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Illicit material detection using dual-energy X-ray images
Author
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 4 (31 Jul. 2016)8 p.
Publisher
Publication Date
2016-07-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
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
American Psychological Association (APA)
Hassanpour, Reza. 2016. Illicit material detection using dual-energy X-ray images. The International Arab Journal of Information Technology،Vol. 13, no. 4.
https://search.emarefa.net/detail/BIM-654975
Modern Language Association (MLA)
Hassanpour, Reza. Illicit material detection using dual-energy X-ray images. The International Arab Journal of Information Technology Vol. 13, no. 4 (Jul. 2016).
https://search.emarefa.net/detail/BIM-654975
American Medical Association (AMA)
Hassanpour, Reza. Illicit material detection using dual-energy X-ray images. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 4.
https://search.emarefa.net/detail/BIM-654975
Data Type
Journal Articles
Language
English
Notes
Includes appendices.
Record ID
BIM-654975