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dc.contributor.authorRuiz, L. A.
dc.contributor.authorMoltó, Enrique
dc.contributor.authorJuste, Florentino
dc.contributor.authorPla, F.
dc.contributor.authorValiente, R.
dc.date.accessioned2017-06-01T10:10:10Z
dc.date.available2017-06-01T10:10:10Z
dc.date.issued1996
dc.identifier.citationRuiz, L.A., Moltó, E., Juste, F., Pla, F., Valiente, R. (1996). Location and characterization of the stem-calyx area on oranges by computer vision. Journal of Agricultural Engineering Research, 64(3), 165-172.
dc.identifier.issn0021-8634
dc.identifier.urihttp://hdl.handle.net/20.500.11939/4451
dc.description.abstractThree image analysis methods were studied and evaluated to solve the problem of removing long stems attached to mechanically harvested oranges: colour segmentation based on linear discriminant analysis, contour curvature analysis, and a thinning process which involves iterating until the stem becomes a skeleton. These techniques are able to determine the presence or absence of a stem with certainty, to locate the stems from random views with more than 90% accuracy and from profile images with an accuracy ranging from 92.4% to 100% depending on the method used. Finally, determination of the length and cutting point of the stem is achieved with only 3.8% of failures. (C) 1996 Silsoe Research Institute
dc.language.isoen
dc.titleLocation and characterization of the stem-calyx area on oranges by computer vision
dc.typearticle
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315, Km. 10’7, 46113 Moncada (Valencia), Españaes
dc.date.issuedFreeFormJUL 1996
dc.entidadIVIACentro de Agroingeniería
dc.identifier.doi10.1006/jaer.1996.0058
dc.journal.abbreviatedTitleJ.Agric.Eng.Res.
dc.journal.issueNumber3
dc.journal.titleJournal of Agricultural Engineering Research
dc.journal.volumeNumber64
dc.page.final172
dc.page.initial165
dc.rights.accessRightsopenAccess
dc.source.typeImpreso
dc.type.hasVersionpublishedVersion


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