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784 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART C: APPLICATIONS AND REVIEWS, VOL. 36, NO. 6, NOVEMBER 2006 Improving Weapon Detection in Single Energy
 

Summary: 784 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART C: APPLICATIONS AND REVIEWS, VOL. 36, NO. 6, NOVEMBER 2006
Improving Weapon Detection in Single Energy
X-Ray Images Through Pseudocoloring
Besma R. Abidi, Senior Member, IEEE, Yue Zheng, Andrei V. Gribok, and Mongi A. Abidi, Member, IEEE
Abstract--This paper describes a series of linear and nonlinear
pseudocoloring maps designed and applied to single energy X-ray
luggage scans to assist airport screeners in identifying and de-
tecting threat items, particularly hard to see low-density weapons
in luggage. Considerations of the psychological and physiological
processing involved in the human perception of color as well as the
effects of using various color models, such as the RGB and HSI
models, were explored. Original grayscale data, various enhanced
images, and segmented scenes were used as input to the various
color mapping schemes designed in this research. A highly inter-
active user-friendly graphical interface and a portable test were
developed and used in a performance evaluation study involving a
population of actual federal airport screeners. The study proved
the advantages of using color over gray level data and also allowed
the ranking of color maps and selection of the best performing
color schemes. Rate improvements in weapon detection of up to

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences