dc.creatorLotufo R.A.
dc.creatorTaube-Neto M.
dc.creatorConejo E.
dc.creatorHoyos F.J.
dc.date1999
dc.date2015-06-30T15:22:25Z
dc.date2015-11-26T15:28:38Z
dc.date2015-06-30T15:22:25Z
dc.date2015-11-26T15:28:38Z
dc.date.accessioned2018-03-28T22:37:21Z
dc.date.available2018-03-28T22:37:21Z
dc.identifier
dc.identifierProceedings Of Spie - The International Society For Optical Engineering. Society Of Photo-optical Instrumentation Engineers, Bellingham, Wa, United States, v. 3652, n. , p. 43 - 49, 1999.
dc.identifier0277786X
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-0032640323&partnerID=40&md5=0fe21511a2ebdeb834108d736f5079f1
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/101220
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/101220
dc.identifier2-s2.0-0032640323
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1261650
dc.descriptionThis work describes a real-time continuous broiler weighing system based on machine vision, used for size sort planning in a process plant. We demonstrate that this technology can be used successfully as an alternative to classical electromechanical carcasses weighing system. A digitized silhouette image of the carcass hung by its feet is divided in six regions: the legs, the wings, the neck and the breast. Once the parts are separated, their individual areas are measured and used in a polynomial equation that predicts the overall bird weight. A sample of 1400 birds were collected, labeled and weighted in a precision scale, in different days and different hours. We found an error standard deviation of 78 grams for broilers weighing from 750 to 2100 grams. The morphological image processing algorithms demonstrated to be robust to extract the individual parts of the carcass.
dc.description3652
dc.description
dc.description43
dc.description49
dc.languageen
dc.publisherSociety of Photo-Optical Instrumentation Engineers, Bellingham, WA, United States
dc.relationProceedings of SPIE - The International Society for Optical Engineering
dc.rightsaberto
dc.sourceScopus
dc.titleUsing Machine Vision To Estimate Bird Weight In The Poultry Industry
dc.typeArtículos de revistas


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