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Class Hierarchy |

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

AbsPowerSum< N > | Basic statistic. AbsPowerSum<N> =
AccumulatorChain< T, Selected, dynamic > | Create an accumulator chain containing the selected statistics and their dependencies
AccumulatorChain< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected, dynamic > |
AccumulatorChain< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected, true > |
DynamicAccumulatorChain< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected > |
AccumulatorChain< CoupledHandleType< N >::type, SELECT > |
StandAloneDataFreeAccumulatorChain< N, SELECT > | Create an accumulator chain that works independently of a MultiArray
AccumulatorChain< CoupledHandleType< N, T >::type, SELECT > |
StandAloneAccumulatorChain< N, T, SELECT > | Create an accumulator chain that works independently of a MultiArray
AccumulatorChain< T, Selected, true > |
DynamicAccumulatorChain< T, Selected > | Create a dynamic accumulator chain containing the selected statistics and their dependencies
AccumulatorChainArray< T, Selected, dynamic > | Create an array of accumulator chains containing the selected per-region and global statistics and their dependencies
AccumulatorChainArray< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected, dynamic > |
AccumulatorChainArray< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected, true > |
DynamicAccumulatorChainArray< CoupledArrays< N, T1, T2, T3, T4, T5 >::HandleType, Selected > |
AccumulatorChainArray< T, Selected, true > |
DynamicAccumulatorChainArray< T, Selected > | Create an array of dynamic accumulator chains containing the selected per-region and global statistics and their dependencies
AdjacencyListGraph | Undirected adjacency list graph in the LEMON API
AffineMotionEstimationOptions< SPLINEORDER > | Option object for affine registration functions
Any | Typesafe storage of arbitrary values
AdjacencyListGraph::ArcMap< T > | Default arc map
ArgMaxWeight | Basic statistic. Data where weight assumes its maximal value
ArgMinWeight | Basic statistic. Data value where weight assumes its minimal value
ArrayOfRegionStatistics< RegionStatistics, LabelType > | Calculate statistics for all regions of a labeled image
ArrayVectorView< T > |
ArrayVector< T > |
ArrayVector< T, Alloc > |
ArrayVectorView< arc_descriptor > |
ArrayVector< arc_descriptor > |
ArrayVectorView< ARITHTYPE > |
ArrayVector< ARITHTYPE > |
ArrayVectorView< ArrayVector< bool > > |
ArrayVector< ArrayVector< bool > > |
ArrayVectorView< ArrayVector< edge_descriptor > > |
ArrayVector< ArrayVector< edge_descriptor > > |
ArrayVectorView< ArrayVector< MultiArrayIndex > > |
ArrayVector< ArrayVector< MultiArrayIndex > > |
ArrayVectorView< AxisInfo > |
ArrayVector< AxisInfo > |
ArrayVectorView< BinType > |
ArrayVector< BinType > |
ArrayVectorView< bool > |
ArrayVector< bool > |
ArrayVectorView< char > |
ArrayVector< char > |
ArrayVectorView< ClassLabelType > |
ArrayVector< ClassLabelType > |
ArrayVectorView< DecisionTree_t > |
ArrayVector< DecisionTree_t > |
ArrayVectorView< detail::DecisionTreeDeprec > |
ArrayVector< detail::DecisionTreeDeprec > |
ArrayVectorView< double > |
ArrayVector< double > |
ArrayVectorView< hsize_t > |
ArrayVector< hsize_t > |
ArrayVectorView< ImageType > |
ArrayVector< ImageType, Alloc > |
ArrayVectorView< index_type > |
ArrayVector< index_type > |
ArrayVectorView< IndexType > |
ArrayVector< IndexType > |
ArrayVectorView< int > |
ArrayVector< int > |
ArrayVectorView< INT > |
ArrayVector< INT > |
ArrayVectorView< Int32 > |
ArrayVector< Int32 > |
ArrayVectorView< Label > |
ArrayVector< Label > |
ArrayVectorView< Label_t > |
ArrayVector< Label_t > |
ArrayVectorView< Matrix< Complex > > |
ArrayVector< Matrix< Complex > > |
ArrayVectorView< MultiArrayIndex > |
ArrayVector< MultiArrayIndex > |
ArrayVectorView< NeighborOffsetArray > |
ArrayVector< NeighborOffsetArray > |
ArrayVectorView< Node > |
ArrayVector< Node > |
ArrayVectorView< npy_intp > |
ArrayVector< npy_intp > |
