Automated fish bone detection using X-ray imaging

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dc.contributor.authorMery, Domingo
dc.contributor.authorLillo, Ivan
dc.contributor.authorLoebel, Hans
dc.contributor.authorRiffo, Vladimir
dc.contributor.authorSoto, Alvaro
dc.contributor.authorCipriano, Aldo
dc.contributor.authorMiguel Aguilera, Jose
dc.date.accessioned2024-01-10T12:37:44Z
dc.date.available2024-01-10T12:37:44Z
dc.date.issued2011
dc.description.abstractIn countries where fish is often consumed, fish bones are some of the most frequently ingested foreign bodies encountered in foods. In the production of fish fillets, fish bone detection is performed by human inspection using their sense of touch and vision which can lead to misclassification. Effective detection of fish bones in the quality control process would help avoid this problem. For this reason, an X-ray machine vision approach to automatically detect fish bones in fish fillets was developed. This paper describes our approach and the corresponding experiments with salmon and trout fillets. In the experiments, salmon X-ray images using 10 x 10 pixels detection windows and 24 intensity features (selected from 279 features) were analyzed. The methodology was validated using representative fish bones and trouts provided by a salmon industry and yielded a detection performance of 99%. We believe that the proposed approach opens new possibilities in the field of automated visual inspection of salmon, trout and other similar fish. (C) 2011 Elsevier Ltd. All rights reserved.
dc.fechaingreso.objetodigital27-03-2024
dc.format.extent8 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.jfoodeng.2011.03.007
dc.identifier.eissn1873-5770
dc.identifier.issn0260-8774
dc.identifier.urihttps://doi.org/10.1016/j.jfoodeng.2011.03.007
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/76913
dc.identifier.wosidWOS:000291076800013
dc.information.autorucIngeniería;Aguilera J ;S/I;99054
dc.information.autorucIngeniería;Cipriano A;S/I;99102
dc.information.autorucMedicina;Lillo I;S/I;117795
dc.information.autorucIngeniería;Mery D ;S/I;102382
dc.information.autorucIngeniería;Riffo V;S/I;183756
dc.information.autorucIngeniería;Soto A ;S/I;73678
dc.issue.numero3
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final492
dc.pagina.inicio485
dc.publisherELSEVIER SCI LTD
dc.revistaJOURNAL OF FOOD ENGINEERING
dc.rightsacceso restringido
dc.subjectFish bones
dc.subjectX-ray testing
dc.subjectComputer vision
dc.subjectAutomated visual inspection
dc.subjectSalmon
dc.subjectTrout
dc.subjectINSPECTION
dc.subject.ods02 Zero Hunger
dc.subject.odspa02 Hambre cero
dc.titleAutomated fish bone detection using X-ray imaging
dc.typeartículo
dc.volumen105
sipa.codpersvinculados99054
sipa.codpersvinculados99102
sipa.codpersvinculados117795
sipa.codpersvinculados102382
sipa.codpersvinculados183756
sipa.codpersvinculados73678
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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