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XYZ color data on the visual degradation of vegetables.
Arce-Lopera, Carlos; Okajima, Katsunori; Wada, Yuji.
Afiliación
  • Arce-Lopera C; Universidad Icesi, Cali, Colombia.
  • Okajima K; Yokohama National University, Yokohama, Japan.
  • Wada Y; Ritsumeikan University, Kyoto, Japan.
Data Brief ; 28: 105079, 2020 Feb.
Article en En | MEDLINE | ID: mdl-32226816
ABSTRACT
This data article includes the visual stimuli used to model the freshness perception of four different vegetable textures, namely a cabbage, a carrot, a strawberry and a spinach. All four vegetables were optically measured during their degradation process in a humidity, temperature and light controlled environment. The visual data is in csv format for convenient usage. Each data point represents a pixel value using the hardware independent XYZ color space. The total size of the data can be related to an equivalent image of 1360 × 1024 resolution. Additionally, using the calibration data of an LCD-Display, the respective RGB color space images were derived from the XYZ data as an example. For interpretation and discussion, please see the original article entitled "Model of vegetable freshness perception using luminance cues" [1].
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2020 Tipo del documento: Article País de afiliación: Colombia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2020 Tipo del documento: Article País de afiliación: Colombia