DocumentCode :
3390250
Title :
3D CT baggage image enhancement based on order statistic decomposition
Author :
Zhou, Yicong ; Panetta, Karen ; Agaian, Sos
Author_Institution :
Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA, USA
fYear :
2010
fDate :
8-10 Nov. 2010
Firstpage :
287
Lastpage :
291
Abstract :
Baggage scanning systems are widely used at security checkpoint in airports for homeland security applications. However, the CT baggage images suffer from background noise and the presence of low contrast. To address this problem, this paper introduces a new 3D CT baggage image enhancement algorithm using order statistic decomposition. Computer simulation and comparisons are given to demonstrate the excellent enhancement performance of the presented new algorithm and its capability of significantly improving visual quality of CT images while removing the background noise.
Keywords :
computerised tomography; image enhancement; national security; statistics; 3D CT baggage image enhancement; CT images quality; background noise removal; order statistic decomposition; Computed tomography; Histograms; Image enhancement; Noise measurement; Pixel; Three dimensional displays; Visualization; 3D image enhancement; CT baggage image; order statistic decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies for Homeland Security (HST), 2010 IEEE International Conference on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4244-6047-2
Type :
conf
DOI :
10.1109/THS.2010.5655042
Filename :
5655042
Link To Document :
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