management for the 8-neighborhood
C NeighborOffsetCirculator< EightNeighborCode > |
C NeighborCode3D | Encapsulation of direction management of neighbors for a 3D 6-neighborhood
C NeighborCode3D | Encapsulation of direction management of neighbors for a 3D 26-neighborhood
►C NeighborhoodCirculator< IMAGEITERATOR, NEIGHBORCODE > | Circulator that walks around a given location in a given image
C RestrictedNeighborhoodCirculator< IMAGEITERATOR, NEIGHBORCODE > | Circulator that walks around a given location in a given image, using a restricted neighborhood
C NeighborhoodCirculator< IMAGEITERATOR, EightNeighborCode > |
C NeighborOffsetCirculator< NEIGHBORCODE > | Circulator that walks around a given location
►C NodeBase |
C Node< e_ConstProbNode > |
C NodeComplexityStop | Random forest 'node complexity' stop criterion
C AdjacencyListGraph::NodeMap< T > | Default node map
C NoiseNormalizationOptions | Pass options to one of the noise normalization functions
C NonlinearLSQOptions | Pass options to nonlinearLeastSquares()
C NormalizeStatus |
C NormalRandomFunctor< Engine > |
C NumInstancesStop | Random forest 'number of datapoints' stop criterion
►C NumpyAnyArray |
C NumpyArray< N, T, Stride > |
C GridGraph< N, DirectedTag >::OutDegMap | Type of a property map that returns the number of outgoing edges of a given node (API: LEMON, use via `lemon::OutDegMap<Graph>`)
►C ParallelOptions | Option base class for parallel algorithms
►C BlockwiseOptions |
C BlockwiseConvolutionOptions< N > |
C BlockwiseLabelOptions |
C PermuteCluster< Iter, DT > |
C PLSAOptions | Option object for the pLSA algorithm
►C PolynomialView< T > |
C Polynomial< T > |
C StaticPolynomial< MAXORDER, T > |
►C Polytope< N, T > | Represent an n-dimensional polytope
►C StarPolytope< N, T > | Specialization of the polytope to polytopes which forms a star domain
C ConvexPolytope< N, T > |
►C Polytope< N, double > |
►C StarPolytope< N, double > |
C ConvexPolytope< dimensions, double > |
C PowerSum< N > | Basic statistic. PowerSum<N> =
C Principal< TAG > | Modifier. Project onto PCA eigenvectors
C Principal< CoordinateSystem > | Specialization (covariance eigenvectors): works in pass 1, operator+=() supported (merging)
C Principal< PowerSum< 2 > > | Specialization (covariance eigenvalues): works in pass 1, operator+=() supported (merging)
C PriorityQueue< ValueType, PriorityType, Ascending > | Heap-based priority queue compatible to BucketQueue
C ProblemSpec< LabelType > | Problem specification class for the random forest
C Processor< Tag, LabelType, T1, C1, T2, C2 > |
C Processor< ClassificationTag, LabelType, T1, C1, T2, C2 > |
C Processor< RegressionTag, LabelType, T1, C1, T2, C2 > |
C PropertyMap< KEYTYPE, MAPPEDTYPE, ContainerTag > | The PropertyMap is used to store Node or Arc information of graphs
C PropertyMap< KEYTYPE, MAPPEDTYPE, IndexVectorTag > | Specialization of PropertyMap that stores the elements in a vector (size = number of stored elements). An additional index vector is needed for bookkeeping (size = max node id of stored elements)
C PropertyMap< KEYTYPE, MAPPEDTYPE, VectorTag > | Specialization of PropertyMap that stores the elements in a vector (size = max node id of stored elements)
C PurityStop | Random forest 'node purity' stop criterion
C Quaternion< ValueType > |
C RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | Random forest version 3
C RandomForest< LabelType, PreprocessorTag > | Random forest version 2 (see also vigra::rf3::RandomForest for version 3)
C RandomForestClassCounter< DataSource, CountArray > |
C RandomForestOptions | Options class for vigra::rf3::RandomForest version 3
C RandomForestOptions | Options object for the random forest
C RandomNumberGenerator< Engine > |
C RandomSplitOfColumn |
C Range | Return both the minimum and maximum in `std::pair`
C Rational< IntType > |
C Rect2D | Two dimensional rectangle
C RedAccessor< RGBVALUE > |
C ReduceFunctor< FUNCTOR, VALUETYPE > | Apply a functor to reduce the dimensionality of an array
C RegionCircularity | Compute the circularity of a 2D region
C RegionContour | Compute the contour of a 2D region
C RegionEccentricity | Compute the eccentricity of a 2D region in terms of its prinipal radii
C RegionPerimeter | Compute the perimeter of a 2D region
C RFErrorCallback |
►C RFVisitorBase | Base class from which all random forest visitors derive
C OOBError | Compute the out of bag error
C RFStopVisiting | The default visitor node (= "do nothing")
