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A Focusing Method in the Calibration Process of Image Sensors Based on IOFBs

A focusing procedure in the calibration process of image sensors based on Incoherent Optical Fiber Bundles (IOFBs) is described using the information extracted from fibers. These procedures differ from any other currently known focusing method due to the non spatial in-out correspondence between fib...

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Detalles Bibliográficos
Autores principales: Fernández, Pedro R., Lázaro, José L., Gardel, Alfredo, Cano, Ángel E., Bravo, Ignacio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3270827/
https://www.ncbi.nlm.nih.gov/pubmed/22315526
http://dx.doi.org/10.3390/s100100047
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author Fernández, Pedro R.
Lázaro, José L.
Gardel, Alfredo
Cano, Ángel E.
Bravo, Ignacio
author_facet Fernández, Pedro R.
Lázaro, José L.
Gardel, Alfredo
Cano, Ángel E.
Bravo, Ignacio
author_sort Fernández, Pedro R.
collection PubMed
description A focusing procedure in the calibration process of image sensors based on Incoherent Optical Fiber Bundles (IOFBs) is described using the information extracted from fibers. These procedures differ from any other currently known focusing method due to the non spatial in-out correspondence between fibers, which produces a natural codification of the image to transmit. Focus measuring is essential prior to carrying out calibration in order to guarantee accurate processing and decoding. Four algorithms have been developed to estimate the focus measure; two methods based on mean grey level, and the other two based on variance. In this paper, a few simple focus measures are defined and compared. Some experimental results referred to the focus measure and the accuracy of the developed methods are discussed in order to demonstrate its effectiveness.
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spelling pubmed-32708272012-02-07 A Focusing Method in the Calibration Process of Image Sensors Based on IOFBs Fernández, Pedro R. Lázaro, José L. Gardel, Alfredo Cano, Ángel E. Bravo, Ignacio Sensors (Basel) Article A focusing procedure in the calibration process of image sensors based on Incoherent Optical Fiber Bundles (IOFBs) is described using the information extracted from fibers. These procedures differ from any other currently known focusing method due to the non spatial in-out correspondence between fibers, which produces a natural codification of the image to transmit. Focus measuring is essential prior to carrying out calibration in order to guarantee accurate processing and decoding. Four algorithms have been developed to estimate the focus measure; two methods based on mean grey level, and the other two based on variance. In this paper, a few simple focus measures are defined and compared. Some experimental results referred to the focus measure and the accuracy of the developed methods are discussed in order to demonstrate its effectiveness. Molecular Diversity Preservation International (MDPI) 2009-12-24 /pmc/articles/PMC3270827/ /pubmed/22315526 http://dx.doi.org/10.3390/s100100047 Text en ©2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/)
spellingShingle Article
Fernández, Pedro R.
Lázaro, José L.
Gardel, Alfredo
Cano, Ángel E.
Bravo, Ignacio
A Focusing Method in the Calibration Process of Image Sensors Based on IOFBs
title A Focusing Method in the Calibration Process of Image Sensors Based on IOFBs
title_full A Focusing Method in the Calibration Process of Image Sensors Based on IOFBs
title_fullStr A Focusing Method in the Calibration Process of Image Sensors Based on IOFBs
title_full_unstemmed A Focusing Method in the Calibration Process of Image Sensors Based on IOFBs
title_short A Focusing Method in the Calibration Process of Image Sensors Based on IOFBs
title_sort focusing method in the calibration process of image sensors based on iofbs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3270827/
https://www.ncbi.nlm.nih.gov/pubmed/22315526
http://dx.doi.org/10.3390/s100100047
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