ArrayVectorView< Permutation< 1 > > |
ArrayVector< Permutation< 1 > > |
ArrayVectorView< Permutation< N > > |
ArrayVector< Permutation< N > > |
ArrayVectorView< POINT > |
ArrayVector< POINT > |
Polygon< POINT > |
ArrayVectorView< point_type > |
ArrayVector< point_type > |
Polygon< point_type > |
ArrayVectorView< RegionAccumulatorChain > |
ArrayVector< RegionAccumulatorChain > |
ArrayVectorView< Segment > |
ArrayVector< Segment > |
ArrayVectorView< shape_type > |
ArrayVector< shape_type > |
ArrayVectorView< SharedChunkHandle< N, T > * > |
ArrayVector< SharedChunkHandle< N, T > * > |
ArrayVectorView< size_t > |
ArrayVector< size_t > |
ArrayVectorView< std::pair< Int32, double > > |
ArrayVector< std::pair< Int32, double > > |
ArrayVectorView< std::ptrdiff_t > |
ArrayVector< std::ptrdiff_t > |
ArrayVectorView< std::queue< ValueType > > |
ArrayVector< std::queue< ValueType > > |
ArrayVectorView< unsigned char > |
ArrayVector< unsigned char > |
ArrayVectorView< vigra::ArrayVector< index_type > > |
ArrayVector< vigra::ArrayVector< index_type > > |
ArrayVectorView< vigra::ArrayVector< typename out_edge_iterator::vigra::TinyVector > > |
ArrayVector< vigra::ArrayVector< typename out_edge_iterator::vigra::TinyVector > > |
ArrayVectorView< vigra::TinyVector > |
ArrayVector< vigra::TinyVector > |
AutoRangeHistogram< BinCount > | Histogram where range mapping bounds are defined by minimum and maximum of data
BasicImage< PIXELTYPE, Alloc > | Fundamental class template for images
BasicImage< double > |
BasicImage< float > |
BasicImage< InternalValue > |
BasicImage< TinyVector< double, 2 > > |
BasicImage< value_type > |
BasicImage< VALUETYPE > |
BasicImageIteratorBase< IMAGEITERATOR, PIXELTYPE, REFERENCE, POINTER, LINESTARTITERATOR > |
BasicImageIteratorBase< BasicImageIterator< PIXELTYPE, ITERATOR >, PIXELTYPE, PIXELTYPE &, PIXELTYPE *, ITERATOR > |
BasicImageIterator< PIXELTYPE, ITERATOR > |
BasicImageIteratorBase< ConstBasicImageIterator< PIXELTYPE, ITERATOR >, PIXELTYPE, PIXELTYPE const &, PIXELTYPE const *, ITERATOR > |
ConstBasicImageIterator< PIXELTYPE, ITERATOR > |
BasicImageView< PIXELTYPE > | BasicImage using foreign memory
BestGiniOfColumn< LineSearchLossTag > |
BestGiniOfColumn< vigra::GiniCriterion > |
BilinearInterpolatingAccessor< ACCESSOR, VALUETYPE > | Bilinear interpolation at non-integer positions
BinaryForest | BinaryForest stores a collection of rooted binary trees
BlueAccessor< RGBVALUE > |
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()
Box< PointValue, DIM > |
BrightnessContrastFunctor< PixelType > | Adjust brightness and contrast of an image
BrightnessContrastFunctor< ComponentType > |
BrightnessContrastFunctor< unsigned char > |
BSplineBase< ORDER, T > |
BSpline< ORDER, T > |
BSplineBase< ORDER, double > |
BSpline< ORDER, double > |
BucketQueue< ValueType, Ascending > | Priority queue implemented using bucket sort
MappedBucketQueue< ValueType, PriorityFunctor, Ascending > | Priority queue implemented using bucket sort (STL compatible)
CatmullRomSpline< T > |
Central< A > | Modifier. Substract mean before computing statistic
Central< PowerSum< 2 > > | Spezialization: works in pass 1, operator+=() supported (merging supported)
Central< PowerSum< 3 > > | Specialization: works in pass 2, operator+=() supported (merging supported)
Central< PowerSum< 4 > > | Specialization: works in pass 2, operator+=() supported (merging supported)
CentralMoment< N > | Alias. CentralMoment<N>
ChangeablePriorityQueue< T, COMPARE > | Heap-based changable priority queue with a maximum number of elemements
ChangeablePriorityQueue< ValueType > |
ChangeablePriorityQueue< WeightType > |
ChunkedArray< N, T > | Interface and base class for chunked arrays
ChunkedArrayCompressed< N, T, Alloc > |
ChunkedArrayFull< N, T, Alloc > |
ChunkedArrayHDF5< N, T, Alloc > |
ChunkedArrayLazy< N, T, Alloc > |
ChunkedArrayTmpFile< N, T > |
ChunkedArrayOptions | Option object for ChunkedArray construction
ChunkedArrayTag |
cl_charNAccessor_COMP |
cl_TYPE3WriteAccessor_s1 |
cl_TYPE3WriteAccessor_s2 |
