Title
Automated X-ray image analysis for cargo security: Critical review and future promise.
Abstract
We review the relatively immature field of automated image analysis for X-ray cargo imagery. There is increasing demand for automated analysis methods that can assist in the inspection and selection of containers, due to the ever-growing volumes of traded cargo and the increasing concerns that customs-and security-related threats are being smuggled across borders by organised crime and terrorist networks. We split the field into the classical pipeline of image preprocessing and image understanding. Preprocessing includes: image manipulation; quality improvement; Threat Image Projection (TIP); and material discrimination and segmentation. Image understanding includes: Automated Threat Detection (ATD); and Automated Contents Verification (ACV). We identify several gaps in the literature that need to be addressed and propose ideas for future research. Where the current literature is sparse we borrow from the single-view, multi-view, and CT X-ray baggage domains, which have some characteristics in common with X-ray cargo.
Year
DOI
Venue
2016
10.3233/XST-160606
JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY
Keywords
Field
DocType
X-ray,image analysis,automated threat detection,segmentation,computer vision
Image manipulation,Computer vision,Segmentation,Preprocessor,Artificial intelligence,Quality management,Physics
Journal
Volume
Issue
ISSN
25
1
0895-3996
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Thomas W. Rogers171.97
Nicolas Jaccard2112.44
Edward J Morton310.35
Lewis D. Griffin438145.96