AbstractThe 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.
Image feature based detection of agricultural quarantine materials in X-ray images
Journal of Air Transport Management ; 13 , 6 ; 348-354
2007-01-01
7 pages
Article (Journal)
Electronic Resource
English
Image feature based detection of agricultural quarantine materials in X-ray images
Online Contents | 2007
|NTIS | 1971
NTRS | 1977
NTIS | 1971
NTIS | 1977