Journal article

Detecting Bombs in X-Ray Images of Hold Baggage: 2D Versus 3D Imaging.

  • Hättenschwiler N University of Applied Sciences and Arts Northwestern Switzerland, Olten.
  • Mendes M University of Applied Sciences and Arts Northwestern Switzerland, Olten.
  • Schwaninger A University of Applied Sciences and Arts Northwestern Switzerland, Olten.
  • 2018-09-25
Published in:
  • Human factors. - 2019
English OBJECTIVE
This study compared the visual inspection performance of airport security officers (screeners) when screening hold baggage with state-of-the-art 3D versus older 2D imaging.


BACKGROUND
3D imaging based on computer tomography features better automated detection of explosives and higher baggage throughput than older 2D X-ray imaging technology. Nonetheless, some countries and airports hesitate to implement 3D systems due to their lower image quality and the concern that screeners will need extensive and specific training before they can be allowed to work with 3D imaging.


METHOD
Screeners working with 2D imaging (2D screeners) and screeners working with 3D imaging (3D screeners) conducted a simulated hold baggage screening task with both types of imaging. Differences in image quality of the imaging systems were assessed with the standard procedure for 2D imaging.


RESULTS
Despite lower image quality, screeners' detection performance with 3D imaging was similar to that with 2D imaging. 3D screeners revealed higher detection performance with both types of imaging than 2D screeners.


CONCLUSION
Features of 3D imaging systems (3D image rotation and slicing) seem to compensate for lower image quality. Visual inspection competency acquired with one type of imaging seems to transfer to visual inspection with the other type of imaging.


APPLICATION
Replacing older 2D with newer 3D imaging systems can be recommended. 2D screeners do not need extensive and specific training to achieve comparable detection performance with 3D imaging. Current image quality standards for 2D imaging need revision before they can be applied to 3D imaging.
Language
  • English
Open access status
hybrid
Identifiers
Persistent URL
https://folia.unifr.ch/global/documents/281577
Statistics

Document views: 21 File downloads:
  • fulltext.pdf: 0