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dc.contributor.authorBalaban, Murat Ömer
dc.contributor.authorChombeau, Melanie
dc.contributor.authorGümüş, Bahar
dc.contributor.authorCırban, Dilşat
dc.date.accessioned2017-02-08T12:00:46Z
dc.date.available2017-02-08T12:00:46Z
dc.date.issued2012-01
dc.identifier.citationBalaban, M. Ö., Chombeau, M., Gümüş, B., and Cırban, D. (2012). Quality evaluation of Alaska pollock (Theragra chalcogramma) roe by image analysis. Part I: Weight prediction. Journal of Aquatic Food Product Technology, 21(1), 59-71. doi:10.1080/10498850.2011.583377en_US
dc.identifier.issn1049-8850
dc.identifier.urihttp://doi.org/10.1080/10498850.2011.583377
dc.identifier.urihttp://hdl.handle.net/11147/4810
dc.description.abstractRoe is an important product of the Alaska pollock (Theragra chalcogramma) industry. About 31% of the value for all pollock products comes from roe, yet roe is 5% of the weight of the fish. Currently, the size (weight), color, and maturity of the roe are subjectively evaluated. The objective of this study was to develop methods to predict the weight of Alaska pollock roe based on its view area from a camera and to differentiate between single and double roes. One hundred and forty-two pollock roes were picked from a processing line in a Kodiak, AK plant. Each roe was weighed, placed in a light box equipped with a digital video camera, images were taken at two different angles from one side, then turned over and presented at two different angles again (four images for each roe). A reference square of known surface area was placed by the roe. The following equations were used to fit the view area (X) versus weight (Y) data: linear, power, and second-order polynomial. Error rates for the classification of roes by weight decreased significantly when weight prediction equations for single and double roes were developed separately. A turn angle method, a box method, and a modified box method were tested to differentiate single and double roes by image analysis. Machine vision can accurately determine the weight of pollock roe. Practical Application Abstract: An image analysis method to accurately determine if pollock roe is a single or a double was developed. Then view area versus weight correlations were found for single and double roes that reduced incorrect weight classification rates to half that of human graders. © 2012 Copyright Taylor and Francis Group, LLC.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionof10.1080/10498850.2011.583377en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectQuality controlen_US
dc.subjectWeight classificationen_US
dc.subjectPollock roeen_US
dc.subjectImage processingen_US
dc.titleQuality evaluation of Alaska pollock (Theragra chalcogramma) roe by image analysis. Part I: Weight predictionen_US
dc.typearticleen_US
dc.contributor.institutionauthorCırban, Dilşat
dc.relation.journalJournal of Aquatic Food Product Technologyen_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, Gıda Mühendisliği Bölümüen_US
dc.identifier.volume21en_US
dc.identifier.issue1en_US
dc.identifier.startpage59en_US
dc.identifier.endpage71en_US
dc.identifier.wosWOS:000302212700007
dc.identifier.scopusSCOPUS:2-s2.0-84856831140
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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