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dc.contributor.authorBlasco, José
dc.contributor.authorAleixos, Nuria
dc.contributor.authorCubero, Sergio
dc.contributor.authorGómez-Sanchís, Juan
dc.contributor.authorMoltó, Enrique
dc.date.accessioned2017-06-01T10:11:12Z
dc.date.available2017-06-01T10:11:12Z
dc.date.issued2009
dc.identifier.citationBlasco, J., Aleixos, N., Cubero, S., Gomez-Sanchis, J., Moltó, E. (2009). Automatic sorting of satsuma, (Citrus unshiu), segments using computer vision and morphological features. Computers and Electronics in Agriculture, 66(1), 1-8.
dc.identifier.issn0168-1699
dc.identifier.urihttp://hdl.handle.net/20.500.11939/4862
dc.description.abstractAlthough most of the process of canning mandarin segments is already automated, this has still not been achieved with the on-line inspection and sorting of the fruit because of the difficulty in the handling of the product and the complexity of the inspection software required to classify the segments following subjective criteria. A machine vision-based system has been developed to classify the objects that reach the line into four categories, detecting broken fruit attending, basically, to the shape of the fruit. A full working prototype has been developed for singulating, inspecting and sorting satsuma (Citrus unshiu) segments. The segments are transported over semi-transparent conveyor belts to allow illuminating the fruit from the bottom to enhance the shape of the segments against the background. The system acquires images of the segments using two cameras connected to a single computer and processes them in less than 50ms. By extracting morphological features from the objects, the system automatically identifies pieces of skin and other raw material, and separates whole segments from broken ones; it is also capable to grade between those with a slight or a large degree of breakage. Tests showed that the machine is able to correctly classify 93.2% of sound segments.
dc.language.isoen
dc.titleAutomatic sorting of satsuma, (Citrus unshiu) segments using computer vision and morphological features
dc.typearticle
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315, Km. 10’7, 46113 Moncada (Valencia), Españaes
dc.date.issuedFreeFormAPR 2009
dc.entidadIVIACentro de Agroingeniería
dc.identifier.doi10.1016/j.compag.2008.11.006
dc.journal.abbreviatedTitleComput.Electron.Agric.
dc.journal.issueNumber1
dc.journal.titleComputers and Electronics in Agriculture
dc.journal.volumeNumber66
dc.page.final8
dc.page.initial1
dc.rights.accessRightsopenAccess
dc.source.typeImpreso


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