Uses of Package
org.anchoranalysis.spatial.point

Package
Description
Beans to define entities or operate that consider Euclidian space.
Aligning a BoundingBox to fit inside another BoundingBox.
Converting quantities of distance between units.
Classes to describe the size of images or components of images both in voxels and physically.
An image with only two permissible states.
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.
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.
Non-bean classes for reading / writing an ObjectCollection from and to the filesystem.
Data-structures to store and manipulate image raster-data or voxels.
Assigns values to some or all voxels.
The BinaryVoxels class and related operations.
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.
Routines for moving a KernelPointCursor around the neighboring voxels of the point.
Functional-interfaces for processing different combinations of points and buffers that return a boolean.
Functional-interfaces for processing different combinations of points and buffers that do not return a value.
Functional-interfaces for processing different combinations of points and raw buffers, but not VoxelBuffer.
Functional-interfaces for processing different combinations of points and VoxelBuffer but not raw buffers.
Applying a kernel via convolution to voxels.
Kernels to count the number of voxels that are equal to a particular value.
Kernels that apply morphological operations.
The fundamental data class that is an ObjectMask and related structures.
Fitting structures to sets of points.
Proposing Marks or other data-structures with particular attributes.
Non-bean classes related to Marks.
Marks implementing conic sections.
Marks implementing structures based on points.
Non-bean classes for proposing Marks or other data-structures with particular attributes.
Implementations of MaskProvider that implement morphological operations.
Implementations of FeatureSingleObject that consider an object's bounding-box.
Implementations of FeatureSingleObject that measure an object's gradient from corresponding Channels storing the gradient.
Non-beans for calculating a thresholding level from itensity values.
Encoding voxels in a watershed-transformation implementation.
Plugins that call OpenCV.
Fitting geometric structures to points.
CalculationPart related to fitting ellipsoids to points by least-squares.
Non-bean convex hull operations.
Axis-aligned bounding-boxes and related operations.
Various methods to specify the orientation (general direction) of an entity.
A cartesian-coordinate, across varying primitive types, in 2D and 3D space.
Functional interfaces that accept cartesian coordinate points specified in different ways.
R-Tree data structure and related operations.
How to much to scale an entity in Cartesian space by.
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.
Fixtures for creating object-masks.