Uses of Package
org.anchoranalysis.feature.calculate

Package
Description
A pairing of objects from two collections (bipartite matching).
Beans pertaining to feature-calculation.
Features that are sufficiently generic to work on any input-type.
Defines base class FeatureResults together with some implementations.
Sub-feature units of calculation that can be cached.
Interfaces like FeatureCalculator but bound to particular features.
Classes to cache feature-results or parts of feature-results that occur repeatedly among features or across calculations of the same feature.
Equivalent classes to org.anchoranalysis.feature.calculate.part after having been resolved against a cache.
A sub-part of the calculation of a feature, that can be cached, and reused by other features.
Base classes providing inputs to feature calculations.
A defined context in which one or more features are provided inputs and produce results.
Strategies to determine which child-cache (among hierarchy) to employ for a particular feature calculation.
Strategies on whether to reuse or invalidate a feature-input's cache.
Beans pertaining to feature definition and calculation.
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 of FeatureCalculatorMulti related to images, especially to create tables of feature-calculations.
A particular implementation of FeatureCalculatorMulti for feature-calculations based upon pairs of image-objects.
Image-related implementations of FeatureInput.
Implementations and helper classes for calculating energy during an energy-minimization optimization scheme.
Features calculated on a Mark.
Non-bean classes pertaining to calculating energy of {org.anchoranalysis.mpp.mark.Mark}s.
Saved snapshots of energy-calculations.
Factorized form of storing the energy during an energy-minimization optimization scheme.
Non-bean classes for calculating feature-values related to Marks.
Features that are calculated from Dimensions.
Implementations of FeatureHistogram that calculate statistics.
Implementations of FeatureHistogram that perform thresholding.
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.
Implementations of VoxelScore.
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.
Implementations of CalculationPart that that process a single ObjectMask.
Implementations of CalculationPart that process Stacks as used by features elsewhere in this package.
Non-bean for operations or calculations relating to intensity.
Merging ObjectMasks.
Source of rows in feature-tables with FeatureSource and derived classes.
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.
Converts feature values based upon a statistical measure of distribution.
Converting to/from physical units.
Non-bean statistical operations.
Features related to points and fitting points to conics.
CalculationPart related to fitting ellipses to points by least-squares.
CalculationPart related to fitting ellipsoids to points by least-squares.
Testing utilities and fixtures with no greater downstream dependency than anchor-image-feature or anchor-mpp.
A mocked feature internally using a feature-calculation.