Measurement of visual attributes of fresh and processed seafood

dc.contributor.authorBalaban, Murat O.
dc.contributor.authorAyvaz, Zayde
dc.date.accessioned2025-01-27T19:07:03Z
dc.date.available2025-01-27T19:07:03Z
dc.date.issued2016
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractMachine vision and image analysis are emerging and quickly spreading technologies that can quantify the visual attributes of seafood (color, size, shape, visual texture, defects), can identify different fish species automatically for sorting, can estimate weight from morphological attributes, can prepare seafood for processing by orientation, and can perform all of these in a fast, repeatable, objective and flexible manner. The evidence of successful applications of both machine vision and image analysis to raw and processed seafood is increasing in the scientific literature, and in the processing and distribution sectors of seafood. Examples of various applications of this technology are presented in this chapter. © 2016 by Nova Science Publishers, Inc. All rights reserved.
dc.identifier.endpage85
dc.identifier.isbn978-163485852-6
dc.identifier.isbn978-163485823-6
dc.identifier.scopus2-s2.0-85021981675
dc.identifier.scopusqualityN/A
dc.identifier.startpage65
dc.identifier.urihttps://hdl.handle.net/20.500.12428/14296
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherNova Science Publishers, Inc.
dc.relation.ispartofHandbook of Seafood: Quality and Safety Maintenance and Applications
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250125
dc.subjectImage analysis; Machine vision; Seafood; Visual attributes
dc.titleMeasurement of visual attributes of fresh and processed seafood
dc.typeBook Chapter

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