Information-theoretic analysis of x-ray photoabsorption based threat detection system for check-point
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE2016Vol. 9847, pp. 98470F–98470F
Citations Over TimeTop 16% of 2016 papers
Yuzhang Lin, Genevieve G. Allouche, James Huang, Amit Ashok, Qian Gong, David Coccarelli, Razvan-Ionut Stoian, Michael E. Gehm
Abstract
In this work we present an information-theoretic framework for a systematic study of checkpoint x-ray systems using photoabsorption measurements. Conventional system performance analysis of threat detection systems confounds the effect of the system architecture choice with the performance of a threat detection algorithm. However, our system analysis approach enables a direct comparison of the fundamental performance limits of disparate hardware architectures, independent of the choice of a specific detection algorithm. We compare photoabsorptive measurements from different system architectures to understand the affect of system geometry (angular views) and spectral resolution on the fundamental limits of the system performance.
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