Uses of Package
org.anchoranalysis.image.voxel.object

Package
Description
A pairing of objects from two collections (bipartite matching).
Generates output images to illustrate a Assignment between annotations.
What to compare an annotation (ground truth) against?
Annotations that use one or more marks to describe entities in an image.
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.
Base classes to perform binary-segmentation.
Base classes to segment a channel into objects.
The Channel core data-class and related operations and converters.
Finds outline voxels, the pixels on the contour/edge of the object.
An image with only two permissible states.
Merges two or more entities.
The key data entity org.anchoranalysis.image.voxel.object and related-classes and operations.
Labelling elements (object-masks or similar) with unique successive integers in a channel.
An ObjectCollection with associated key-value pairs.
Scaling object-collections, or lists of elements with object-representations.
Operations that extract points from image data entities or vice versa.
Defines the key data object, Stack, and related classes.
Image-related implementations of FeatureInput.
Beans to reduce the number of results that are returned from inference, by removing overlaping entities etc.
Non-beans pertaining to segmentation of images via model inference.
Non-bean classes for reading an ObjectCollection from the filesystem.
Writing an ObjectCollection to the filesystem as a single-channeled stack.
Writing an ObjectCollection to the filesystem in HDF5 format.
Writing an ObjectCollection to the filesystem as multiple binary singled-channeled images.
Base classes for generators that ultimately write only a bounding-box portion of a Stack to the filesystem.
Data-structures to store and manipulate image raster-data or voxels.
Arithmetic operations for Voxels.
Assigns values to some or all voxels.
Methods to read/copy/duplicate portions of voxels.
Methods to find or count voxels that satisfy a predicate.
Utilities to iterate over voxel-locations in images and sub-regions of images.
Like org.anchoranalysis.image.voxel.iterator but refers to iterators that operation over the intersecting regions of two entities.
Iterating over a point's neighboring voxels.
Kernels to count the number of voxels that are equal to a particular value.
A region in proximity to a voxel, encompassing this voxel as well as others.
The fundamental data class that is an ObjectMask and related structures.
Thresholding operations on voxels.
Non-beans for reading data structures related to marked point processes from the file system.
Non-bean classes related to Marks.
An implementation of an Overlay that draws an ObjectMask on an image.
Comparing the similarity of annotations from two images to each other.
Task to compare a set of annotations to a segmentation or another set of annotations.
Pairs annotations from two different sets, creating an assignment of some type.
Non-bean classes for comparing two sets of annotations.
Utility classes for counting images incrementally.
Morphological grayscale-reconstruction algorithm.
Implementations of ChannelProvider that are generic base-classes or otherwise abstract or general.
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 ObjectMasks.
Implementations of ChannelProvider that assign a score to particular subregions of a channel.
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.
Minima imposition for a Watershed transformation.
Grayscale reconstruction to support the Watershed transformation.
Implementation of a Watershed transformation based on Yeong et al. 2009.
Strategies for reducing the number of elements with a list by merging/removing lower-confidence elements that overlap.
Implementations of BinarySegmentation.
Implementations of StackProvider that color portions of an image.
Implementations of ThumbnailFromObjects.
Features from combinations of 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 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 implement morphological operations.
Implementations of FeatureSingleObject that use SharedObjects for calculations, and measure the degree of intersection between objects.
Implementations of CalculationPart that that process a single ObjectMask.
Implementations of CalculationPart that that process a single ObjectMask - with morphological operations.
Non-bean for operations or calculations relating to intensity.
Non-beans for calculating a thresholding level from itensity values.
Non-beans pertaining to ObjectMasks.
Merging ObjectMasks.
Conditions for merging ObjectMasks.
Assigning priority when merging ObjectMasks.
Non-beans pertaining to segmenting a z-stack slice-by-slice.
Encoding voxels in a watershed-transformation implementation.
Non-beans for calculating Features.
Implementations of ObjectCollectionProvider that call ImageJ.
Implementations of ObjectCollectionProvider that call ImageJ to perform segmentation.
Implementations of ObjectCollectionProvider.
Implementations of StackProvider involving Mark or related classes.
Plugins that call OpenCV.
Conversion to/from OpenCV data-structures.
Beans that fit or otherwise manipulate sets of points.
Fitting geometric structures to points.
CalculationPart related to fitting ellipses to points by least-squares.
CalculationPart related to fitting ellipsoids to points by least-squares.
Non-bean convex hull operations.
Fixtures for creating object-masks and related feature-inputs.
Testing utilities and fixtures with no greater downstream dependency than anchor-image-io or anchor-io-bioformats or anchor-imagej.
Utilities for testing-related reading and writing to the filesystem.
Fixtures for creating object-masks.