1 April 1993 Detection of dangerous objects in x-ray images
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Proceedings Volume 1824, Applications of Signal and Image Processing in Explosives Detection Systems; (1993) https://doi.org/10.1117/12.142898
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rainer Bermbach, Stefan Vey, "Detection of dangerous objects in x-ray images", Proc. SPIE 1824, Applications of Signal and Image Processing in Explosives Detection Systems, (1 April 1993); doi: 10.1117/12.142898; https://doi.org/10.1117/12.142898
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