Uses of Package
org.anchoranalysis.spatial.box

Package
Description
A pairing of objects from two collections (bipartite matching).
A particular stack used in feature-calculations called a EnergyStack together with related classes.
Non-beans to specify how to form a single-image by spatially combining other images.
Beans to define entities or operate that consider Euclidian space.
Beans to specify how to form a single-image by spatially combining other images.
Aligning a BoundingBox to fit inside another BoundingBox.
Montages images together to completely fill the available space, while preserving aspect ratio.
Combining other images through overlaying.
Combining other images through tiling.
Conversions and operations involving Java AWT's BufferedImage.
The Channel core data-class and related operations and converters.
Classes to describe the size of images or components of images both in voxels and physically.
Suggestions on a size for an image.
An image with only two permissible states.
Merges two or more entities.
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.
Beans to reduce the number of results that are returned from inference, by removing overlaping entities etc.
Non-bean classes to reduce the number of results that are returned from inference, by removing overlapping entities etc.
Non-beans pertaining to segmentation of images via model inference.
How to represent an object-mask in a raster that is being drawn.
Beans to combine multiple stacks into a single stack before outputting.
Non-bean classes for reading / writing a Stack from and to the filesystem.
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.
The BinaryVoxels class and related operations.
A buffer of voxel-values, usually corresponding to a single z-slice in Voxels.
A container with voxel-buffers for each z-slice.
Converts anchor data-structures to those used by ImgLib2.
Methods to read/copy/duplicate portions of voxels.
Methods to find or count voxels that satisfy a predicate.
Creates new instances of Voxels and VoxelsUntyped with specific data-types.
Utilities to iterate over voxel-locations in images and sub-regions of images.
Iterating over a point's neighboring voxels.
Routines for moving a KernelPointCursor around the neighboring voxels of the point.
Applying a kernel via convolution to voxels.
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.
Classes for calculating differnet kind of projections of voxel values across multiple buffers.
Classes for performing both a Maximum Intensity Projection and a minimum projection.
Different interpolator methods to use when scaling voxels.
Converts the byte stream opened by Bioformats into channels of particular data-type.
Reading metadata information from files using EXIF and/or other metadata headers.
Converts to and from ImageJ data-structures for images.
Image interpolation when scaling using ImageJ.
Non-bean classes related to Marks.
Marks implementing conic sections.
Marks implementing structures based on points.
A mark after a voxel-representation has been inferred.
Any Overlay related to a Mark.
Overlays and related classes involving drawing entities on top of an image.
Beans relating to drawing an Overlay on an image.
Collections of Overlays.
An implementation of an Overlay that draws an ObjectMask on an image.
Implementations of ObjectCollectionProvider involving morphological operations.
Strategies for reducing the number of elements with a list by merging/removing lower-confidence elements that overlap.
Implementations of ThumbnailFromObjects.
Features from combinations of ObjectMasks.
Features that calculate how many other objects an ObjectMask directly neighbors.
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 CalculationPart that that process a single ObjectMask.
Implementations of CalculationPart that that process a single ObjectMask - with morphological operations.
Encoding voxels in a watershed-transformation implementation.
Non-bean classes pertaining to determining the size of an image.
Non-bean classes pertaining to combining stacks into a single stack.
Non-bean classes to help use multiple files to represent a single Stack.
Extracting features using OpenCV.
Conversion to/from OpenCV data-structures.
Interpolation non-beans that use OpenCV.
Axis-aligned bounding-boxes and related operations.
R-Tree data structure and related operations.
How to much to scale an entity in Cartesian space by.
Testing utilities and fixtures with no greater downstream dependency than anchor-image-io or anchor-io-bioformats or anchor-imagej.
Fixtures for creating object-masks.
Fixtures or other helper classes for testing image segmentation algorithms.