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Proceedings Paper

Detection of dangerous objects in x-ray images
Author(s): Rainer Bermbach; Stefan Vey
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Paper Abstract

An automated detection and recognition system is described for use with x-ray images of luggage inspection systems. The development goal was to achieve an automated analysis which may support operator-based control of luggage. The focus of attention lies on the recognition and checking of specified objects to which the system has been adapted during a training phase. The system trained so far concentrates on the detection of detonators and fire- arms. The segmentation gives various objects from which several features are extracted. These features are presented to a classifier which assigns the objects to predetermined categories. For classification a specially trained neural network (multilayer perceptron) is used. For detection of weapons first performance data are available. Detection of detonators is in the laboratory stage and shown first results.

Paper Details

Date Published: 1 April 1993
PDF: 12 pages
Proc. SPIE 1824, Applications of Signal and Image Processing in Explosives Detection Systems, (1 April 1993); doi: 10.1117/12.142898
Show Author Affiliations
Rainer Bermbach, HEIMANN Systems (Germany)
Stefan Vey, Technical Univ. of Darmstadt (Germany)


Published in SPIE Proceedings Vol. 1824:
Applications of Signal and Image Processing in Explosives Detection Systems
James M. Connelly; Shiu M. Cheung, Editor(s)

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