Uses of Package
org.anchoranalysis.feature.bean

Package
Description
Beans pertaining to feature-calculation.
A feature-list (custom list type for features) and associated providers.
Features that are sufficiently generic to work on any input-type.
Provider of a single feature.
Defines base class FeatureResults together with some implementations.
Sub-feature units of calculation that can be cached.
Classes to cache feature-results or parts of feature-results that occur repeatedly among features or across calculations of the same feature.
Base classes providing inputs to feature calculations.
Data objects for the names of features.
A defined context in which one or more features are provided inputs and produce results.
Features shared for referencing among calculations.
A collection of named-Features.
Beans pertaining to feature definition and calculation.
Beans that define context (which feature, which energy-stack) for evaluating feature-inputs.
Features that operate on a Histogram.
Features that operate on a ObjectCollection.
Features that operate on a pair of ObjectMasks.
Features that operate on a single ObjectMask.
Features that convert to/from physical spatial units (e.g. meters) as opposed to pixels/voxels.
Implementations and helper classes for calculating energy during an energy-minimization optimization scheme.
Creating EnergySchemes.
Features calculated on a Mark.
Factorized form of storing the energy during an energy-minimization optimization scheme.
Implementations of ChannelProvider that assign a score to particular subregions of a channel.
Features that are calculated from Dimensions.
Implementations of FeatureHistogram that calculate statistics.
Implementations of FeatureHistogram that perform thresholding.
Implementations of FeatureListProvider.
Implementations of FeatureListProvider with input-type FeatureInputPairObjects.
Implementations of FeatureListProvider that derive new features with permuted property-values.
Implementations of FeatureImageMetadata.
Implementations of FeatureObjectCollection.
Features from pairs of ObjectMasks.
Features that calculate the degree of overlap between two ObjectMasks.
Features that calculate how many other objects an ObjectMask directly neighbors.
Implementations of FeatureSingleObject.
Implementations of FeatureSingleObject that determine if an object lies at the border of an image.
Implementations of FeatureSingleObject that consider an object's bounding-box.
Implementations of FeatureSingleObject that reference a particular Channel in the associated EnergyStack.
Implementations of FeatureSingleObject that measure an object's intensity on a corresponding Channel.
Implementations of FeatureSingleObject that measure an object's gradient from corresponding Channels storing the gradient.
Implementations of FeatureSingleObject based on calculating image moments, with or without image intensity.
Implementations of FeatureSingleObject that implement morphological operations.
Implementations of FeatureSingleObject that measure the shape of the ObjectMask.
Implementations of FeatureSingleObject that use SharedObjects for calculations.
Implementations of FeatureSingleObject that use SharedObjects for calculations, and measure the degree of intersection between objects.
Implementations of FeatureSingleObject that processes an object slice-by-slice in the z-dimension.
Implementations of FeatureSingleObject that measures aspects of the surface of an ObjectMask.
Beans involving physical units for measurement.
Beans involving SharedObjects.
Beans involving SharedObjects and ObjectCollection.
Implementations of FeatureStack or other features that involve processing a Stack.
Implementations of FeatureStack that process an ObjectCollection.
Implementations of CalculationPart as used by features elsewhere in this package.
Extracting features using OpenCV.
Features that combine or convert other features in a generic way.
Arithmetic involving features.
Conditional operations involving features.
Operations that extract a single value from a list of features.
Features that compare against a range of values.
Replaces particular values if they are returned from a feature.
Converts feature values based upon a statistical measure of distribution.
Converting to/from physical units.
Features related to points and fitting points to conics.
Testing utilities and fixtures with no greater downstream dependency than anchor-image-feature or anchor-mpp.
A mocked feature internally using a feature-calculation.