C VariableImportance | Compute the variable importance
C RFVisitorNode< VISITOR, NEXT, CPY > | Container elements of the statically linked visitor list. Use the create_visitor() functions to create visitors up to size 10
C RGB2LabFunctor< T > | Convert linear (raw) RGB into perceptual uniform CIE L*a*b*
C RGB2LuvFunctor< T > | Convert linear (raw) RGB into perceptual uniform CIE L*u*v*
C RGB2RGBPrimeFunctor< From, To > | Convert linear (raw) RGB into non-linear (gamma corrected) R'G'B'
C RGB2sRGBFunctor< From, To > | Convert linear (raw) RGB into standardized sRGB
C RGB2XYZFunctor< T > | Convert linear (raw) RGB into standardized tri-stimulus XYZ
C RGBGradientMagnitudeFunctor< ValueType > |
C RGBPrime2LabFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into perceptual uniform CIE L*a*b*
C RGBPrime2LuvFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into perceptual uniform CIE L*u*v*
C RGBPrime2RGBFunctor< From, To > | Convert non-linear (gamma corrected) R'G'B' into non-linear (raw) RGB
C RGBPrime2XYZFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into standardized tri-stimulus XYZ
C RGBPrime2YPrimeCbCrFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into Y'CbCr color difference components
C RGBPrime2YPrimeIQFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into Y'IQ components
C RGBPrime2YPrimePbPrFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into Y'PbPr color difference components
C RGBPrime2YPrimeUVFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into Y'UV components
C RGBToGrayAccessor< RGBVALUE > |
C RootDivideByCount< TAG > | Modifier. RootDivideByCount<TAG> = sqrt( TAG/Count )
C RootDivideUnbiased< TAG > | Modifier. RootDivideUnbiased<TAG> = sqrt( TAG / (Count-1) )
C RowIterator< IMAGE_ITERATOR > | Iterator adapter to linearly access row
C Sampler< Random > | Create random samples from a sequence of indices
C SamplerOptions | Options object for the Sampler class
C ScatterMatrixEigensystem |
C SeedOptions | Options object for generateWatershedSeeds()
C SeedRgDirectValueFunctor< Value > | Statistics functor to be used for seeded region growing
C Select< T01, T02, T03, T04, T05, T06, T07, T08, T09, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20 > | Wrapper for MakeTypeList that additionally performs tag standardization
C ShortestPathDijkstra< GRAPH, WEIGHT_TYPE > | Shortest path computer
C SIFImportInfo | Extracts image properties from an Andor SIF file header
C SkeletonOptions | Option object for skeletonizeImage()
C Skewness | Basic statistic. Skewness
C SlantedEdgeMTFOptions | Pass options to one of the slantedEdgeMTF() functions
C SlicOptions | Options object for slicSuperpixels()
C SortSamplesByDimensions< DataMatrix > |
C Splice< T > |
C SplineImageView< ORDER, VALUETYPE > | Create a continuous view onto a discrete image using splines
C SplineImageView0< VALUETYPE, INTERNAL_TRAVERSER > | Create an image view for nearest-neighbor interpolation
C SplineImageView0< VALUETYPE > |
C SplineImageView1< VALUETYPE, INTERNAL_TRAVERSER > | Create an image view for bi-linear interpolation
C SplineImageView1< VALUETYPE > |
►C SplitBase< Tag > |
C ThresholdSplit< ColumnDecisionFunctor, Tag > |
C sRGB2RGBFunctor< From, To > | Convert standardized sRGB into non-linear (raw) RGB
C StandardAccessor< VALUETYPE > | Encapsulate access to the values an iterator points to
►C StandardAccessor< RGBVALUE > |
►C SequenceAccessor< RGBVALUE > |
►C VectorAccessor< RGBVALUE > |
C RGBAccessor< RGBVALUE > |
►C StandardAccessor< SEQUENCE > |
C SequenceAccessor< SEQUENCE > | Accessor for items that are STL compatible sequences
►C StandardAccessor< VECTOR > |
►C SequenceAccessor< VECTOR > |
C VectorAccessor< VECTOR > | Accessor for items that are STL compatible vectors
C StandardConstAccessor< VALUETYPE > | Encapsulate read access to the values an iterator points to
C StandardConstValueAccessor< VALUETYPE > | Encapsulate access to the values an iterator points to
C StandardQuantiles< HistogramAccumulator > | Compute (0%, 10%, 25%, 50%, 75%, 90%, 100%) quantiles from given histogram
C StandardValueAccessor< VALUETYPE > | Encapsulate access to the values an iterator points to
►C StopBase |
C StopAfterTree |
C StopAfterVoteCount |
C StopIfBinTest |
C StopIfConverging |
C StopIfMargin |
C StopIfProb |
C StridedArrayTag |
C StridedMultiIterator< N, T, REFERENCE, POINTER > | A multi-dimensional hierarchical iterator to be used with vigra::MultiArrayView if it is not strided