ClusteringOptions | Options object for hierarchical clustering
ColumnIterator< IMAGE_ITERATOR > | Iterator adapter to linearly access columns
ConstValueIterator< PIXELTYPE > | Iterator that always returns the constant specified in the constructor
ConvexHull | Compute the convex hull of a region
ConvexHullFeatures | Compute object features related to the convex hull
ConvolutionOptions< dim > | Options class template for convolutions
ConvolutionOptions< DIM > |
ConvolutionOptions< N > |
BlockwiseConvolutionOptions< N > |
Coord< A > | Modifier. Compute statistic from pixel coordinates rather than from pixel values
CoordinateConstValueAccessor< Accessor, COORD > | Forward accessor to the value() part of the values an iterator points to
CoordinateSystem | Basic statistic. Identity matrix of appropriate size
CorrectStatus |
CoscotFunction< T > |
CountingIterator< T > | Iterator that counts upwards or downwards with a given step size
CoupledHandle< T, NEXT > |
CoupledIteratorType< N, T1, T2, T3, T4, T5 > |
CoupledArrays< N, T1, T2, T3, T4, T5 > |
CoupledScanOrderIterator< N, HANDLES, DIMENSION > | Iterate over multiple images simultaneously in scan order
StridedScanOrderIterator< N, V, REFERENCE, POINTER > | Sequential iterator for MultiArrayView
CoupledScanOrderIterator< N > |
MultiCoordinateIterator< N > | Iterate over a virtual array where each element contains its coordinate
CrackContourCirculator< IMAGEITERATOR > | Circulator that walks around a given region
DataArg< INDEX > | Specifies index of data in CoupledHandle
DepthStop | Random forest 'maximum depth' stop criterion
Diff2D | Two dimensional difference vector
Point2D | Two dimensional point or position
Size2D | Two dimensional size object
DiffusivityFunctor< Value > | Diffusivity functor for non-linear diffusion
Dist2D |
DistancePowerFunctor< N > |
DivideByCount< A > | Modifier. Divide statistic by Count: DivideByCount<TAG> = TAG / Count
DivideUnbiased< A > | Modifier. Divide statistics by Count-1: DivideUnbiased<TAG> = TAG / (Count-1)
Draw< T1, T2, C1, C2 > |
DT_StackEntry< Iter > |
DualVector< T, N > |
EarlyStoppStd | Standard early stopping criterion
Edgel |
AdjacencyListGraph::EdgeMap< T > | Default edge map
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
EnhancedFrostFunctor< VALUETYPE > | This function tries to reduce the speckle noise of an image by applying the Enhanced Frost filter
EnhancedLeeFunctor< VALUETYPE > | This function tries to reduce the speckle noise of an image by applying the Enhanced Lee filter
EntropyCriterion |
EntropyScore | Functor that computes the entropy score
FFTWComplex< Real > | Wrapper class for the FFTW complex types '`fftw_complex`'
FFTWConvolvePlan< N, Real > |
FFTWCorrelatePlan< N, Real > |
FFTWImaginaryAccessor< Real > |
FFTWLogMagnitudeAccessor< Real > |
FFTWMagnitudeAccessor< Real > |
FFTWPhaseAccessor< Real > |
FFTWPlan< N, Real > |
FFTWRealAccessor< Real > |
FFTWWriteRealAccessor< Real > |
FFTWSquaredMagnitudeAccessor< Real > |
FilterIterator< PREDICATE, ITER > | This iterator creates a view of another iterator and skips elements that do not fulfill a given predicate
FindAverage< VALUETYPE > | Find the average pixel value in an image or ROI
FindAverageAndVariance< VALUETYPE > | Find the average pixel value and its variance in an image or ROI
FindBoundingRectangle | Calculate the bounding rectangle of an ROI in an image
FindMinMax< VALUETYPE > | Find the minimum and maximum pixel value in an image or ROI
FindROISize< VALUETYPE > | Calculate the size of an ROI in an image
FindSum< VALUETYPE > | Find the sum of the pixel values in an image or ROI
FirstSeen | Basic statistic. First data value seen of the object
FixedPoint< IntBits, FractionalBits > |
FixedPoint16< IntBits, OverflowHandling > |
FlatScatterMatrix | Basic statistic. Flattened uppter-triangular part of scatter matrix
FunctorTraits< T > | Export associated information for a functor
GammaFunctor< PixelType > | Perform gamma correction of an image
GammaFunctor< ComponentType > |
GammaFunctor< unsigned char > |
