- -

Development of a hyperspectral computer vision system based on two liquid crystal tuneable filters for fruit inspection. Application to detect citrus fruits decay

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Development of a hyperspectral computer vision system based on two liquid crystal tuneable filters for fruit inspection. Application to detect citrus fruits decay

Show full item record

Gomez-Sanchis, J.; Lorente, D.; Soria Olivas, E.; Aleixos Borrás, MN.; Cubero, S.; Blasco, J. (2013). Development of a hyperspectral computer vision system based on two liquid crystal tuneable filters for fruit inspection. Application to detect citrus fruits decay. Food and Bioprocess Technology. 7(4):1047-1056. doi:10.1007/s11947-013-1158-9

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/68020

Files in this item

Item Metadata

Title: Development of a hyperspectral computer vision system based on two liquid crystal tuneable filters for fruit inspection. Application to detect citrus fruits decay
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica
Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà
Issued date:
Abstract:
Hyperspectral systems are characterised by offering the possibility of acquiring a large number of images at different consecutive wavebands. To ensure reliable and repeatable results using this kind of optical sensors, ...[+]
Subjects: Hyperspectral , Citrus fruits , Decay detection , Fruit inspection , Artificial neural networks
Copyrigths: Reserva de todos los derechos
Source:
Food and Bioprocess Technology. (issn: 1935-5130 ) (eissn: 1935-5149 )
DOI: 10.1007/s11947-013-1158-9
Publisher:
Springer Verlag
Publisher version: http://dx.doi.org/10.1007/s11947-013-1158-9
Thanks:
This work has been partially funded by the Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria de Espana (INIA) through research project RTA2012-00062-C04-01 and RTA2012-00062-C04-03 with the support of ...[+]
Type: Artículo

This item appears in the following Collection(s)

Show full item record