Uses of Package
org.anchoranalysis.image.voxel

Package
Description
Base classes to perform binary-segmentation.
Base classes for thresholding and calculating levels for thresholding.
Conversions and operations involving Java AWT's BufferedImage.
The Channel core data-class and related operations and converters.
Factory classes for creating Channel for various voxel data-types.
An image with only two permissible states.
Binary operations involving voxelwise combination of Mask.
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.
Defines the key data object, Stack, and related classes.
Non-beans pertaining to segmentation of images via model inference.
Data-structures to store and manipulate image raster-data or 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.
Converting Voxels to different data-types.
Converts anchor data-structures to the BufferedImage used by Java's AWT.
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.
Like org.anchoranalysis.image.voxel.iterator but refers to iterators that operation over the intersecting regions of two entities.
Applying a kernel via convolution to voxels.
The fundamental data class that is an ObjectMask and related structures.
Classes for calculating differnet kind of projections of voxel values across multiple buffers.
Different interpolator methods to use when scaling voxels.
Statistics about aggregated voxel intensities.
Thresholding operations on voxels.
Converts the byte stream opened by Bioformats into channels of particular data-type.
Converts to and from ImageJ data-structures for images.
A mark after a voxel-representation has been inferred.
Calculating overlaps between two Marks.
Morphological grayscale-reconstruction algorithm.
Euclidean Distance Transform implementations via FIJI.
Implementations of Thresholder that use FIJI.
Filters that perform blurring.
Grayscale reconstruction to support the Watershed transformation.
Implementations of BinarySegmentation.
Non-beans pertaining to segmenting a z-stack slice-by-slice.
Encoding voxels in a watershed-transformation implementation.
Implementations of Thresholder that call ImageJ.
Conversion to/from OpenCV data-structures.
Testing utilities and fixtures with no greater downstream dependency than anchor-image-io or anchor-io-bioformats or anchor-imagej.