GammaMAPFunctor< VALUETYPE > | This function tries to reduce the speckle noise of an image by applying the Gamma Maximum A Posteriori (MAP) filter
Gaussian< T > |
GeneralScorer< FUNCTOR > |
GetClusterVariables |
GiniCriterion |
GiniScore | Functor that computes the gini score
Global< A > | Modifier. Compute statistic globally rather than per region
GlobalRangeHistogram< BinCount > | Like AutoRangeHistogram, but use global min/max rather than region min/max
GrayToRGBAccessor< VALUETYPE > |
GreenAccessor< RGBVALUE > |
GridGraph< N, DirectedTag > | Define a grid graph in arbitrary dimensions
GridGraph< N, undirected_tag > |
HC_Entry |
HClustering |
HDF5DisableErrorOutput | Temporarily disable HDF5's native error output
HDF5File | Access to HDF5 files
HDF5Handle | Wrapper for unique hid_t objects
HDF5HandleShared | Wrapper for shared hid_t objects
HDF5ImportInfo | Argument object for the function readHDF5()
HierarchicalIteratorType< N, T1, T2, T3, T4, T5 > |
HistogramOptions | Set histogram options
ImageArray< ImageType, Alloc > | Fundamental class template for arrays of equal-sized images
GaborFilterFamily< ImageType, Alloc > | Family of gabor filters of different scale and direction
ImageExportInfo | Argument object for the function exportImage()
ImageImportInfo | Argument object for the function importImage()
ImageIteratorBase< IMAGEITERATOR, PIXELTYPE, REFERENCE, POINTER, StridedOrUnstrided > | Base class for 2D random access iterators
ImageIteratorBase< ConstImageIterator< PIXELTYPE >, PIXELTYPE, PIXELTYPE const &, PIXELTYPE const * > |
ConstImageIterator< PIXELTYPE > | Standard 2D random access const iterator for images that store the data as a linear array
ImageIteratorBase< ConstStridedImageIterator< PIXELTYPE >, PIXELTYPE, PIXELTYPE const &, PIXELTYPE const *, StridedArrayTag > |
ConstStridedImageIterator< PIXELTYPE > | Const iterator to be used when pixels are to be skipped
ImageIteratorBase< ImageIterator< PIXELTYPE >, PIXELTYPE, PIXELTYPE &, PIXELTYPE * > |
ImageIterator< PIXELTYPE > | Standard 2D random access iterator for images that store the data in a linear array
ImageIteratorBase< StridedImageIterator< PIXELTYPE >, PIXELTYPE, PIXELTYPE &, PIXELTYPE *, StridedArrayTag > |
StridedImageIterator< PIXELTYPE > | Iterator to be used when pixels are to be skipped
ImagePyramid< ImageType, Alloc > | Class template for logarithmically tapering image pyramids
ConvexHullFeatures::Impl< T, BASE > | Result type of the covex hull feature calculation
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>`)
GridGraph< N, DirectedTag >::IndexMap | Type of a property map that returns the coordinate of a given node (API: LEMON)
IntegerHistogram< BinCount > | Histogram where data values are equal to bin indices
IterablePartition< T > |
IterablePartition< IdType > |
IteratorAdaptor< Policy > | Quickly create 1-dimensional iterator adapters
IteratorTraits< T > | Export associated information for each image iterator
Kernel1D< ARITHTYPE > | Generic 1 dimensional convolution kernel
Kernel2D< ARITHTYPE > | Generic 2 dimensional convolution kernel
KolmogorovSmirnovScore | Functor that computes the Kolmogorov-Smirnov score
KuanFunctor< VALUETYPE > | This function tries to reduce the speckle noise of an image by applying the Kuan filter
Kurtosis | Basic statistic. Kurtosis
Lab2RGBFunctor< T > | Convert perceptual uniform CIE L*a*b* into linear (raw) RGB
Lab2RGBPrimeFunctor< T > | Convert perceptual uniform CIE L*a*b* into non-linear (gamma corrected) R'G'B'
Lab2XYZFunctor< T > | Convert perceptual uniform CIE L*a*b* into standardized tri-stimulus XYZ
Lab2XYZFunctor< component_type > |
LabelArg< INDEX > | Specifies index of labels in CoupledHandle
LabelOptions | Option object for labelMultiArray()
BlockwiseLabelOptions |
LastValueFunctor< VALUETYPE > | Stores and returns the last value it has seen
LeastAngleRegressionOptions | Pass options to leastAngleRegression()
LeeFunctor< VALUETYPE > | This function tries to reduce the speckle noise of an image by applying the basic Lee filter