C ThinPlateSplineFunctor |
C ThreadPool | Thread pool class to manage a set of parallel workers
C Threshold< SrcValueType, DestValueType > | Threshold an image
C TinyVectorBase< VALUETYPE, SIZE, DATA, DERIVED > | Base class for fixed size vectors
►C TinyVectorBase< double, SIZE, double[SIZE], TinyVector< double, SIZE > > |
C TinyVector< double, 2 > |
C TinyVector< double, 7 > |
C TinyVector< double, BinCount > |
C TinyVector< double, coordSize > |
C TinyVector< double, dimensions > |
C TinyVector< double, N > |
►C TinyVectorBase< float, SIZE, float[SIZE], TinyVector< float, SIZE > > |
C TinyVector< float, 3 > |
►C TinyVectorBase< INDEX_TYPE, SIZE, INDEX_TYPE[SIZE], TinyVector< INDEX_TYPE, SIZE > > |
C TinyVector< INDEX_TYPE, 3 > |
►C TinyVectorBase< int, SIZE, int[SIZE], TinyVector< int, SIZE > > |
C TinyVector< int, 2 > |
►C TinyVectorBase< PointValue, SIZE, PointValue[SIZE], TinyVector< PointValue, SIZE > > |
C TinyVector< PointValue, DIMENSION > |
►C TinyVectorBase< T, SIZE, T *, TinyVectorView< T, SIZE > > |
C TinyVectorView< T, SIZE > | Wrapper for fixed size vectors
►C TinyVectorBase< T, SIZE, T[SIZE], TinyVector< T, SIZE > > |
C TinyVector< T, N > |
C TinyVector< T, SIZE > | Class for fixed size vectors
►C TinyVectorBase< unsigned int, SIZE, unsigned int[SIZE], TinyVector< unsigned int, SIZE > > |
C TinyVector< unsigned int, 1 > |
C TinyVector< unsigned int, N > |
►C TinyVectorBase< ValueType, SIZE, ValueType[SIZE], TinyVector< ValueType, SIZE > > |
C TinyVector< ValueType, 3 > |
►C TinyVectorBase< VALUETYPE, SIZE, VALUETYPE[SIZE], TinyVector< VALUETYPE, SIZE > > |
►C TinyVector< VALUETYPE, 3 > |
C RGBValue< VALUETYPE, RED_IDX, GREEN_IDX, BLUE_IDX > | Class for a single RGB value
C TinyVector< VALUETYPE, DIMENSION > |
C GridGraph< N, DirectedTag >::traversal_category | Define several graph tags related to graph traversal (API: boost::graph, use via `boost::graph_traits<Graph>::traversal_category`)
C UnbiasedKurtosis | Basic statistic. Unbiased Kurtosis
C UnbiasedSkewness | Basic statistic. Unbiased Skewness
C UniformIntRandomFunctor< Engine > |
C UniformRandomFunctor< Engine > |
C UnstridedArrayTag |
C UserRangeHistogram< BinCount > | Histogram where user provides bounds for linear range mapping from values to indices
C VariableSelectionResult |
C VectorComponentAccessor< VECTORTYPE > | Accessor for one component of a vector
C VectorComponentValueAccessor< VECTORTYPE > | Accessor for one component of a vector
C VectorElementAccessor< ACCESSOR > | Accessor for one component of a vector
C VectorNormFunctor< ValueType > | A functor for computing the vector norm
C VectorNormSqFunctor< ValueType > | A functor for computing the squared vector norm
►C VisitorBase |
C ClusterImportanceVisitor |
C CompleteOOBInfo |
C CorrelationVisitor |
C OnlineLearnVisitor |
C OOB_Error |
C OOB_PerTreeError |
C RandomForestProgressVisitor |
C StopVisiting |
C VariableImportanceVisitor |
C VisitorCopy< VISITOR > |
C VisitorNode< Visitor, Next > |
C VolumeExportInfo | Argument object for the function exportVolume()
C VolumeImportInfo | Argument object for the function importVolume()
C WatershedOptions | Options object for watershed algorithms
C WeightArg< INDEX > | Specifies index of data in CoupledHandle
C Weighted< TAG > | Compute weighted version of the statistic
C WignerMatrix< Real > | Computation of Wigner D matrix + rotation functions in SH,VH and R³
C XYZ2LabFunctor< T > | Convert standardized tri-stimulus XYZ into perceptual uniform CIE L*a*b*
C XYZ2LabFunctor< component_type > |
C XYZ2LuvFunctor< T > | Convert standardized tri-stimulus XYZ into perceptual uniform CIE L*u*v*
C XYZ2LuvFunctor< component_type > |
C XYZ2RGBFunctor< T > | Convert standardized tri-stimulus XYZ into linear (raw) RGB
C XYZ2RGBPrimeFunctor< T > | Convert standardized tri-stimulus XYZ into non-linear (gamma corrected) R'G'B'
C YPrimeCbCr2RGBPrimeFunctor< T > | Convert Y'CbCr color difference components into non-linear (gamma corrected) R'G'B'
C YPrimeIQ2RGBPrimeFunctor< T > | Convert Y'IQ color components into non-linear (gamma corrected) R'G'B'
C YPrimePbPr2RGBPrimeFunctor< T > | Convert Y'PbPr color difference components into non-linear (gamma corrected) R'G'B'
C YPrimeUV2RGBPrimeFunctor< T > | Convert Y'UV color components into non-linear (gamma corrected) R'G'B'

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany | html generated using doxygen and Python vigra 1.11.1