vigra - Class List

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Class List |

Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 12345]

vigra |
acc | Efficient computation of object statistics
AbsPowerSum | Basic statistic. AbsPowerSum<N> =
AccumulatorChain | Create an accumulator chain containing the selected statistics and their dependencies
AccumulatorChainArray | Create an array of accumulator chains containing the selected per-region and global statistics and their dependencies
ArgMaxWeight | Basic statistic. Data where weight assumes its maximal value
ArgMinWeight | Basic statistic. Data value where weight assumes its minimal value
AutoRangeHistogram | Histogram where range mapping bounds are defined by minimum and maximum of data
Central | 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 | Alias. CentralMoment<N>
ConvexHull | Compute the convex hull of a region
ConvexHullFeatures | Compute object features related to the convex hull
Impl | Result type of the covex hull feature calculation
Coord | Modifier. Compute statistic from pixel coordinates rather than from pixel values
CoordinateSystem | Basic statistic. Identity matrix of appropriate size
DataArg | Specifies index of data in CoupledHandle
DivideByCount | Modifier. Divide statistic by Count: DivideByCount<TAG> = TAG / Count
DivideUnbiased | Modifier. Divide statistics by Count-1: DivideUnbiased<TAG> = TAG / (Count-1)
DynamicAccumulatorChain | Create a dynamic accumulator chain containing the selected statistics and their dependencies
DynamicAccumulatorChainArray | Create an array of dynamic accumulator chains containing the selected per-region and global statistics and their dependencies
FirstSeen | Basic statistic. First data value seen of the object
FlatScatterMatrix | Basic statistic. Flattened uppter-triangular part of scatter matrix
Global | Modifier. Compute statistic globally rather than per region
GlobalRangeHistogram | Like AutoRangeHistogram, but use global min/max rather than region min/max
IntegerHistogram | Histogram where data values are equal to bin indices
Kurtosis | Basic statistic. Kurtosis
LabelArg | Specifies index of labels in CoupledHandle
Maximum | Basic statistic. Maximum value
Minimum | Basic statistic. Minimum value
Moment | Alias. Moment<N>
PowerSum | Basic statistic. PowerSum<N> =
Principal | 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)
Range | Return both the minimum and maximum in `std::pair`
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
RootDivideByCount | Modifier. RootDivideByCount<TAG> = sqrt( TAG/Count )
RootDivideUnbiased | Modifier. RootDivideUnbiased<TAG> = sqrt( TAG / (Count-1) )
ScatterMatrixEigensystem |
Select | Wrapper for MakeTypeList that additionally performs tag standardization
Skewness | Basic statistic. Skewness
StandAloneAccumulatorChain | Create an accumulator chain that works independently of a MultiArray
StandAloneDataFreeAccumulatorChain | Create an accumulator chain that works independently of a MultiArray
StandardQuantiles | Compute (0%, 10%, 25%, 50%, 75%, 90%, 100%) quantiles from given histogram
UnbiasedKurtosis | Basic statistic. Unbiased Kurtosis
UnbiasedSkewness | Basic statistic. Unbiased Skewness
UserRangeHistogram | Histogram where user provides bounds for linear range mapping from values to indices
WeightArg | Specifies index of data in CoupledHandle
Weighted | Compute weighted version of the statistic
autodiff |
DualVector |
linalg | Linear algebra functions
LeastAngleRegressionOptions | Pass options to leastAngleRegression()
Matrix |
multi_math |
cluster_operators |
EdgeWeightNodeFeatures | This Cluster Operator is a MONSTER. It can really do a lot
merge_graph_detail |
IterablePartition |
metrics | Define functors for various common metrics
Metric | Functor to compute a metric between two vectors
FourNeighborhood |
NeighborCode | Encapsulation of direction management for 4-neighborhood
EightNeighborhood |