LineIterator< IMAGE_ITERATOR > | Iterator adapter to iterate along an arbitrary line on the image
LocalMinmaxOptions | Options object for localMinima() and localMaxima()
Luv2RGBFunctor< T > | Convert perceptual uniform CIE L*u*v* into linear (raw) RGB
Luv2RGBPrimeFunctor< T > | Convert perceptual uniform CIE L*u*v* into non-linear (gamma corrected) R'G'B'
Luv2XYZFunctor< T > | Convert perceptual uniform CIE L*u*v* into standardized tri-stimulus XYZ
Luv2XYZFunctor< component_type > |
MagnitudeFunctor< ValueType > |
Maximum | Basic statistic. Maximum value
Median |
MergeGraphAdaptor< GRAPH > | Undirected graph adaptor for edge contraction and feature merging
MeshGridAccessor |
Metric< T > | Functor to compute a metric between two vectors
Metric< float > |
Minimum | Basic statistic. Minimum value
Moment< N > | Alias. Moment<N>
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
MultiArrayShape< N > |
MultiArrayShape< 2 > |
MultiArrayShape< actual_dimension > |
MultiArrayShape< dim > |
MultiArrayShape< Dimensions > |
MultiArrayView< N, T, StrideTag > | Base class for, and view to, vigra::MultiArray
MultiArray< 1, double > |
MultiArray< 2, double > |
MultiArray< 2, int > |
MultiArray< 2, LabelInt > |
MultiArray< 4, double > |
MultiArray< DIM, int > |
MultiArray< dimensions, unsigned int > |
MultiArray< N+1, Multiband< T > > |
GridGraph< N, DirectedTag >::ArcMap< T > | Type of an arc property map that maps arc descriptor objects onto property values of type `T` (API: LEMON)
GridGraph< N, DirectedTag >::EdgeMap< T > | Type of an edge property map that maps edge descriptor objects onto property values of type `T` (API: LEMON)
MultiArray< N, Chunk > |
MultiArray< N, Complex, FFTWAllocator< Complex > > |
MultiArray< N, Handle > |
MultiArray< N, std::size_t > |
MultiArrayView< 1, int > |
MultiArrayView< 1, T > |
MultiArrayView< 1, T, StridedArrayTag > |
MultiArrayView< 2, double > |
MultiArrayView< 2, int > |
MultiArrayView< 2, LabelInt > |
MultiArrayView< 2, T, C1 > |
MultiArrayView< 2, T, C2 > |
MultiArrayView< 2, T1, C1 > |
MultiArrayView< 2, T2, C2 > |
MultiArrayView< 2, UInt8 > |
MultiArrayView< 2, VALUETYPE, StridedOrUnstrided > |
MultiArrayView< DIM, PixelTypeIn > |
MultiArrayView< DIM, RealPromotePixelType > |
MultiArrayView< DIM, RealPromoteScalarType > |
MultiArrayView< IntrinsicGraphShape< Graph >::IntrinsicEdgeMapDimension, Value > |
MultiArrayView< IntrinsicGraphShape< Graph >::IntrinsicNodeMapDimension, Value > |
MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride > |
NumpyArray< N, T, Stride > |
MultiArrayView< N, Real, UnstridedArrayTag > |
MultiArrayView< N, T, S > |
MultiArrayView< N, T, UnstridedArrayTag > |
MultiArrayView< N, UnqualifiedType< U >::type > |
MultiArrayView< N, vigra::detail::ResolveMultiband< T >::type, vigra::detail::ResolveMultiband< T >::Stride > |
MultiArray< 1, T > |
MultiArray< 2, T > |
MultiArray< 2, T, ALLOC > |
Matrix< T, ALLOC > |
MultiArray< 2, T, std::allocator< T > > |
Matrix< T > |
MultiArray< N, T > |
GridGraph< N, DirectedTag >::NodeMap< T > | Type of a node property map that maps node descriptor objects onto property values of type `T` (API: LEMON)
MultiArray< N, T, Alloc > |
ChunkedArrayFull< N, T, Alloc > |
MultiArray< N, T, A > | Main `MultiArray` class containing the memory management
MultiBlocking< DIM, C > |
MultiCoordinateNavigator< Dimensions, N > | A navigator that provides access to the 1D subranges of an n-dimensional range given by an nD shape
MultiImageAccessor2< Iter1, Acc1, Iter2, Acc2 > | Access two images simultaneously
MultiIterator< N, T, REFERENCE, POINTER > | A multi-dimensional hierarchical iterator to be used with vigra::MultiArrayView if it is not strided
NeighborCode | Encapsulation of direction management for 4-neighborhood
NeighborCode | Encapsulation of direction management for the 8-neighborhood
NeighborOffsetCirculator< EightNeighborCode > |
NeighborCode3D | Encapsulation of direction management of neighbors for a 3D 6-neighborhood
NeighborCode3D | Encapsulation of direction management of neighbors for a 3D 26-neighborhood
