Uses of Package
org.anchoranalysis.bean.initializable

Package
Description
Defining, loading, initializing Anchor Beans.
Setting, referencing and initializing key-value parameters.
Defines a root path directory on the filesystem whre files are read / written.
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.
Core (bean) classes for image processing.
Base classes for performing operations on Channels.
Classes that aren't AnchorBeans that pertain to the initialization of image-related beans.
Beans pertaining to ObjectMask and their collections.
Base classes for providers of different core data entities related to images.
A provider of Stacks.
Base classes to perform image segmentation, transforming an image into another meaningful entity or entities.
Base classes to perform binary-segmentation.
Base classes to segment a channel into objects.
Beans to define entities or operate that consider Euclidian space.
Base classes for thresholding and calculating levels for thresholding.
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.
Beans to specify the outputting of features into CSV from a ObjectCollection.
Beans to combine multiple stacks into a single stack before outputting.
Methods to provide a Dictionary.
Methods to provide a single file-path.
Beans pertaining to marked-point-processes.
Beans related to creating Marks.
Operations based on sets of points.
Fitting structures to sets of points.
Proposing Marks or other data-structures with particular attributes.
Implementations of Provider involving Marks.
Implementations and helper classes for calculating energy during an energy-minimization optimization scheme.
Creating EnergySchemes.
Features calculated on a Mark.
Implementations of ChannelProvider that use FIJI.
Euclidean Distance Transform implementations via FIJI.
Implementations of MaskProvider that use FIJI.
Implementations of Thresholder that use FIJI.
Implementations of ChannelProvider that are generic base-classes or otherwise abstract or general.
Implementations of ChannelProvider that perform arithmetic on voxels in one or more Channels.
Implementations of ChannelProvider that sets the values of the voxels in a Channel.
Implementations of ChannelProvider that converts a Channel from one voxel-type to another.
Implementations of ChannelProvider that calculate the gradient of a Channel's voxels in one or more dimensions.
Implementations of ChannelProvider that manipulate the intensity-values of the voxels of a Channel's voxels.
Implementations of ChannelProvider that involve conversion from or application of Masks.
Implementations of ChannelProvider that involve conversion from or application of ObjectMasks.
Implementations of ChannelProvider that assign a score to particular subregions of a channel.
Implementations of ChannelProvider that process 3D channels slice-by-slice.
Implementations of ColorProvider.
Beans pertaining to Dictionary.
Implementations of DimensionsProvider.
Implementations of HistogramProvider.
Thresholding of intensity values represented in at Histogram.
Implementations of MaskProvider.
Implementations of MaskProvider that combine existing providers.
Implementations of MaskProvider that convert providers of other types to ObjectMasks.
Implementations of MaskProvider that implement morphological operations.
Provides if-else conditions to a MaskProvider.
Implementations of MaskProvider where an ObjectCollection is created by segmenting a Channel.
Implementations of MaskProvider that process 3D masks slice-by-slice.
Implementations of ObjectFilter.
Implementations of ObjectFilter that assess each element in a collection collectively.
Implementations of ObjectFilter that combine two or more other ObjectFilters.
Implementations of ObjectFilter that independently assess each element in a collection.
Implementations of ObjectMatcher.
Implementations of ObjectCollectionProvider.
Implementations of ObjectCollectionProvider involving connected-components.
Implementations of ObjectCollectionProvider involving feature calculation.
Implementations of ObjectCollectionProvider that filter objects.
Implementations of ObjectCollectionProvider involving a Mask.
Implementations of ObjectCollectionProvider involving merging objects together.
Implementations of ObjectCollectionProvider involving morphological operations.
Implementations of ObjectCollectionProvider involving segmentation.
Implementations of ObjectCollectionProvider involving z-slice processing.
Implementations of ObjectCollectionProvider involving splitting objects into smaller objects.
Implementations of SegmentChannelIntoObjects.
Implementation of a Watershed transformation based on Yeong et al. 2009.
Implementations of ScaleCalculator for calculating a scaling-factor from dimensions.
Implementations of BinarySegmentation.
Implementations of StackProvider.
Implementations of StackProvider that color portions of an image.
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.
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 ChannelProvider that call ImageJ.
Non-linear filters using ImageJ that use the statistical moments of the intensity values in the kernel.
Non-linear filters using ImageJ that use the statistical rank of the intensity values in the kernel.
Implementations of MaskProvider that call ImageJ.
Implementations of ObjectCollectionProvider that call ImageJ.
Implementations of ObjectCollectionProvider that call ImageJ to perform segmentation.
Implementations of StackProvider that call ImageJ.
Implementations of Thresholder that call ImageJ.
Implementations of ObjectCollectionProvider.
Implementation of MarkCollectionProvider.
Implementations of StackProvider involving Mark or related classes.
Segmenting a Stack using the ONNX Runtime to produce an ObjectCollection.
Operations involving color-spaces and OpenCV.
Extracting features using OpenCV.
Segmentation of a Stack 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.
Beans that fit or otherwise manipulate sets of points.
Convex hull operations.
Features related to points and fitting points to conics.
Fitting geometric structures to points.
Testing utilities and fixtures with no greater downstream dependency than anchor-experiment or anchor-mpp or anchor-mpp-io.
A mocked feature internally using a feature-calculation.