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A Combinational Approach to the Fusion, De-noising and Enhancement of Dual-Energy X-Ray Luggage Images
 

Summary: A Combinational Approach to the Fusion, De-noising and Enhancement of
Dual-Energy X-Ray Luggage Images
Zhiyu Chen, Yue Zheng, Besma R. Abidi, David L. Page, and Mongi A. Abidi
Imaging, Robotics, and Intelligent Systems Laboratory, Electrical and Computer Engineering
Department, University of Tennessee, Knoxville, TN 37996
E-mail: {zychen, yzheng7, besma, dpage, abidi}@utk.edu
Abstract
X-ray luggage inspection systems play an important
role in ensuring air travelers' security. However, the
false alarm rate of commercial systems can be as high
as 20% due to less than perfect image processing
algorithms. In an effort to reduce the false alarm rate,
this paper proposes a combinational scheme to fuse,
de-noise and enhance dual-energy X-ray images for
better object classification and threat detection. The
fusion step is based on the wavelet transform. Fused
images generally reveal more detail information;
however, background noise often gets amplified during
the fusion process. This paper applies a background-
subtraction-based noise reduction technique which is

  

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

 

Collections: Computer Technologies and Information Sciences