Color determination in tomato epicarp using Computer Vision System during ripening

 

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Detalles Bibliográficos
Autores: Padrón Pereira, Carlos Alberto, Padrón León, Gisel Marié, Montes Hernández, Adriana Isabel, Oropeza González, Rafael Antonio
Formato: artículo original
Estado:Versión publicada
Fecha de Publicación:2025
Descripción:The evolution of color in tomatoes samples, during ripening under refrigeration or at room temperature, was studied by Computer Vision System (CVS). CVS consisted in a lighted stage, a CCD digital camera and a computer (Laptop), all calibrated. The digital processing of images was performed with the Adobe® Photoshop® CS3 Extended software, with which averaged images on L*, a* and b* coordinates were obtained. The proceeding tested, using CVS, allowed to study the variations of color during the ripening of tomatoes from images, by means of rectangular coordinates (L*, a*, b*). The ratio a*/b* and polar coordinates (c*, ho), showing statistically significant differences between samples determined (p<0,05).
País:Portal de Revistas UCR
Institución:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Lenguaje:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/9969
Acceso en línea:https://revistas.ucr.ac.cr/index.php/agrocost/article/view/9969
Palabra clave:espacios de color
lycopersicum esculentum mill.
medición del color en tomates
photoshop®
técnicas de procesamiento de imágenes
color spaces
image processing techniques
measurement of color in tomatoes