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dc.contributor.authorBlasco, José
dc.contributor.authorCubero, Sergio
dc.contributor.authorArias, Raul
dc.contributor.authorGomez, Juan
dc.contributor.authorJuste, Florentino
dc.contributor.authorMoltó, Enrique
dc.contributor.editorMarti, J Benedi, JM Serrat, J.
dc.date.accessioned2017-06-01T10:11:13Z
dc.date.available2017-06-01T10:11:13Z
dc.date.issued2007
dc.identifier.citationBlasco, J., Cubero, Sergio, Arias, Raul, Gomez, J., Juste, Florentino, Moltó, E. (2007). Development of a computer vision system for the automatic quality grading of mandarin segments. Pattern Recognition and Image Analysis, Pt 2, Proceedings, 4478, 460-466.
dc.identifier.issn0302-9743; 978-3-540-72848-1
dc.identifier.urihttp://hdl.handle.net/20.500.11939/4871
dc.description.abstractThis work focuses on the development of a computer vision system for the automatic on-line inspection and classification of Satsuma segments. During the image acquisition the segments are in movement, wet and frequently in contact with other pieces. The segments are transported over six semi-transparent conveyor belts that advance at speed of 1 nits. During on-line operation, the system acquires images of the segments using two cameras connected to a single computer and process the images in less than 50 ms. Extracting morphological features from the objects, the system identifies automatically pieces of skin and row material and separates entire segments from broken ones, discriminating between those with slight or large breaking degree. Combinations of morphological parameters were employed to decide the quality of each segment, classifying correctly 95% of sound segments.
dc.language.isoen
dc.titleDevelopment of a computer vision system for the automatic quality grading of mandarin segments
dc.title.alternativeLECTURE NOTES IN COMPUTER SCIENCE
dc.typearticle
dc.date.issuedFreeForm2007
dc.journal.titlePattern Recognition and Image Analysis, Pt 2, Proceedings
dc.journal.volumeNumber4478
dc.page.final466
dc.page.initial460
dc.rights.accessRightsopenAccess
dc.source.typeImpreso


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