Uroukov, I;
Speller, R;
(2015)
A Preliminary Approach to Intelligent X-ray Imaging for Baggage Inspection at Airports.
Signal Processing Research
, 4
p. 1.
10.14355/spr.2015.04.001.
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Abstract
Identifying explosives in baggage at airports relies on being able to characterize the materials that make up an X-ray image. If a suspicion is generated during the imaging process (step 1), the image data could be enhanced by adapting the scanning parameters (step 2). This paper addresses the first part of this problem and uses textural signatures to recognize and characterize materials and hence enabling system control. Directional Gabor-type filtering was applied to a series of different X-ray images. Images were processed in such a way as to simulate a line scanning geometry. Based on our experiments with images of industrial standards and our own samples it was found that different materials could be characterized in terms of the frequency range and orientation of the filters. It was also found that the signal strength generated by the filters could be used as an indicator of visibility and optimum imaging conditions predicted.
| Type: | Article |
|---|---|
| Title: | A Preliminary Approach to Intelligent X-ray Imaging for Baggage Inspection at Airports |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.14355/spr.2015.04.001 |
| Publisher version: | http://dx.doi.org/10.14355/spr.2015.04.001 |
| Language: | English |
| Additional information: | Copyright © 2015 Science and Engineering Publishing Company. This article is published under CC BY licence (http://creativecommons.org/licenses/by/3.0/) |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1471284 |
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