Information-theoretic analysis of x-ray photoabsorption based threat detection system for check-point

Yuzhang Lin; Genevieve G. Allouche; James Huang; Amit Ashok; Qian Gong; David Coccarelli; Razvan-Ionut Stoian; Michael E. Gehm

doi:10.1117/12.2223803

12 May 2016 Information-theoretic analysis of x-ray photoabsorption based threat detection system for check-point

Yuzhang Lin, Genevieve G. Allouche, James Huang, Amit Ashok, Qian Gong, David Coccarelli, Razvan-Ionut Stoian, Michael E. Gehm

Author Affiliations +

Proceedings Volume 9847, Anomaly Detection and Imaging with X-Rays (ADIX); 98470F (2016) https://doi.org/10.1117/12.2223803
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

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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Yuzhang Lin, Genevieve G. Allouche, James Huang, Amit Ashok, Qian Gong, David Coccarelli, Razvan-Ionut Stoian, and Michael E. Gehm "Information-theoretic analysis of x-ray photoabsorption based threat detection system for check-point", Proc. SPIE 9847, Anomaly Detection and Imaging with X-Rays (ADIX), 98470F (12 May 2016); https://doi.org/10.1117/12.2223803

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