A New Enhancement Technique of X-Ray Carry-on Luggage Images Based on DWT and Fuzzy Theory

Author

He, Xiu-Ping ; Han, Ping ; Lu, Xiao-Guang ; Wu, Ren-biao

Author_Institution

Tianjin Key Lab. for Adv. Signal Process., Civil Aviation Univ. of China, Tianjin

fYear

2008

fDate

Aug. 29 2008-Sept. 2 2008

Firstpage

855

Lastpage

858

Abstract

A new enhancement algorithm of dual-energy X-ray carry-on luggage images is proposed in this paper in an effort to ensure the national security at airports. First, high energy and low energy X-ray images are fused after discrete wavelet transform (DWT), and then fuzzy technique is improved to enhance the fusion images. Finally, histogram equalization (HE) is performed to extend the dynamic range of processed image gray-levels. Experimental results show that the proposed approach can improve image definition more efficiently and have better generalization compared with that of gray level grouping (GLG) and HE.

Keywords

X-ray imaging; airports; discrete wavelet transforms; fuzzy set theory; image colour analysis; image enhancement; image fusion; inspection; national security; public administration; airports; discrete wavelet transform; dual-energy X-ray carry-on luggage images; fuzzy theory; histogram equalization; image enhancement; image fusion; image gray-levels processing; national security; Airports; Discrete wavelet transforms; Helium; Histograms; Inspection; National security; Signal processing algorithms; Signal to noise ratio; Wavelet transforms; X-ray imaging; DWT; X-ray images; fuzzy theory; image enhancement; image fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on

Conference_Location

Singapore

Print_ISBN

978-0-7695-3308-7

Type

conf

DOI

10.1109/ICCSIT.2008.180

Filename

4624988