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Class List | ![]() |
AbsPowerSum< N > | Basic statistic. AbsPowerSum<N> = ![]() |
AccumulatorChain< T, Selected, dynamic > | Create an 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 |
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 |
ArrayVector< T, Alloc > | |
ArrayVectorView< T > | |
AutoRangeHistogram< BinCount > | Histogram where range mapping bounds are defined by minimum and maximum of data |
BasicImage< PIXELTYPE, Alloc > | Fundamental class template for images |
BasicImageIterator< PIXELTYPE, ITERATOR > | |
BasicImageIteratorBase< IMAGEITERATOR, PIXELTYPE, REFERENCE, POINTER, LINESTARTITERATOR > | |
BasicImageView< PIXELTYPE > | BasicImage using foreign memory |
BestGiniOfColumn< LineSearchLossTag > | |
BilinearInterpolatingAccessor< ACCESSOR, VALUETYPE > | Bilinear interpolation at non-integer positions |
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() |
BrightnessContrastFunctor< PixelType > | Adjust brightness and contrast of an image |
BSpline< ORDER, T > | |
BSplineBase< ORDER, T > | |
BucketQueue< ValueType, Ascending > | Priority queue implemented using bucket sort |
CatmullRomSpline< T > | |
Central< TAG > | 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) |
cl_charNAccessor_COMP | |
cl_TYPE3WriteAccessor_s1 | |
cl_TYPE3WriteAccessor_s2 | |
ClusterImportanceVisitor | |
ColumnIterator< IMAGE_ITERATOR > | Iterator adapter to linearly access columns |
CompleteOOBInfo | |
ConstBasicImageIterator< PIXELTYPE, ITERATOR > | |
ConstImageIterator< PIXELTYPE > | Standard 2D random access const iterator for images that store the data as a linear array |
ConstStridedImageIterator< PIXELTYPE > | Const iterator to be used when pixels are to be skipped |
ConstValueIterator< PIXELTYPE > | Iterator that always returns the constant specified in the constructor |
ConvolutionOptions< dim > | Options class template for convolutions |
Coord< TAG > | 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 | |
CorrelationVisitor | |
CoscotFunction< T > | |
CoupledHandle< T, NEXT > | |
CoupledIteratorType< N, T1, T2, T3, T4, T5 > | |
CoupledScanOrderIterator< N, HANDLES, DIMENSION > | Iterate over multiple images simultaneously in scan order |
CrackContourCirculator< IMAGEITERATOR > | Circulator that walks around a given region |
DataArg< INDEX > | Specifies index of data in CoupledHandle |
Diff2D | Two dimensional difference vector |
DiffusivityFunctor< Value > | Diffusivity functor for non-linear diffusion |
Dist2D | |
DivideByCount< TAG > | Modifier. Divide statistic by Count: DivideByCount<TAG> = TAG / Count |
DivideUnbiased< TAG > | Modifier. Divide statistics by Count-1: DivideUnbiased<TAG> = TAG / (Count-1) |
Draw< T1, T2, C1, C2 > | |
DT_StackEntry< Iter > | |
DynamicAccumulatorChain< T, Selected > | Create a dynamic accumulator chain containing the selected statistics and their dependencies |
DynamicAccumulatorChainArray< T, Selected > | Create an array of dynamic accumulator chains containing the selected per-region and global statistics and their dependencies |
EarlyStoppStd | Standard early stopping criterion |
Edgel | |
EntropyCriterion | |
FFTWComplex< Real > | Wrapper class for the FFTW complex types 'fftw_complex ' |
FFTWConvolvePlan< N, Real > | |
FFTWImaginaryAccessor< Real > | |
FFTWMagnitudeAccessor< Real > | |
FFTWPhaseAccessor< Real > | |
FFTWPlan< N, Real > | |
FFTWRealAccessor< Real > | |
FFTWSquaredMagnitudeAccessor< Real > | |
FFTWWriteRealAccessor< Real > | |
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 |
FixedPoint< IntBits, FractionalBits > | |
FixedPoint16< IntBits, OverflowHandling > | |
FlatScatterMatrix | Basic statistic. Flattened uppter-triangular part of scatter matrix |
FunctorTraits< T > | Export associated information for a functor |
GaborFilterFamily< ImageType, Alloc > | Family of gabor filters of different scale and direction |
GammaFunctor< PixelType > | Perform gamma correction of an image |
Gaussian< T > | |
GetClusterVariables | |
GiniCriterion | |
Global< TAG > | 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 > | |
HC_Entry | |
HClustering | |
HDF5File | Access to HDF5 files |
HDF5Handle | Wrapper for hid_t objects |
HDF5ImportInfo | Argument object for the function readHDF5() |
HistogramOptions | Set histogram options |
ImageArray< ImageType, Alloc > | Fundamental class template for arrays of equal-sized images |
ImageExportInfo | Argument object for the function exportImage() |
ImageImportInfo | Argument object for the function importImage() |
ImageIterator< PIXELTYPE > | Standard 2D random access iterator for images that store the data in a linear array |
ImageIteratorBase< IMAGEITERATOR, PIXELTYPE, REFERENCE, POINTER, StridedOrUnstrided > | Base class for 2D random access iterators |
ImagePyramid< ImageType, Alloc > | Class template for logarithmically tapering image pyramids |
IntegerHistogram< BinCount > | Histogram where data values are equal to bin indices |
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 |
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 |
LabelArg< INDEX > | Specifies index of labels in CoupledHandle |
LastValueFunctor< VALUETYPE > | Stores and returns the last value it has seen |
LeastAngleRegressionOptions | Pass options to leastAngleRegression() |
