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Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach

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Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach

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López García, F.; Andreu García, G.; Blasco Ivars, J.; Aleixos Borrás, MN.; Valiente González, JM. (2010). Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach. Computers and Electronics in Agriculture. 71(2):189-197. doi:10.1016/j.compag.2010.02.001

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/51305

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Title: Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
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
Issued date:
Abstract:
One of the main problems in the post-harvest processing of citrus is the detection of visual defects in order to classify the fruit depending on their appearance. Species and cultivars of citrus present a high rate of ...[+]
Subjects: Fruit Inspection , Automatic Quality Control , Multivariate Image Analysis , Principal Component Analysis , Unsupervised Methods
Copyrigths: Reserva de todos los derechos
Source:
Computers and Electronics in Agriculture. (issn: 0168-1699 )
DOI: 10.1016/j.compag.2010.02.001
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.compag.2010.02.001
Thanks:
This work has been supported by the Spanish Ministry of Education (MEC) and by European FEDER funds, through the research projects DPI2007-66596-C02-01 (VISTAC) and DPI-2007-66596-C02-02.
Type: Artículo

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