Luminance distribution as a determinant for visual freshness perception: Evidence from image analysis of a cabbage leaf

Freshness perception influences consumer behavior when selecting and purchasing fresh foods, such as vegetables and fruits. Although previous research has emphasized the importance of vision when assessing freshness, it remains unknown what specific visual cues control this perception. To investigat...

Full description

Autores:
Carlos Alberto, Arce Lopera
Tipo de recurso:
Article of investigation
Fecha de publicación:
2013
Institución:
Universidad ICESI
Repositorio:
Repositorio ICESI
Idioma:
eng
OAI Identifier:
oai:repository.icesi.edu.co:10906/79543
Acceso en línea:
http://www.sciencedirect.com/science/article/pii/S0950329312000511
http://hdl.handle.net/10906/79543
Palabra clave:
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
id ICESI2_7800bd97415839c698f3519a122e1bf8
oai_identifier_str oai:repository.icesi.edu.co:10906/79543
network_acronym_str ICESI2
network_name_str Repositorio ICESI
repository_id_str
spelling Carlos Alberto, Arce Lopera2016-06-29T02:01:13Z2016-06-29T02:01:13Z2013-03-0110.1016/j.foodqual.2012.03.0051340-6000http://www.sciencedirect.com/science/article/pii/S0950329312000511http://hdl.handle.net/10906/79543instname: Universidad Icesireponame: Biblioteca Digitalrepourl: https://repository.icesi.edu.co/Freshness perception influences consumer behavior when selecting and purchasing fresh foods, such as vegetables and fruits. Although previous research has emphasized the importance of vision when assessing freshness, it remains unknown what specific visual cues control this perception. To investigate which optical parameters are involved in our freshness perception in vegetables, we took digital pictures of the freshness degradation process of cabbages in a controlled environment. Then, we randomly presented color and grayscale versions of those pictures to subjects who had to rate their perceived freshness using a visual analog scale. The results of the freshness perception for both versions of the stimuli were highly correlated proving that using luminance information alone suffices for an accurate estimation of freshness. Moreover, we digitally manipulated the original images only by modifying their luminance distribution and keeping intact their color information. When we presented the resulting images, using the same psycho-physical experimental setting, the subject’s results showed that the perceived freshness also changed concordantly with the changes of the luminance distribution. These results support the hypothesis that the freshness perception of vegetables is highly influenced by the luminance distribution present in that food texture. Furthermore, we propose a model using image and band-pass filter statistics that fitted our results. These findings not only can help design implementations of automatic non-invasive food freshness estimators for the food industry but also represent a way to understand cognitive quality measurements which can be related closely to human perception.engFood Quality and Preference, Vol. 27, No. 2 - 2013EL 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 fuente, 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_abf2Luminance distribution as a determinant for visual freshness perception: Evidence from image analysis of a cabbage leafinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1Artículoinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85272202207ORIGINALdocumento.htmldocumento.htmltext/html300http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/79543/1/documento.html9891f75b93b955721d982053e739d82aMD5110906/79543oai:repository.icesi.edu.co:10906/795432020-05-26 16:58:05.78Biblioteca Digital - Universidad icesicdcriollo@icesi.edu.co
dc.title.eng.fl_str_mv Luminance distribution as a determinant for visual freshness perception: Evidence from image analysis of a cabbage leaf
title Luminance distribution as a determinant for visual freshness perception: Evidence from image analysis of a cabbage leaf
spellingShingle Luminance distribution as a determinant for visual freshness perception: Evidence from image analysis of a cabbage leaf
title_short Luminance distribution as a determinant for visual freshness perception: Evidence from image analysis of a cabbage leaf
title_full Luminance distribution as a determinant for visual freshness perception: Evidence from image analysis of a cabbage leaf
title_fullStr Luminance distribution as a determinant for visual freshness perception: Evidence from image analysis of a cabbage leaf
title_full_unstemmed Luminance distribution as a determinant for visual freshness perception: Evidence from image analysis of a cabbage leaf
title_sort Luminance distribution as a determinant for visual freshness perception: Evidence from image analysis of a cabbage leaf
dc.creator.fl_str_mv Carlos Alberto, Arce Lopera
dc.contributor.author.spa.fl_str_mv Carlos Alberto, Arce Lopera
description Freshness perception influences consumer behavior when selecting and purchasing fresh foods, such as vegetables and fruits. Although previous research has emphasized the importance of vision when assessing freshness, it remains unknown what specific visual cues control this perception. To investigate which optical parameters are involved in our freshness perception in vegetables, we took digital pictures of the freshness degradation process of cabbages in a controlled environment. Then, we randomly presented color and grayscale versions of those pictures to subjects who had to rate their perceived freshness using a visual analog scale. The results of the freshness perception for both versions of the stimuli were highly correlated proving that using luminance information alone suffices for an accurate estimation of freshness. Moreover, we digitally manipulated the original images only by modifying their luminance distribution and keeping intact their color information. When we presented the resulting images, using the same psycho-physical experimental setting, the subject’s results showed that the perceived freshness also changed concordantly with the changes of the luminance distribution. These results support the hypothesis that the freshness perception of vegetables is highly influenced by the luminance distribution present in that food texture. Furthermore, we propose a model using image and band-pass filter statistics that fitted our results. These findings not only can help design implementations of automatic non-invasive food freshness estimators for the food industry but also represent a way to understand cognitive quality measurements which can be related closely to human perception.
publishDate 2013
dc.date.issued.none.fl_str_mv 2013-03-01
dc.date.accessioned.none.fl_str_mv 2016-06-29T02:01:13Z
dc.date.available.none.fl_str_mv 2016-06-29T02:01:13Z
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
dc.type.version.eng.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
format http://purl.org/coar/resource_type/c_2df8fbb1
status_str publishedVersion
dc.identifier.none.fl_str_mv 10.1016/j.foodqual.2012.03.005
dc.identifier.issn.none.fl_str_mv 1340-6000
dc.identifier.other.eng.fl_str_mv http://www.sciencedirect.com/science/article/pii/S0950329312000511
dc.identifier.uri.eng.fl_str_mv http://hdl.handle.net/10906/79543
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 10.1016/j.foodqual.2012.03.005
1340-6000
instname: Universidad Icesi
reponame: Biblioteca Digital
repourl: https://repository.icesi.edu.co/
url http://www.sciencedirect.com/science/article/pii/S0950329312000511
http://hdl.handle.net/10906/79543
dc.language.iso.eng.fl_str_mv eng
language eng
dc.relation.ispartof.eng.fl_str_mv Food Quality and Preference, Vol. 27, No. 2 - 2013
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.eng.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
institution Universidad ICESI
bitstream.url.fl_str_mv http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/79543/1/documento.html
bitstream.checksum.fl_str_mv 9891f75b93b955721d982053e739d82a
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Biblioteca Digital - Universidad icesi
repository.mail.fl_str_mv cdcriollo@icesi.edu.co
_version_ 1811668477396647936