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Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment

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Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment

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Lorente, D.; Aleixos Borrás, MN.; Gómez Sanchís, J.; Cubero, S.; García Navarrete, ÓL.; Blasco Ivars, J. (2011). Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment. Food and Bioprocess Technology. 5(4):1121-1142. https://doi.org/10.1007/s11947-011-0725-1

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/68034

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Title: Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment
Author: Lorente, D. Aleixos Borrás, María Nuria Gómez Sanchís, Juan Cubero, S. García Navarrete, Óscar Leonardo Blasco Ivars, José
UPV Unit: Universitat Politècnica de València. Departamento de Mecanización y Tecnología Agraria - Departament de Mecanització i Tecnologia Agrària
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:
[EN] Hyperspectral imaging systems are starting to be used as a scientific tool for food quality assessment. A typical hyperspectral image is composed of a set of a relatively wide range of monochromatic images corresponding ...[+]
Subjects: Computer vision , Fruits , Hyperspectral imaging , Image analysis , Multispectral imaging , Non-destructive inspection , Quality , Vegetables , Data sets , Degree of correlations , External features , Food quality , Fruit and vegetables , High-dimensional , High-speed process , Hyper-spectral images , Hyperspectral imaging systems , Monochromatic images , Multi-spectral , Non destructive , Non destructive inspection , Quality assessment , Quality features , Redundant informations , Scientific tool , Standard protocols , Statistical techniques , Visible imaging , Image quality , Independent component analysis
Copyrigths: Reserva de todos los derechos
Source:
Food and Bioprocess Technology. (issn: 1935-5130 ) (eissn: 1935-5149 )
DOI: 10.1007/s11947-011-0725-1
Publisher:
Springer Verlag
Publisher version: http://dx.doi.org/10.1007/s11947-011-0725-1
Project ID:
info:eu-repo/grantAgreement/MICINN//RTA2009-00118-C02-01/ES/RTA2009-00118-C02-01/
info:eu-repo/grantAgreement/MICINN//DPI2010-19457/ES/DESARROLLO DE NUEVAS TECNICAS DE VISION POR COMPUTADOR BASADAS EN SISTEMAS MULTI-AGENTE E IMAGENES HIPERESPECTRALES PARA LA ESTIMACION AUTOMATICA DE LA CALIDAD DE LOS CITRICOS/
info:eu-repo/grantAgreement/UV//INV-AE11-41271/
Thanks:
This work was partially funded by the Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria de Espana (INIA) through research project RTA2009-00118-C02-01 and by the Ministerio de Ciencia e Innovacion de ...[+]
Type: Artículo

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