NeighborCode | Encapsulation of direction management for the 8-neighborhood
rf |
algorithms |
ClusterImportanceVisitor |
CorrectStatus |
Draw |
GetClusterVariables |
HC_Entry |
HClustering |
NormalizeStatus |
PermuteCluster |
RFErrorCallback |
VariableSelectionResult |
split |
Median |
RandomSplitOfColumn |
visitors | Visitors to extract information during training of vigra::RandomForest version 2
detail |
VisitorNode |
CompleteOOBInfo |
CorrelationVisitor |
OnlineLearnVisitor |
OOB_Error |
OOB_PerTreeError |
RandomForestProgressVisitor |
StopVisiting |
VariableImportanceVisitor |
VisitorBase |
rf3 | Random forest version 3
detail |
GeneralScorer |
RFVisitorNode | Container elements of the statically linked visitor list. Use the create_visitor() functions to create visitors up to size 10
DepthStop | Random forest 'maximum depth' stop criterion
EntropyScore | Functor that computes the entropy score
GiniScore | Functor that computes the gini score
KolmogorovSmirnovScore | Functor that computes the Kolmogorov-Smirnov score
NodeComplexityStop | Random forest 'node complexity' stop criterion
NumInstancesStop | Random forest 'number of datapoints' stop criterion
OOBError | Compute the out of bag error
PurityStop | Random forest 'node purity' stop criterion
RandomForest | Random forest version 3
RandomForestOptions | Options class for vigra::rf3::RandomForest version 3
RFStopVisiting | The default visitor node (= "do nothing")
RFVisitorBase | Base class from which all random forest visitors derive
VariableImportance | Compute the variable importance
VisitorCopy |
Neighborhood3DSix |
NeighborCode3D | Encapsulation of direction management of neighbors for a 3D 6-neighborhood
Neighborhood3DTwentySix |
NeighborCode3D | Encapsulation of direction management of neighbors for a 3D 26-neighborhood
AdjacencyListGraph | Undirected adjacency list graph in the LEMON API
ArcMap | Default arc map
EdgeMap | Default edge map
NodeMap | Default node map
AffineMotionEstimationOptions | Option object for affine registration functions
Any | Typesafe storage of arbitrary values
ArrayOfRegionStatistics | Calculate statistics for all regions of a labeled image
ArrayVector |
ArrayVectorView |
BasicImage | Fundamental class template for images
BasicImageIterator |
BasicImageIteratorBase |
BasicImageView | BasicImage using foreign memory
BestGiniOfColumn |
BilinearInterpolatingAccessor | Bilinear interpolation at non-integer positions
BinaryForest | BinaryForest stores a collection of rooted binary trees
BlockwiseConvolutionOptions |
BlockwiseLabelOptions |
BlockwiseOptions |
BlueAccessor |
Box | 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()
BrightnessContrastFunctor | Adjust brightness and contrast of an image
BSpline |
BSplineBase |
BucketQueue | Priority queue implemented using bucket sort
CatmullRomSpline |
ChangeablePriorityQueue | Heap-based changable priority queue with a maximum number of elemements
ChunkedArray | Interface and base class for chunked arrays
ChunkedArrayCompressed |
ChunkedArrayFull |
ChunkedArrayHDF5 |
ChunkedArrayLazy |
ChunkedArrayOptions | Option object for ChunkedArray construction
ChunkedArrayTag |
ChunkedArrayTmpFile |
ClusteringOptions | Options object for hierarchical clustering
ColumnIterator | Iterator adapter to linearly access columns
ConstBasicImageIterator |
ConstImageIterator | Standard 2D random access const iterator for images that store the data as a linear array
ConstStridedImageIterator | Const iterator to be used when pixels are to be skipped
ConstValueIterator | Iterator that always returns the constant specified in the constructor
ConvexPolytope |
ConvolutionOptions | Options class template for convolutions
CoordinateConstValueAccessor | Forward accessor to the value() part of the values an iterator points to
CoscotFunction |
CountingIterator | Iterator that counts upwards or downwards with a given step size
CoupledArrays |
CoupledHandle |
CoupledIteratorType |
CoupledScanOrderIterator | Iterate over multiple images simultaneously in scan order