NeighborhoodCirculator< IMAGEITERATOR, NEIGHBORCODE > | Circulator that walks around a given location in a given image
RestrictedNeighborhoodCirculator< IMAGEITERATOR, NEIGHBORCODE > | Circulator that walks around a given location in a given image, using a restricted neighborhood
NeighborhoodCirculator< IMAGEITERATOR, EightNeighborCode > |
NeighborOffsetCirculator< NEIGHBORCODE > | Circulator that walks around a given location
NodeBase |
Node< e_ConstProbNode > |
NodeComplexityStop | Random forest 'node complexity' stop criterion
AdjacencyListGraph::NodeMap< T > | Default node map
NoiseNormalizationOptions | Pass options to one of the noise normalization functions
NonlinearLSQOptions | Pass options to nonlinearLeastSquares()
NormalizeStatus |
NormalRandomFunctor< Engine > |
NumInstancesStop | Random forest 'number of datapoints' stop criterion
NumpyAnyArray |
NumpyArray< N, T, Stride > |
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>`)
ParallelOptions | Option base class for parallel algorithms
BlockwiseOptions |
BlockwiseConvolutionOptions< N > |
BlockwiseLabelOptions |
PermuteCluster< Iter, DT > |
PLSAOptions | Option object for the pLSA algorithm
PolynomialView< T > |
Polynomial< T > |
StaticPolynomial< MAXORDER, T > |
Polytope< N, T > | Represent an n-dimensional polytope
StarPolytope< N, T > | Specialization of the polytope to polytopes which forms a star domain
ConvexPolytope< N, T > |
Polytope< N, double > |
StarPolytope< N, double > |
ConvexPolytope< dimensions, double > |
PowerSum< N > | Basic statistic. PowerSum<N> =
Principal< A > | Modifier. Project onto PCA eigenvectors
Principal< CoordinateSystem > | Specialization (covariance eigenvectors): works in pass 1, operator+=() supported (merging)
Principal< PowerSum< 2 > > | Specialization (covariance eigenvalues): works in pass 1, operator+=() supported (merging)
PriorityQueue< ValueType, PriorityType, Ascending > | Heap-based priority queue compatible to BucketQueue
ProblemSpec< LabelType > | Problem specification class for the random forest
Processor< Tag, LabelType, T1, C1, T2, C2 > |
Processor< ClassificationTag, LabelType, T1, C1, T2, C2 > |
Processor< RegressionTag, LabelType, T1, C1, T2, C2 > |
PropertyMap< KEYTYPE, MAPPEDTYPE, ContainerTag > | The PropertyMap is used to store Node or Arc information of graphs
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)
PropertyMap< KEYTYPE, MAPPEDTYPE, VectorTag > | Specialization of PropertyMap that stores the elements in a vector (size = max node id of stored elements)
PurityStop | Random forest 'node purity' stop criterion
Quaternion< ValueType > |
RandomForest< LabelType, PreprocessorTag > | Random forest version 2 (see also vigra::rf3::RandomForest for version 3)
RandomForest< FEATURES, LABELS, SPLITTESTS, ACCTYPE > | Random forest version 3
RandomForestClassCounter< DataSource, CountArray > |
RandomForestOptions | Options class for vigra::rf3::RandomForest version 3
RandomForestOptions | Options object for the random forest
RandomNumberGenerator< Engine > |
RandomSplitOfColumn |
Range | Return both the minimum and maximum in `std::pair`
Rational< IntType > |
Rect2D | Two dimensional rectangle
RedAccessor< RGBVALUE > |
ReduceFunctor< FUNCTOR, VALUETYPE > | Apply a functor to reduce the dimensionality of an array
RegionCircularity | Compute the circularity of a 2D region
RegionContour | Compute the contour of a 2D region
RegionEccentricity | Compute the eccentricity of a 2D region in terms of its prinipal radii
RegionPerimeter | Compute the perimeter of a 2D region
RFErrorCallback |
RFVisitorBase | Base class from which all random forest visitors derive
OOBError | Compute the out of bag error
RFStopVisiting | The default visitor node (= "do nothing")
VariableImportance | Compute the variable importance
RFVisitorNode< VISITOR, NEXT, CPY > | Container elements of the statically linked visitor list. Use the create_visitor() functions to create visitors up to size 10
RGB2LabFunctor< T > | Convert linear (raw) RGB into perceptual uniform CIE L*a*b*
RGB2LuvFunctor< T > | Convert linear (raw) RGB into perceptual uniform CIE L*u*v*
