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Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images

 
dc.contributor.authorVan De Looverbosch, Tim
dc.contributor.authorHe, Jiaqi
dc.contributor.authorTempelaere, Astrid
dc.contributor.authorKelchtermans, Klaas
dc.contributor.authorVerboven, Pieter
dc.contributor.authorTuytelaars, Tinne
dc.contributor.authorSijbers, Jan
dc.contributor.authorNicolai, Bart
dc.contributor.imecauthorSijbers, Jan
dc.contributor.orcidimecSijbers, Jan::0000-0003-4225-2487
dc.date.accessioned2023-04-06T12:00:51Z
dc.date.available2022-08-07T02:38:51Z
dc.date.available2023-04-06T12:00:51Z
dc.date.issued2022
dc.description.wosFundingTextThe authors acknowledge the financial support of KU Leuven (projects C1/16/002 and C3/19/036), the Fund for Scientific Research (FWO project G060516N and Hercules funding I013518N) and Flanders Innovation and Entrepreneurship (HBC.2016.0806).
dc.identifier.doi10.1016/j.compag.2022.106962
dc.identifier.issn0168-1699
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40216
dc.publisherELSEVIER SCI LTD
dc.source.beginpageArt. 106962
dc.source.endpagena
dc.source.issueJune
dc.source.journalCOMPUTERS AND ELECTRONICS IN AGRICULTURE
dc.source.numberofpages14
dc.source.volume197
dc.subject.keywordsCLASSIFICATION
dc.subject.keywordsINSPECTION
dc.subject.keywordsDEFECTS
dc.title

Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images

dc.typeJournal article
dspace.entity.typePublication
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