Image feature based detection of agricultural quarantine materials in X-ray images

Natsuko Toyofuku and Thomas F. Schatzki

Journal of Air Transport Management, 2007, vol. 13, issue 6, 348-354

Abstract: The US Department of Agriculture uses many methods to screen incoming passenger baggage for agricultural quarantined materials (e.g. fresh fruits and meat). X-ray inspection is relied upon because it is a fast and non-invasive inspection method. This paper investigates a new image feature based approach to training for X-ray inspection that instructs subjects to search for particular patterns and textures in the X-ray image, rather than specific objects (e.g. an apple). The image feature based approach is found to have demonstrable potential as a training program and provides justification for further research into implementation in a computer pattern recognition program.

Keywords: Airport inspection; X-ray inspection; Quarantine materials; Agricultural contraband; Image features (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:13:y:2007:i:6:p:348-354

DOI: 10.1016/j.jairtraman.2007.06.001

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