Measurement of visual attributes of fresh and processed seafood
dc.contributor.author | Balaban, Murat O. | |
dc.contributor.author | Ayvaz, Zayde | |
dc.date.accessioned | 2025-01-27T19:07:03Z | |
dc.date.available | 2025-01-27T19:07:03Z | |
dc.date.issued | 2016 | |
dc.department | Çanakkale Onsekiz Mart Üniversitesi | |
dc.description.abstract | Machine 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.endpage | 85 | |
dc.identifier.isbn | 978-163485852-6 | |
dc.identifier.isbn | 978-163485823-6 | |
dc.identifier.scopus | 2-s2.0-85021981675 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 65 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12428/14296 | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Nova Science Publishers, Inc. | |
dc.relation.ispartof | Handbook of Seafood: Quality and Safety Maintenance and Applications | |
dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.snmz | KA_Scopus_20250125 | |
dc.subject | Image analysis; Machine vision; Seafood; Visual attributes | |
dc.title | Measurement of visual attributes of fresh and processed seafood | |
dc.type | Book Chapter |