Neural-network-assisted drug detection in x-ray images

Narbik Manukian; John L. Kirkwood; Gregg D. Wilensky; JungChou Chang

doi:10.1117/12.271739

3 April 1997 Neural-network-assisted drug detection in x-ray images

Narbik Manukian, John L. Kirkwood, Gregg D. Wilensky, JungChou Chang

Proceedings Volume 3078, Wavelet Applications IV; (1997) https://doi.org/10.1117/12.271739
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

A drug detection system using neural networks is applied to the problem of detecting cocaine stimulants in backscatter and transmission images of baggage generated by the AS and E 101 x-ray mobile van. This system automatically locates and evaluates potential targets of interest by merging intensity and geometric data form backscatter and transmission x-ray images and outlines the suspicious regions in red. Two neural networks are used to analyze the combination of both backscatter and transmission data; the first network analyzes suspicious regions from the images and outputs a probability that the region contains drugs, and the second integrates all such regions from a bag and outputs a probability that the bag contains drugs. The system performance approaches that of expert human operators in detecting drugs. It can benefit inspection by reducing the number of bags that the human needs to inspect thereby increasing the number of bags that a human can process in a given time.

Citation Download Citation

Narbik Manukian, John L. Kirkwood, Gregg D. Wilensky, and JungChou Chang "Neural-network-assisted drug detection in x-ray images", Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); https://doi.org/10.1117/12.271739

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