CrackContourCirculator | Circulator that walks around a given region
Diff2D | Two dimensional difference vector
DiffusivityFunctor | Diffusivity functor for non-linear diffusion
Dist2D |
DistancePowerFunctor |
DT_StackEntry |
EarlyStoppStd | Standard early stopping criterion
Edgel |
EnhancedFrostFunctor | This function tries to reduce the speckle noise of an image by applying the Enhanced Frost filter
EnhancedLeeFunctor | This function tries to reduce the speckle noise of an image by applying the Enhanced Lee filter
EntropyCriterion |
FFTWComplex | Wrapper class for the FFTW complex types '`fftw_complex`'
FFTWConvolvePlan |
FFTWCorrelatePlan |
FFTWImaginaryAccessor |
FFTWLogMagnitudeAccessor |
FFTWMagnitudeAccessor |
FFTWPhaseAccessor |
FFTWPlan |
FFTWRealAccessor |
FFTWSquaredMagnitudeAccessor |
FFTWWriteRealAccessor |
FilterIterator | This iterator creates a view of another iterator and skips elements that do not fulfill a given predicate
FindAverage | Find the average pixel value in an image or ROI
FindAverageAndVariance | 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 | Find the minimum and maximum pixel value in an image or ROI
FindROISize | Calculate the size of an ROI in an image
FindSum | Find the sum of the pixel values in an image or ROI
FixedPoint |
FixedPoint16 |
FunctorTraits | Export associated information for a functor
GaborFilterFamily | Family of gabor filters of different scale and direction
GammaFunctor | Perform gamma correction of an image
GammaMAPFunctor | This function tries to reduce the speckle noise of an image by applying the Gamma Maximum A Posteriori (MAP) filter
Gaussian |
GiniCriterion |
GrayToRGBAccessor |
GreenAccessor |
GridGraph | Define a grid graph in arbitrary dimensions
ArcMap | Type of an arc property map that maps arc descriptor objects onto property values of type `T` (API: LEMON)
EdgeMap | Type of an edge property map that maps edge descriptor objects onto property values of type `T` (API: LEMON)
InDegMap | Type of a property map that returns the number of incoming edges of a given node (API: LEMON, use via `lemon::InDegMap<Graph>`)
IndexMap | Type of a property map that returns the coordinate of a given node (API: LEMON)
NodeMap | Type of a node property map that maps node descriptor objects onto property values of type `T` (API: LEMON)
OutDegMap | Type of a property map that returns the number of outgoing edges of a given node (API: LEMON, use via `lemon::OutDegMap<Graph>`)
traversal_category | Define several graph tags related to graph traversal (API: boost::graph, use via `boost::graph_traits<Graph>::traversal_category`)
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 |
HistogramOptions | Set histogram options
ImageArray | Fundamental class template for arrays of equal-sized images
ImageExportInfo | Argument object for the function exportImage()
ImageImportInfo | Argument object for the function importImage()
ImageIterator | Standard 2D random access iterator for images that store the data in a linear array
ImageIteratorBase | Base class for 2D random access iterators
ImagePyramid | Class template for logarithmically tapering image pyramids
IteratorAdaptor | Quickly create 1-dimensional iterator adapters
IteratorTraits | Export associated information for each image iterator
Kernel1D | Generic 1 dimensional convolution kernel
Kernel2D | Generic 2 dimensional convolution kernel
KuanFunctor | This function tries to reduce the speckle noise of an image by applying the Kuan filter
Lab2RGBFunctor | Convert perceptual uniform CIE L*a*b* into linear (raw) RGB
Lab2RGBPrimeFunctor | Convert perceptual uniform CIE L*a*b* into non-linear (gamma corrected) R'G'B'
Lab2XYZFunctor | Convert perceptual uniform CIE L*a*b* into standardized tri-stimulus XYZ
LabelOptions | Option object for labelMultiArray()
LastValueFunctor | Stores and returns the last value it has seen
LeeFunctor | This function tries to reduce the speckle noise of an image by applying the basic Lee filter
