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Improving the detection of low-density weapons in x-ray luggage scans using image
 

Summary: Improving the detection of low-density weapons
in x-ray luggage scans using image
enhancement and novel scene-decluttering
techniques
Besma Abidi
University of Tennessee
Imaging, Robotics, and Intelligent Systems Laboratory
317 Ferris Hall
Knoxville, Tennesee 37996-2100
E-mail: besma@utk.edu
Jimin Liang
Xidian University
School of Electronic Engineering
2 Taibai Road
Xi'an, Shaanxi 710071, China
Mark Mitckes
Mongi Abidi
University of Tennessee
Imaging, Robotics, and Intelligent Systems Laboratory
334 Ferris Hall

  

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

 

Collections: Computer Technologies and Information Sciences