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Illicit Material Detection using Dual-Energy X-Ray Images

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dc.contributor.author Hassanpour, Reza
dc.date.accessioned 2020-04-17T12:56:15Z
dc.date.available 2020-04-17T12:56:15Z
dc.date.issued 2016-07
dc.identifier.citation Hassanpour, Reza, "Illicit Material Detection using Dual-Energy X-Ray Images", International Arab Journal of Information Technology, Vol. 13, No. 4, pp. 409-416, (2016). tr_TR
dc.identifier.issn 1683-3198
dc.identifier.uri http://hdl.handle.net/20.500.12416/3292
dc.description.abstract Dual energy X-ray inspection systems are widely used in security and controlling systems. The performance of these systems however, degrades with the poor performance of human operators. Computer vision based systems are of vital importance in improving the detection rate of illicit materials, while keeping false alarms at a reasonably low level. In this study, a novel method is proposed for detecting material overlapping and reconstructing multiple images by alleviating these overlaps. Evaluation tests were conducted on images taken from luggage inspection X-ray screening devices used in shopping centres. The experimental results indicate that the reconstructed images are much easier to inspect by human operators than the unprocessed original images. tr_TR
dc.language.iso eng tr_TR
dc.publisher Zarka Private Univ tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject X-Ray Inspection tr_TR
dc.subject Segmentation tr_TR
dc.subject Security Systems tr_TR
dc.title Illicit Material Detection using Dual-Energy X-Ray Images tr_TR
dc.type article tr_TR
dc.relation.journal International Arab Journal of Information Technology tr_TR
dc.identifier.volume 13 tr_TR
dc.identifier.issue 4 tr_TR
dc.identifier.startpage 409 tr_TR
dc.identifier.endpage 416 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik - Bilgisayar Bölümü tr_TR


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