Model of vegetable freshness perception using luminance cues

Freshness perception is a quality discrimination process that influences our consumer choice and eating behavior, especially of highly perishable products such as vegetables. Previous research used photographic stimuli to investigate the relationship between luminance distribution and freshness perc...

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Autores:
Arce Lopera, Carlos Alberto
Tipo de recurso:
Article of investigation
Fecha de publicación:
2015
Institución:
Universidad ICESI
Repositorio:
Repositorio ICESI
Idioma:
spa
OAI Identifier:
oai:repository.icesi.edu.co:10906/78334
Acceso en línea:
http://www.scopus.com/inward/record.url?eid=2-s2.0-84911977881&partnerID=tZOtx3y1
http://hdl.handle.net/10906/78334
https://doi.org/10.1016/j.foodqual.2014.06.010
Palabra clave:
Análisis de imagen
Estadísticas
Vegetales
Percepción visual de frescura
Distribución de luminancia
Visual freshness perception
Luminance distribution
Image analysis
Statistics
Vegetables
Automatización y sistemas de control
Automation
Control system
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
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oai_identifier_str oai:repository.icesi.edu.co:10906/78334
network_acronym_str ICESI2
network_name_str Repositorio ICESI
repository_id_str
spelling Arce Lopera, Carlos Albertoarcelopera.carlos@gmail.comAmsterdam de Lat: 52 21 00 N degrees minutes Lat: 52.3500 decimal degrees Long: 004 55 00 E degrees minutes Long: 4.9167 decimal degrees2015-09-30T22:24:06Z2015-09-30T22:24:06Z2015-03-010950-3293http://www.scopus.com/inward/record.url?eid=2-s2.0-84911977881&partnerID=tZOtx3y1http://hdl.handle.net/10906/78334https://doi.org/10.1016/j.foodqual.2014.06.010instname: Universidad Icesireponame: Biblioteca Digitalrepourl: https://repository.icesi.edu.co/Freshness perception is a quality discrimination process that influences our consumer choice and eating behavior, especially of highly perishable products such as vegetables. Previous research used photographic stimuli to investigate the relationship between luminance distribution and freshness perception for a cabbage leaf (C. Arce-Lopera, Masuda, Kimura, et al., 2013) and a strawberry (Carlos Arce-Lopera, Masuda, Kimura, Wada, & Okajima, 2012). In this study, the luminance and chromatic information of the freshness degradation process of four different vegetables (cabbage, strawberry, carrot and spinach) was recorded in a temperature, humidity and light controlled environment. However, instead of a camera, a 2D luminance and chromaticity analyzer (TOPCON UA1000) was chosen as the measurement equipment.7 páginasDigitalapplication/pdfspaElsevier LtdAmsterdamFood Quality and Preference, Vol. 40, No. PB - 2015EL AUTOR, expresa que la obra objeto de la presente autorización es original y la elaboró sin quebrantar ni suplantar los derechos de autor de terceros, y de tal forma, la obra es de su exclusiva autoría y tiene la titularidad sobre éste. PARÁGRAFO: en caso de queja o acción por parte de un tercero referente a los derechos de autor sobre el artículo, folleto o libro en cuestión, EL AUTOR, asumirá la responsabilidad total, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos, la Universidad Icesi actúa como un tercero de buena fe. Esta autorización, permite a la Universidad Icesi, de forma indefinida, para que en los términos establecidos en la Ley 23 de 1982, la Ley 44 de 1993, leyes y jurisprudencia vigente al respecto, haga publicación de este con fines educativos. Toda persona que consulte ya sea la biblioteca o en medio electrónico podrá copiar apartes del texto citando siempre la fuentes, es decir el título del trabajo y el autor.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Análisis de imagenEstadísticasVegetalesPercepción visual de frescuraDistribución de luminanciaVisual freshness perceptionLuminance distributionImage analysisStatisticsVegetablesAutomatización y sistemas de controlAutomationControl systemModel of vegetable freshness perception using luminance cuesinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1Artículoinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Comunidad Universidad Icesi – Investigadores40279286ORIGINALdocumento.htmldocumento.htmltext/html302http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/78334/1/documento.html21c85e23eb20360676544bf662249fccMD5110906/78334oai:repository.icesi.edu.co:10906/783342018-11-22 11:04:46.668Biblioteca Digital - Universidad icesicdcriollo@icesi.edu.co