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 |
MagnitudeFunctor< ValueType > | |
MappedBucketQueue< ValueType, PriorityFunctor, Ascending > | Priority queue implemented using bucket sort (STL compatible) |
Matrix< T, ALLOC > | |
Maximum | Basic statistic. Maximum value |
Median | |
MeshGridAccessor | |
Minimum | Basic statistic. Minimum value |
MultiArray< N, T, A > | Main MultiArray class containing the memory management |
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 > | |
MultiArrayView< N, T, StrideTag > | Base class for, and view to, vigra::MultiArray |
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 |
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 |
NeighborOffsetCirculator< NEIGHBORCODE > | Circulator that walks around a given location |
Node< e_ConstProbNode > | |
NodeBase | |
NoiseNormalizationOptions | Pass options to one of the noise normalization functions |
NormalizeStatus | |
NormalRandomFunctor< Engine > | |
NumpyAnyArray | |
NumpyArray< N, T, Stride > | |
OnlineLearnVisitor | |
OOB_Error | |
OOB_PerTreeError | |
PermuteCluster< Iter, DT > | |
PLSAOptions | Option object for the pLSA algorithm |
Point2D | Two dimensional point or position |
Polynomial< T > | |
PolynomialView< T > | |
PowerSum< N > | Basic statistic. PowerSum<N> = ![]() |
Principal< TAG > | 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< ClassificationTag, LabelType, T1, C1, T2, C2 > | |
Processor< RegressionTag, LabelType, T1, C1, T2, C2 > | |
Quaternion< ValueType > | |
RandomForest< LabelType, PreprocessorTag > | |
RandomForestClassCounter< DataSource, CountArray > | |
RandomForestOptions | Options object for the random forest |
RandomForestProgressVisitor | |
RandomNumberGenerator< Engine > | |
RandomSplitOfColumn | |
Rational< IntType > | |
Rect2D | Two dimensional rectangle |
RedAccessor< RGBVALUE > | |
ReduceFunctor< FUNCTOR, VALUETYPE > | Apply a functor to reduce the dimensionality of an array |
RestrictedNeighborhoodCirculator< IMAGEITERATOR, NEIGHBORCODE > | Circulator that walks around a given location in a given image, using a restricted neighborhood |
RFErrorCallback | |
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 |
RGBAccessor< RGBVALUE > | |
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 > | |
RGBValue< VALUETYPE, RED_IDX, GREEN_IDX, BLUE_IDX > | Class for a single RGB value |
RootDivideByCount< TAG > | Modifier. RootDivideByCount<TAG> = sqrt( TAG/Count ) |
RootDivideUnbiased< TAG > | 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 |
SequenceAccessor< SEQUENCE > | Accessor for items that are STL compatible sequences |
SIFImportInfo | Extracts image properties from an Andor SIF file header |
Size2D | Two dimensional size object |
Skewness | Basic statistic. Skewness |
SlantedEdgeMTFOptions | Pass options to one of the slantedEdgeMTF() functions |
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 |
SplineImageView1< VALUETYPE, INTERNAL_TRAVERSER > | Create an image view for bi-linear interpolation |
SplitBase< Tag > | |
sRGB2RGBFunctor< From, To > | Convert standardized sRGB into non-linear (raw) RGB |
StandardAccessor< VALUETYPE > | Encapsulate access to the values an iterator points to |
StandardConstAccessor< VALUETYPE > | Encapsulate read access to the values an iterator points to |
StandardConstValueAccessor< VALUETYPE > | Encapsulate access to the values an iterator points to |
StandardQuantiles< HistogramAccumulator > | Compute (0%, 10%, 25%, 50%, 75%, 90%, 100%) quantiles from given histogram |
StandardValueAccessor< VALUETYPE > | Encapsulate access to the values an iterator points to |
StaticPolynomial< MAXORDER, T > | |
StopAfterTree | |
StopAfterVoteCount | |
StopBase | |
StopIfBinTest | |
StopIfConverging | |
StopIfMargin | |
StopIfProb | |
StopVisiting | |
StridedArrayTag | |
StridedImageIterator< PIXELTYPE > | Iterator to be used when pixels are to be skipped |
StridedMultiIterator< N, T, REFERENCE, POINTER > | A multi-dimensional hierarchical iterator to be used with vigra::MultiArrayView if it is not strided |
StridedScanOrderIterator< N, T, REFERENCE, POINTER, M > | Sequential iterator for MultiArrayView |
Threshold< SrcValueType, DestValueType > | Threshold an image |
ThresholdSplit< ColumnDecisionFunctor, Tag > | |
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< VALUETYPE, SIZE, DATA, DERIVED > | Base class for fixed size vectors |
TinyVectorView< T, SIZE > | Wrapper for fixed size vectors |
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 |
VariableImportanceVisitor | |
VariableSelectionResult | |
VectorAccessor< VECTOR > | Accessor for items that are STL compatible vectors |
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 | |
VisitorNode< Visitor, Next > | |
VolumeExportInfo | Argument object for the function exportVolume() |
VolumeImportInfo | Argument object for the function importVolume() |
WatershedOptions | Options object for watershedsRegionGrowing() |
WeightArg< INDEX > | Specifies index of data in CoupledHandle |
Weighted< TAG > | 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* |
XYZ2LuvFunctor< T > | Convert standardized tri-stimulus XYZ into perceptual uniform CIE L*u*v* |
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) |
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