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dc.contributor.authorBlasco, José
dc.contributor.authorAleixos, Nuria
dc.contributor.authorGomez-Sanchis, J.
dc.contributor.authorMoltó, Enrique
dc.date.accessioned2017-06-01T10:11:11Z
dc.date.available2017-06-01T10:11:11Z
dc.date.issued2009
dc.identifier.citationBlasco, J., Aleixos, N., Gomez-Sanchis, J., Molto, E. (2009). Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features. Biosystems Engineering, 103(2), 137-145.
dc.identifier.issn1537-5110
dc.identifier.urihttp://hdl.handle.net/20.500.11939/4858
dc.description.abstractThe computer vision systems currently used for the automatic inspection of citrus fruits are normally based on supervised methods that are capable of detecting defects on the surface of the fruit but are unable to discriminate between different types of defects. identifying the type of the defect affecting each fruit is very important in order to optimise the marketing profit and to be able to take measures to prevent such defects from occurring in the future. In this paper, we present a computer vision system that was developed for the recognition and classification of the most common external defects in citrus. in order to discriminate between 11 types of defects, images of the defects were acquired in five spectral areas, including the study of near infrared reflectance and ultraviolet induced fluorescence. The system combines spectral information about the defects with morphological estimations of them in order to classify the fruits in categories. The fruit-sorting algorithm proposed here was tested by using it to identify the defects in more than 2000 citrus fruits, including mandarins and oranges. The overall success rate reached 86%. (C) 2009 IAgrE. Published by Elsevier Ltd. All rights reserved.
dc.language.isoen
dc.titleRecognition and classification of external skin damage in citrus fruits using multispectral data and morphological features
dc.typearticle
dc.date.issuedFreeFormJUN 2009
dc.identifier.doi10.1016/j.biosystemseng.2009.03.009
dc.journal.issueNumber2
dc.journal.titleBiosystems Engineering
dc.journal.volumeNumber103
dc.page.final145
dc.page.initial137
dc.rights.accessRightsopenAccess
dc.source.typeImpreso


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