RGB2RGBPrimeFunctor< From, To > | Convert linear (raw) RGB into non-linear (gamma corrected) R'G'B'
RGB2sRGBFunctor< From, To > | Convert linear (raw) RGB into standardized sRGB
RGB2XYZFunctor< T > | Convert linear (raw) RGB into standardized tri-stimulus XYZ
RGBGradientMagnitudeFunctor< ValueType > |
RGBPrime2LabFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into perceptual uniform CIE L*a*b*
RGBPrime2LuvFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into perceptual uniform CIE L*u*v*
RGBPrime2RGBFunctor< From, To > | Convert non-linear (gamma corrected) R'G'B' into non-linear (raw) RGB
RGBPrime2XYZFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into standardized tri-stimulus XYZ
RGBPrime2YPrimeCbCrFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into Y'CbCr color difference components
RGBPrime2YPrimeIQFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into Y'IQ components
RGBPrime2YPrimePbPrFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into Y'PbPr color difference components
RGBPrime2YPrimeUVFunctor< T > | Convert non-linear (gamma corrected) R'G'B' into Y'UV components
RGBToGrayAccessor< RGBVALUE > |
RootDivideByCount< A > | Modifier. RootDivideByCount<TAG> = sqrt( TAG/Count )
RootDivideUnbiased< A > | Modifier. RootDivideUnbiased<TAG> = sqrt( TAG / (Count-1) )
RowIterator< IMAGE_ITERATOR > | Iterator adapter to linearly access row
Sampler< Random > | Create random samples from a sequence of indices
SamplerOptions | Options object for the Sampler class
ScatterMatrixEigensystem |
SeedOptions | Options object for generateWatershedSeeds()
SeedRgDirectValueFunctor< Value > | Statistics functor to be used for seeded region growing
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
ShortestPathDijkstra< GRAPH, WEIGHT_TYPE > | Shortest path computer
SIFImportInfo | Extracts image properties from an Andor SIF file header
SkeletonOptions | Option object for skeletonizeImage()
Skewness | Basic statistic. Skewness
SlantedEdgeMTFOptions | Pass options to one of the slantedEdgeMTF() functions
SlicOptions | Options object for slicSuperpixels()
SortSamplesByDimensions< DataMatrix > |
Splice< T > |
SplineImageView< ORDER, VALUETYPE > | Create a continuous view onto a discrete image using splines
SplineImageView0< VALUETYPE, INTERNAL_TRAVERSER > | Create an image view for nearest-neighbor interpolation
SplineImageView0< VALUETYPE > |
SplineImageView1< VALUETYPE, INTERNAL_TRAVERSER > | Create an image view for bi-linear interpolation
SplineImageView1< VALUETYPE > |
SplitBase< Tag > |
ThresholdSplit< ColumnDecisionFunctor, Tag > |
sRGB2RGBFunctor< From, To > | Convert standardized sRGB into non-linear (raw) RGB
StandardAccessor< VALUETYPE > | Encapsulate access to the values an iterator points to
StandardAccessor< RGBVALUE > |
SequenceAccessor< RGBVALUE > |
VectorAccessor< RGBVALUE > |
RGBAccessor< T > |
StandardAccessor< SEQUENCE > |
SequenceAccessor< SEQUENCE > | Accessor for items that are STL compatible sequences
StandardAccessor< VECTOR > |
SequenceAccessor< VECTOR > |
VectorAccessor< VECTOR > | Accessor for items that are STL compatible vectors
StandardConstAccessor< VALUETYPE > | Encapsulate read access to the values an iterator points to
StandardConstValueAccessor< VALUETYPE > | Encapsulate access to the values an iterator points to
StandardQuantiles< Hist > | Compute (0%, 10%, 25%, 50%, 75%, 90%, 100%) quantiles from given histogram
StandardValueAccessor< VALUETYPE > | Encapsulate access to the values an iterator points to
StopBase |
StopAfterTree |
StopAfterVoteCount |
StopIfBinTest |
StopIfConverging |
StopIfMargin |
StopIfProb |
StridedArrayTag |
StridedMultiIterator< N, T, REFERENCE, POINTER > | A multi-dimensional hierarchical iterator to be used with vigra::MultiArrayView if it is not strided
ThinPlateSplineFunctor |
ThreadPool | Thread pool class to manage a set of parallel workers
Threshold< SrcValueType, DestValueType > | Threshold an image
TinyVectorBase< V1, SIZE, D1, D2 > | Base class for fixed size vectors
