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Spectral Characterization of a Prototype SFA Camera for Joint Visible and NIR Acquisition

Multispectral acquisition improves machine vision since it permits capturing more information on object surface properties than color imaging. The concept of spectral filter arrays has been developed recently and allows multispectral single shot acquisition with a compact camera design. Due to filte...

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Detalles Bibliográficos
Autores principales: Thomas, Jean-Baptiste, Lapray, Pierre-Jean, Gouton, Pierre, Clerc, Cédric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969836/
https://www.ncbi.nlm.nih.gov/pubmed/27367690
http://dx.doi.org/10.3390/s16070993
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author Thomas, Jean-Baptiste
Lapray, Pierre-Jean
Gouton, Pierre
Clerc, Cédric
author_facet Thomas, Jean-Baptiste
Lapray, Pierre-Jean
Gouton, Pierre
Clerc, Cédric
author_sort Thomas, Jean-Baptiste
collection PubMed
description Multispectral acquisition improves machine vision since it permits capturing more information on object surface properties than color imaging. The concept of spectral filter arrays has been developed recently and allows multispectral single shot acquisition with a compact camera design. Due to filter manufacturing difficulties, there was, up to recently, no system available for a large span of spectrum, i.e., visible and Near Infra-Red acquisition. This article presents the achievement of a prototype of camera that captures seven visible and one near infra-red bands on the same sensor chip. A calibration is proposed to characterize the sensor, and images are captured. Data are provided as supplementary material for further analysis and simulations. This opens a new range of applications in security, robotics, automotive and medical fields.
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spelling pubmed-49698362016-08-04 Spectral Characterization of a Prototype SFA Camera for Joint Visible and NIR Acquisition Thomas, Jean-Baptiste Lapray, Pierre-Jean Gouton, Pierre Clerc, Cédric Sensors (Basel) Article Multispectral acquisition improves machine vision since it permits capturing more information on object surface properties than color imaging. The concept of spectral filter arrays has been developed recently and allows multispectral single shot acquisition with a compact camera design. Due to filter manufacturing difficulties, there was, up to recently, no system available for a large span of spectrum, i.e., visible and Near Infra-Red acquisition. This article presents the achievement of a prototype of camera that captures seven visible and one near infra-red bands on the same sensor chip. A calibration is proposed to characterize the sensor, and images are captured. Data are provided as supplementary material for further analysis and simulations. This opens a new range of applications in security, robotics, automotive and medical fields. MDPI 2016-06-28 /pmc/articles/PMC4969836/ /pubmed/27367690 http://dx.doi.org/10.3390/s16070993 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Thomas, Jean-Baptiste
Lapray, Pierre-Jean
Gouton, Pierre
Clerc, Cédric
Spectral Characterization of a Prototype SFA Camera for Joint Visible and NIR Acquisition
title Spectral Characterization of a Prototype SFA Camera for Joint Visible and NIR Acquisition
title_full Spectral Characterization of a Prototype SFA Camera for Joint Visible and NIR Acquisition
title_fullStr Spectral Characterization of a Prototype SFA Camera for Joint Visible and NIR Acquisition
title_full_unstemmed Spectral Characterization of a Prototype SFA Camera for Joint Visible and NIR Acquisition
title_short Spectral Characterization of a Prototype SFA Camera for Joint Visible and NIR Acquisition
title_sort spectral characterization of a prototype sfa camera for joint visible and nir acquisition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969836/
https://www.ncbi.nlm.nih.gov/pubmed/27367690
http://dx.doi.org/10.3390/s16070993
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