Registration

Revision as of 13:21, 29 November 2018 by Etarena (talk | contribs) (Recommended ImageJ Plugins for Registration: Add Register Virtual Stack Slices)



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What is Registration?

Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, times, depths, or viewpoints. It is used in computer vision, medical imaging, biological imaging and brain mapping, military automatic target recognition, and compiling and analyzing images and data from satellites. Registration is necessary in order to be able to compare or integrate the data obtained from these different measurements.

Recommended ImageJ Plugins for Registration

Here we summarize some of the Registration plugins in ImageJ.

Plugin Name Short Description Highlights Plugin Snapshot
Feature Extraction A tool for identifying a set of corresponding points of interest in two images Tem-42-33-f.png MOPS feature correspondences (example 1)
Linear Stack Alignment with SIFT A tool for aligning image stacks
  • A lightweight SIFT-implementation for Java after the paper of David Lowe[1].
BUnwarpJ A tool for elastic and consistent image registration
  • Performs 2D image registration based on elastic deformations represented by B-splines
  • Invertibility of the deformations is enforced through a consistency restriction
  • Get started with the detailed BUnwarpJ user manual
BUnwarpJ scheme.png
TrakEM2 A tool for morphological data mining, three-dimensional modeling and image stitching, registration, editing and annotation Trakem2-snap.jpg
Register Virtual Stack Slices A tool that takes a sequence of image slices stored in a folder and delivers a list of registered image slices
  • The plugin can perform 6 types of image registration techniques: Translation, Rigid (translation + rotation), Similarity (translation + rotation + isotropic scaling), Affine, Elastic (via BUnwarpJ with cubic B-splines), and Moving least squares
  • All models are aided by automatically extracted SIFT features
Rvs scheme.png

Other pages and tools for Registration in ImageJ

See Category:Registration for other ImageJ pages and tools about image registration.
  1. Lowe D (2004), "Distinctive Image Features from Scale-Invariant Keypoints", International Journal of Computer Vision 60 (2): 91-110