SEARCH WITHIN CONTENT
Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 8, Issue 1, Pages 45-64, DOI: https://doi.org/10.21307/ijssis-2017-748
License : (CC BY-NC-ND 4.0)
Received Date : 25-August-2014 / Accepted: 07-January-2015 / Published Online: 01-March-2015
The aviation security at the airport has been faced with increasingly severe situations since the 9-11 event. It’s of utmost importance to train airport X-ray machine screener’s image recognition competency. So they can prevent terrorists from bringing dangerous articles in their carry-on or checked bags. However, usually the luggages are placed in different positions and the density & volume of articles differ greatly. As a result, dangerous articles show a variety of X-ray image features. It’s easy for the confused screeners to miss or incorrectly detect dangerous articles. This has been a hidden danger for civil aviation safety. For image recognition improvement, the researcher analyzed the visual semantics of dangerous goods images and applied a local semantic features extraction method. After classification and summarization, the method was used to train the screeners for particular image recognition. The comparison showed the improved accuracy and efficiency of image recognition for the screeners and demonstrated a satisfactory effect.
 Maneesha Singh, Sameer Singh, Derek Partridge. “A Knowledge-Based Framework for Image Enhancement in Aviation Security”, IEEE Transactions on Sysytems, Man, and Cybernetics—Part B: Cybernetics, vol. 34, NO. 6, pp. 2354-2365, December 2004.
 Stefan Michel, “Computer-Based Training Increase Efficiency in X-ray Image Interpretation
by Aviation Security Screeners”, Security Technology, 2007 41st Annual IEEE International
Carnahan Conference on Date of Conference: 8-11 Oct. 2007, pp. 201 – 206.
 Saskia M. Steiner-Koller, Anton Bolfing, Adrian Schwaninger. “Assessment of X-Ray Image
Interpretation Competency of Aviation Security Screeners”, Security Technology, 2009. 43rd
Annual 2009 International Carnahan Conference on Date of Conference: 5-8 Oct. 2009. pp.
20 – 27.
 Claudia C. von Bastian, “Colour Impact on Security Screening”, IEEE A&E Systems Magzine,
pp.1-6, October 2010.
 Raphael,G.; Berka,C.; Kintz,N.; Tan,V. “Interactive Neuro-Educational Technologies (INET):
Enhanced Training of Threat Detection for Airport Luggage Screeners”, Technologies
for Homeland Security (HST), 2010 IEEE International Conference on Date of Conference:8-
10 Nov. 2010. pp:536 – 542.
 Marcia Mendes, “Does the Application of Virtually Merged Images Influence the
Effectiveness of Computer-Based Training in X-ray Screening?” Security Technology
(ICCST), 2011 IEEE International Carnahan Conference on Date of Conference:18-21 Oct.
2011. pp.1 – 8.
 Stefan Michel, Adrian Schwaninger, “Human-Machine Interaction in X-ray Screening”,
Security Technology, 2009. 43rd Annual 2009 International Carnahan Conference on Date of
Conference:5-8 Oct. 2009. pp:13 – 19.
 Anton Bolfin, Adrian Schwaninger, “Selection and Pre-Employment Assessment in Aviation
Security X-Ray Screening” Security Technology, 2009. 43rd Annual 2009 International
Carnahan Conference on Date of Conference:5-8 Oct. 2009. pp:5 – 12.
 Diana Turcsany, Andre Mouton, Toby P. Breckon. “Improving Feature-Based Object
Recognition for X-ray Baggage Security Screening Using Primed Visual Words”, Industrial
Technology (ICIT), 2013 IEEE International Conference on Date of Conference:25-28 Feb.
2013. pp:1140 – 1145.
 Jianping Fan, Yuli Gao, Hangzai Luo and Ramesh Jain, “Mining Multilevel Image Semantics
via Hierarchical Classification”, IEEE Transactions on Multimedia, vol. 10, NO. 2, Feb. 2008.
 Rong Zhang, “Distinguishing Photorealistic Computer Graphics from Natural Images by
Imaging Features and Visual Features”, Electronics, Communications and Control (ICECC),
2011 International Conference on Date of Conference: 9-11 Sept. 2011. PP:226 – 229.
 Jinhui Tang, “Semantic-Gap-Oriented Active Learning for Multilabel Image Annotation”,
Image Processing, IEEE Transactions on (Volume:21 , Issue: 4 ) Date of Publication: April
2012. pp:2354 – 2360.
 Walther, D.B. “Using Confusion Matrices to Estimate Mutual Information between Two
Categorical Measurements”, Pattern Recognition in Neuroimaging (PRNI), 2013
International Workshop on Date of Conference:22-24 June 2013. pp:220 – 224.
 G.Sengupta, T.A.Win, C.Messom, S.Demidenko and S.C.Mukhopadhyay, “Defect analysis of
grit-blasted or spray printed surface using vision sensing technique”, Proceedings of Image
and Vision Computing NZ, Nov. 26-28, 2003, Palmerston North, pp. 18-23.
 Jianjun Ma, Xianzhe Li. “Lab-on-a-Fiber Device for Trace Vapor TNT Explosive Detection:
Comprehensive Performance Evaluation”, Lightwave Technology, Journal of (Volume:30 ,
Issue: 8 ) April 15, 2012. pp:1127 – 1133.
 Nicola Ivan Giannoccaro, A Robotic Arm to Sort Different Types of Ball Bearings from
the Knowledge Discovered by Size Measurements of Image Regions and RFID Support,
International Journal on Smart Sensing and Intelligent Systems, vol.7, no.2, pp. 674 – 700,
 Guohui Wu, Xingkun Li and Jiyang Dai, Improved Measure Algorithm Based on CoSaMP
for Image Recovery vol.7, no.2, pp. 724 – 739, 2014.