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/
Description
Summary: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.