LineIterator | Iterator adapter to iterate along an arbitrary line on the image
LocalMinmaxOptions | Options object for localMinima() and localMaxima()
Luv2RGBFunctor | Convert perceptual uniform CIE L*u*v* into linear (raw) RGB
Luv2RGBPrimeFunctor | Convert perceptual uniform CIE L*u*v* into non-linear (gamma corrected) R'G'B'
Luv2XYZFunctor | Convert perceptual uniform CIE L*u*v* into standardized tri-stimulus XYZ
MagnitudeFunctor |
MappedBucketQueue | Priority queue implemented using bucket sort (STL compatible)
MergeGraphAdaptor | Undirected graph adaptor for edge contraction and feature merging
MeshGridAccessor |
MultiArray | Main `MultiArray` class containing the memory management
MultiArrayNavigator | A navigator that provides access to the 1D subranges of an n-dimensional range given by a vigra::MultiIterator and an nD shape
MultiArrayShape |
MultiArrayView | Base class for, and view to, vigra::MultiArray
MultiBlocking |
MultiCoordinateIterator | Iterate over a virtual array where each element contains its coordinate
MultiCoordinateNavigator | A navigator that provides access to the 1D subranges of an n-dimensional range given by an nD shape
MultiImageAccessor2 | Access two images simultaneously
MultiIterator | A multi-dimensional hierarchical iterator to be used with vigra::MultiArrayView if it is not strided
NeighborhoodCirculator | Circulator that walks around a given location in a given image
NeighborOffsetCirculator | Circulator that walks around a given location
Node< e_ConstProbNode > |
NodeBase |
NoiseNormalizationOptions | Pass options to one of the noise normalization functions
NonlinearLSQOptions | Pass options to nonlinearLeastSquares()
NormalRandomFunctor |
NumpyAnyArray |
NumpyArray |
ParallelOptions | Option base class for parallel algorithms
PLSAOptions | Option object for the pLSA algorithm
Point2D | Two dimensional point or position
Polygon |
Polynomial |
PolynomialView |
Polytope | Represent an n-dimensional polytope
PriorityQueue | Heap-based priority queue compatible to BucketQueue
ProblemSpec | Problem specification class for the random forest
Processor |
Processor< ClassificationTag, LabelType, T1, C1, T2, C2 > |
Processor< RegressionTag, LabelType, T1, C1, T2, C2 > |
PropertyMap | 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)
Quaternion |
RandomForest | Random forest version 2 (see also vigra::rf3::RandomForest for version 3)
RandomForestClassCounter |
RandomForestOptions | Options object for the random forest
RandomNumberGenerator |
Rational |
Rect2D | Two dimensional rectangle
RedAccessor |
ReduceFunctor | Apply a functor to reduce the dimensionality of an array
RestrictedNeighborhoodCirculator | Circulator that walks around a given location in a given image, using a restricted neighborhood
RGB2LabFunctor | Convert linear (raw) RGB into perceptual uniform CIE L*a*b*
RGB2LuvFunctor | Convert linear (raw) RGB into perceptual uniform CIE L*u*v*
RGB2RGBPrimeFunctor | Convert linear (raw) RGB into non-linear (gamma corrected) R'G'B'
RGB2sRGBFunctor | Convert linear (raw) RGB into standardized sRGB
RGB2XYZFunctor | Convert linear (raw) RGB into standardized tri-stimulus XYZ
RGBAccessor |
RGBGradientMagnitudeFunctor |
RGBPrime2LabFunctor | Convert non-linear (gamma corrected) R'G'B' into perceptual uniform CIE L*a*b*
RGBPrime2LuvFunctor | Convert non-linear (gamma corrected) R'G'B' into perceptual uniform CIE L*u*v*
RGBPrime2RGBFunctor | Convert non-linear (gamma corrected) R'G'B' into non-linear (raw) RGB
RGBPrime2XYZFunctor | Convert non-linear (gamma corrected) R'G'B' into standardized tri-stimulus XYZ
RGBPrime2YPrimeCbCrFunctor | Convert non-linear (gamma corrected) R'G'B' into Y'CbCr color difference components
RGBPrime2YPrimeIQFunctor | Convert non-linear (gamma corrected) R'G'B' into Y'IQ components
RGBPrime2YPrimePbPrFunctor | Convert non-linear (gamma corrected) R'G'B' into Y'PbPr color difference components