dc.title.spa.fl_str_mv Model of vegetable freshness perception using luminance cues
title Model of vegetable freshness perception using luminance cues
spellingShingle Model of vegetable freshness perception using luminance cues
Análisis de imagen
Estadísticas
Vegetales
Percepción visual de frescura
Distribución de luminancia
Visual freshness perception
Luminance distribution
Image analysis
Statistics
Vegetables
Automatización y sistemas de control
Automation
Control system
title_short Model of vegetable freshness perception using luminance cues
title_full Model of vegetable freshness perception using luminance cues
title_fullStr Model of vegetable freshness perception using luminance cues
title_full_unstemmed Model of vegetable freshness perception using luminance cues
title_sort Model of vegetable freshness perception using luminance cues
dc.creator.fl_str_mv Arce Lopera, Carlos Alberto
dc.contributor.author.spa.fl_str_mv Arce Lopera, Carlos Alberto
dc.subject.spa.fl_str_mv Análisis de imagen
Estadísticas
Vegetales
Percepción visual de frescura
Distribución de luminancia
Visual freshness perception
Luminance distribution
Image analysis
Statistics
Vegetables
Automatización y sistemas de control
Automation
Control system
topic Análisis de imagen
Estadísticas
Vegetales
Percepción visual de frescura
Distribución de luminancia
Visual freshness perception
Luminance distribution
Image analysis
Statistics
Vegetables
Automatización y sistemas de control
Automation
Control system
description Freshness perception is a quality discrimination process that influences our consumer choice and eating behavior, especially of highly perishable products such as vegetables. Previous research used photographic stimuli to investigate the relationship between luminance distribution and freshness perception for a cabbage leaf (C. Arce-Lopera, Masuda, Kimura, et al., 2013) and a strawberry (Carlos Arce-Lopera, Masuda, Kimura, Wada, & Okajima, 2012). In this study, the luminance and chromatic information of the freshness degradation process of four different vegetables (cabbage, strawberry, carrot and spinach) was recorded in a temperature, humidity and light controlled environment. However, instead of a camera, a 2D luminance and chromaticity analyzer (TOPCON UA1000) was chosen as the measurement equipment.
publishDate 2015
dc.date.accessioned.none.fl_str_mv 2015-09-30T22:24:06Z
dc.date.available.none.fl_str_mv 2015-09-30T22:24:06Z
dc.date.issued.none.fl_str_mv 2015-03-01
dc.type.eng.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.local.spa.fl_str_mv Artículo
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dc.identifier.issn.none.fl_str_mv 0950-3293
dc.identifier.other.spa.fl_str_mv http://www.scopus.com/inward/record.url?eid=2-s2.0-84911977881&partnerID=tZOtx3y1
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10906/78334
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.foodqual.2014.06.010
dc.identifier.instname.none.fl_str_mv instname: Universidad Icesi
dc.identifier.reponame.none.fl_str_mv reponame: Biblioteca Digital
dc.identifier.repourl.none.fl_str_mv repourl: https://repository.icesi.edu.co/
identifier_str_mv 0950-3293
instname: Universidad Icesi
reponame: Biblioteca Digital
repourl: https://repository.icesi.edu.co/
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84911977881&partnerID=tZOtx3y1
http://hdl.handle.net/10906/78334
https://doi.org/10.1016/j.foodqual.2014.06.010
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.ispartof.none.fl_str_mv Food Quality and Preference, Vol. 40, No. PB - 2015
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.license.none.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.coar.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 7 páginas
dc.format.medium.none.fl_str_mv Digital
dc.format.mimetype.none.fl_str_mv application/pdf
dc.coverage.spatial.none.fl_str_mv Amsterdam de Lat: 52 21 00 N degrees minutes Lat: 52.3500 decimal degrees Long: 004 55 00 E degrees minutes Long: 4.9167 decimal degrees
dc.publisher.spa.fl_str_mv Elsevier Ltd
dc.publisher.place.none.fl_str_mv Amsterdam
institution Universidad ICESI
bitstream.url.fl_str_mv http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/78334/1/documento.html
bitstream.checksum.fl_str_mv 21c85e23eb20360676544bf662249fcc
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Biblioteca Digital - Universidad icesi
repository.mail.fl_str_mv cdcriollo@icesi.edu.co
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