Title :
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
fDate :
Aug. 29 2008-Sept. 2 2008
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;
Conference_Titel :
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3308-7
DOI :
10.1109/ICCSIT.2008.180