TinyVectorBase< double, SIZE, double[SIZE], TinyVector< double, SIZE > > |
TinyVector< double, 2 > |
TinyVector< double, 7 > |
TinyVector< double, BinCount > |
TinyVector< double, coordSize > |
TinyVector< double, dimensions > |
TinyVector< double, N > |
TinyVectorBase< float, SIZE, float[SIZE], TinyVector< float, SIZE > > |
TinyVector< float, 3 > |
TinyVectorBase< INDEX_TYPE, SIZE, INDEX_TYPE[SIZE], TinyVector< INDEX_TYPE, SIZE > > |
TinyVector< INDEX_TYPE, 3 > |
TinyVectorBase< int, SIZE, int[SIZE], TinyVector< int, SIZE > > |
TinyVector< int, 2 > |
TinyVectorBase< PointValue, SIZE, PointValue[SIZE], TinyVector< PointValue, SIZE > > |
TinyVector< PointValue, DIMENSION > |
TinyVectorBase< T, SIZE, T *, TinyVectorView< T, SIZE > > |
TinyVectorView< T, SIZE > | Wrapper for fixed size vectors
TinyVectorBase< T, SIZE, T[SIZE], TinyVector< T, SIZE > > |
TinyVector< T, N > |
TinyVector< T, SIZE > | Class for fixed size vectors.This class contains an array of size SIZE of the specified VALUETYPE. The interface conforms to STL vector, except that there are no functions that change the size of a TinyVector
TinyVectorBase< unsigned int, SIZE, unsigned int[SIZE], TinyVector< unsigned int, SIZE > > |
TinyVector< unsigned int, 1 > |
TinyVector< unsigned int, N > |
TinyVectorBase< ValueType, SIZE, ValueType[SIZE], TinyVector< ValueType, SIZE > > |
TinyVector< ValueType, 3 > |
TinyVectorBase< VALUETYPE, SIZE, VALUETYPE[SIZE], TinyVector< VALUETYPE, SIZE > > |
TinyVector< VALUETYPE, 3 > |
RGBValue< T, RED_IDX, GREEN_IDX, BLUE_IDX > | Class for a single RGB value
TinyVector< VALUETYPE, DIMENSION > |
GridGraph< N, DirectedTag >::traversal_category | Define several graph tags related to graph traversal (API: boost::graph, use via `boost::graph_traits<Graph>::traversal_category`)
UnbiasedKurtosis | Basic statistic. Unbiased Kurtosis
UnbiasedSkewness | Basic statistic. Unbiased Skewness
UniformIntRandomFunctor< Engine > |
UniformRandomFunctor< Engine > |
UnstridedArrayTag |
UserRangeHistogram< BinCount > | Histogram where user provides bounds for linear range mapping from values to indices
VariableSelectionResult |
VectorComponentAccessor< VECTORTYPE > | Accessor for one component of a vector
VectorComponentValueAccessor< VECTORTYPE > | Accessor for one component of a vector
VectorElementAccessor< ACCESSOR > | Accessor for one component of a vector
VectorNormFunctor< ValueType > | A functor for computing the vector norm
VectorNormSqFunctor< ValueType > | A functor for computing the squared vector norm
VisitorBase |
ClusterImportanceVisitor |
CompleteOOBInfo |
CorrelationVisitor |
OnlineLearnVisitor |
OOB_Error |
OOB_PerTreeError |
RandomForestProgressVisitor |
StopVisiting |
VariableImportanceVisitor |
VisitorCopy< VISITOR > |
VisitorNode< Visitor, Next > |
VolumeExportInfo | Argument object for the function exportVolume()
VolumeImportInfo | Argument object for the function importVolume()
WatershedOptions | Options object for watershed algorithms
WeightArg< INDEX > | Specifies index of data in CoupledHandle
Weighted< A > | Compute weighted version of the statistic
WignerMatrix< Real > | Computation of Wigner D matrix + rotation functions in SH,VH and R³
XYZ2LabFunctor< T > | Convert standardized tri-stimulus XYZ into perceptual uniform CIE L*a*b*
XYZ2LabFunctor< component_type > |
XYZ2LuvFunctor< T > | Convert standardized tri-stimulus XYZ into perceptual uniform CIE L*u*v*
XYZ2LuvFunctor< component_type > |
XYZ2RGBFunctor< T > | Convert standardized tri-stimulus XYZ into linear (raw) RGB
XYZ2RGBPrimeFunctor< T > | Convert standardized tri-stimulus XYZ into non-linear (gamma corrected) R'G'B'
YPrimeCbCr2RGBPrimeFunctor< T > | Convert Y'CbCr color difference components into non-linear (gamma corrected) R'G'B'
YPrimeIQ2RGBPrimeFunctor< T > | Convert Y'IQ color components into non-linear (gamma corrected) R'G'B'
YPrimePbPr2RGBPrimeFunctor< T > | Convert Y'PbPr color difference components into non-linear (gamma corrected) R'G'B'
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 1.11.0 (Fri May 19 2017)