Title :
Identification of Objects-of-Interest in X-Ray Images
Author :
Oertel, Carsten ; Bock, Peter
Author_Institution :
George Washington Univ., Washington, DC
Abstract :
The objective of this research is to automatically detect and locate devices-of-interest (DOI) in x-ray images, even if partially obscured by devices of no interest, using a new ALISA Component Module. This preliminary study was performed using a single DOI, a 9mm Colt Beretta, but the solution method can easily accommodate other DOIs. Results obtained in real-time (a few seconds) revealed a robust and accurate classifier that could easily assist security personnel at the defined venue: carry-on luggage x-ray machines in airports. This research project was funded by the defense threat reduction agency (DTRA).
Keywords :
X-ray imaging; object recognition; ALISA component module; Colt Beretta; X-ray images; carry-on luggage x-ray machines; devices-of-interest; objects-of-interest; Airports; Gray-scale; Inspection; Robustness; Security; Springs; Testing; X-ray detection; X-ray detectors; X-ray imaging;
Conference_Titel :
Applied Imagery and Pattern Recognition Workshop, 2006. AIPR 2006. 35th IEEE
Conference_Location :
Washington, DC
Print_ISBN :
0-7695-2739-6
Electronic_ISBN :
1550-5219
DOI :
10.1109/AIPR.2006.25