Difference between revisions of "Registration"

(Start of page re-make... adding table with recommended plugins/tools for registration)
(Recommended ImageJ Plugins for Registration: Adding Linear Stack Alignment with SIFT tool)
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* The extracted sets of corresponding landmarks and the calculated transformations are used in [https://imagej.net/TrakEM2 TrakEM2], [https://imagej.net/Register_Virtual_Stack_Slices Register Virtual Stack Slices] and [https://imagej.net/BUnwarpJ BUnwarpJ] for image registration.
 
* The extracted sets of corresponding landmarks and the calculated transformations are used in [https://imagej.net/TrakEM2 TrakEM2], [https://imagej.net/Register_Virtual_Stack_Slices Register Virtual Stack Slices] and [https://imagej.net/BUnwarpJ BUnwarpJ] for image registration.
 
|[[File:Tem-42-33-f.png|500px]] MOPS feature correspondences (example 1)
 
|[[File:Tem-42-33-f.png|500px]] MOPS feature correspondences (example 1)
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|[https://imagej.net/Linear_Stack_Alignment_with_SIFT Linear Stack Alignment with SIFT]
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|A tool for aligning image stacks
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* A lightweight SIFT-implementation for Java after the paper of David Lowe<ref>{{cite journal |author=Lowe D | title=Distinctive Image Features from Scale-Invariant Keypoints | journal=International Journal of Computer Vision | year=2004 | volume=60 | number=2 | pages=91-110}}</ref>.
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|[https://imagej.net/BUnwarpJ BUnwarpJ]
 
|[https://imagej.net/BUnwarpJ BUnwarpJ]

Revision as of 15:21, 27 November 2018



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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 and export them as PointRoi. 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 registration, essentially an algorithm 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 user manual
BUnwarpJ 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