An Iterative Image Registration Algorithm by Optimizing Similarity Measurement

A new registration algorithm based on Newton-Raphson iteration is proposed to align images with rigid body transformation. A set of transformation parameters consisting of translation in x and y and rotation angle around z is calculated by optimizing a specified similarity metric using the Newton-Ra...

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Detalles Bibliográficos
Autores principales: Chu, Wei, Ma, Li, Song, John, Vorburger, Theodore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2010
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548524/
https://www.ncbi.nlm.nih.gov/pubmed/27134776
http://dx.doi.org/10.6028/jres.115.001
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author Chu, Wei
Ma, Li
Song, John
Vorburger, Theodore
author_facet Chu, Wei
Ma, Li
Song, John
Vorburger, Theodore
author_sort Chu, Wei
collection PubMed
description A new registration algorithm based on Newton-Raphson iteration is proposed to align images with rigid body transformation. A set of transformation parameters consisting of translation in x and y and rotation angle around z is calculated by optimizing a specified similarity metric using the Newton-Raphson method. This algorithm has been tested by registering and correlating pairs of topography measurements of nominally identical NIST Standard Reference Material (SRM 2461) standard cartridge cases, and very good registration accuracy has been obtained.
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spelling pubmed-45485242016-04-29 An Iterative Image Registration Algorithm by Optimizing Similarity Measurement Chu, Wei Ma, Li Song, John Vorburger, Theodore J Res Natl Inst Stand Technol Article A new registration algorithm based on Newton-Raphson iteration is proposed to align images with rigid body transformation. A set of transformation parameters consisting of translation in x and y and rotation angle around z is calculated by optimizing a specified similarity metric using the Newton-Raphson method. This algorithm has been tested by registering and correlating pairs of topography measurements of nominally identical NIST Standard Reference Material (SRM 2461) standard cartridge cases, and very good registration accuracy has been obtained. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2010 2010-02-01 /pmc/articles/PMC4548524/ /pubmed/27134776 http://dx.doi.org/10.6028/jres.115.001 Text en https://creativecommons.org/publicdomain/zero/1.0/ The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Article
Chu, Wei
Ma, Li
Song, John
Vorburger, Theodore
An Iterative Image Registration Algorithm by Optimizing Similarity Measurement
title An Iterative Image Registration Algorithm by Optimizing Similarity Measurement
title_full An Iterative Image Registration Algorithm by Optimizing Similarity Measurement
title_fullStr An Iterative Image Registration Algorithm by Optimizing Similarity Measurement
title_full_unstemmed An Iterative Image Registration Algorithm by Optimizing Similarity Measurement
title_short An Iterative Image Registration Algorithm by Optimizing Similarity Measurement
title_sort iterative image registration algorithm by optimizing similarity measurement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548524/
https://www.ncbi.nlm.nih.gov/pubmed/27134776
http://dx.doi.org/10.6028/jres.115.001
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