RGBPrime2YPrimeUVFunctor | Convert non-linear (gamma corrected) R'G'B' into Y'UV components
RGBToGrayAccessor |
RGBValue | Class for a single RGB value
RowIterator | Iterator adapter to linearly access row
Sampler | Create random samples from a sequence of indices
SamplerOptions | Options object for the Sampler class
SeedOptions | Options object for generateWatershedSeeds()
SeedRgDirectValueFunctor | Statistics functor to be used for seeded region growing
SequenceAccessor | Accessor for items that are STL compatible sequences
ShortestPathDijkstra | Shortest path computer
SIFImportInfo | Extracts image properties from an Andor SIF file header
Size2D | Two dimensional size object
SkeletonOptions | Option object for skeletonizeImage()
SlantedEdgeMTFOptions | Pass options to one of the slantedEdgeMTF() functions
SlicOptions | Options object for slicSuperpixels()
SortSamplesByDimensions |
Splice |
SplineImageView | Create a continuous view onto a discrete image using splines
SplineImageView0 | Create an image view for nearest-neighbor interpolation
SplineImageView1 | Create an image view for bi-linear interpolation
SplitBase |
sRGB2RGBFunctor | Convert standardized sRGB into non-linear (raw) RGB
StandardAccessor | Encapsulate access to the values an iterator points to
StandardConstAccessor | Encapsulate read access to the values an iterator points to
StandardConstValueAccessor | Encapsulate access to the values an iterator points to
StandardValueAccessor | Encapsulate access to the values an iterator points to
StarPolytope | Specialization of the polytope to polytopes which forms a star domain
StaticPolynomial |
StopAfterTree |
StopAfterVoteCount |
StopBase |
StopIfBinTest |
StopIfConverging |
StopIfMargin |
StopIfProb |
StridedArrayTag |
StridedImageIterator | Iterator to be used when pixels are to be skipped
StridedMultiIterator | A multi-dimensional hierarchical iterator to be used with vigra::MultiArrayView if it is not strided
StridedScanOrderIterator | Sequential iterator for MultiArrayView
ThinPlateSplineFunctor |
ThreadPool | Thread pool class to manage a set of parallel workers
Threshold | Threshold an image
ThresholdSplit |
TinyVector | 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 | Base class for fixed size vectors
TinyVectorView | Wrapper for fixed size vectors
UniformIntRandomFunctor |
UniformRandomFunctor |
UnstridedArrayTag |
VectorAccessor | Accessor for items that are STL compatible vectors
VectorComponentAccessor | Accessor for one component of a vector
VectorComponentValueAccessor | Accessor for one component of a vector
VectorElementAccessor | Accessor for one component of a vector
VectorNormFunctor | A functor for computing the vector norm
VectorNormSqFunctor | A functor for computing the squared vector norm
VolumeExportInfo | Argument object for the function exportVolume()
VolumeImportInfo | Argument object for the function importVolume()
WatershedOptions | Options object for watershed algorithms
WignerMatrix | Computation of Wigner D matrix + rotation functions in SH,VH and R³
XYZ2LabFunctor | Convert standardized tri-stimulus XYZ into perceptual uniform CIE L*a*b*
XYZ2LuvFunctor | Convert standardized tri-stimulus XYZ into perceptual uniform CIE L*u*v*
XYZ2RGBFunctor | Convert standardized tri-stimulus XYZ into linear (raw) RGB
XYZ2RGBPrimeFunctor | Convert standardized tri-stimulus XYZ into non-linear (gamma corrected) R'G'B'
YPrimeCbCr2RGBPrimeFunctor | Convert Y'CbCr color difference components into non-linear (gamma corrected) R'G'B'
YPrimeIQ2RGBPrimeFunctor | Convert Y'IQ color components into non-linear (gamma corrected) R'G'B'
YPrimePbPr2RGBPrimeFunctor | Convert Y'PbPr color difference components into non-linear (gamma corrected) R'G'B'
YPrimeUV2RGBPrimeFunctor | Convert Y'UV color components into non-linear (gamma corrected) R'G'B'
cl_charNAccessor_COMP |
cl_TYPE3WriteAccessor_s1 |
cl_TYPE3WriteAccessor_s2 |

© 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 (Fri May 19 2017)