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...
- 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/
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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 |
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info:eu-repo/semantics/article |
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Artículo |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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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 |
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http://hdl.handle.net/10906/79543 |
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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) |
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http://purl.org/coar/access_right/c_abf2 |
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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 |
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Universidad ICESI |
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http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/79543/1/documento.html |
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