A classifier based approach for the detection of potential threats in CT based Baggage Screening

Author

Megherbi, Najla ; Flitton, Greg T. ; Breckon, Toby P.

Author_Institution

Sch. of Eng., Cranfield Univ., Cranfield, UK

fYear

2010

fDate

26-29 Sept. 2010

Firstpage

1833

Lastpage

1836

Abstract

Recent years have seen increased use of Computed Tomography (CT) based Unaccompanied Baggage and Package Screening (UBPS) systems for luggage examination to ensure air travel security. In this paper we present a research work on developing a system for automatic detection of potential threat items in cluttered 3D CT imagery originating from UBPS systems by combining 3D medical image segmentation techniques with 3D shape classification and retrieval methods.

Keywords

air safety; computerised tomography; image classification; image retrieval; image segmentation; 3D medical image segmentation techniques; 3D shape classification; CT based baggage screening; UBPS systems; Unaccompanied Baggage and Package Screening; air travel security; automatic detection; classifier based approach; cluttered 3D CT imagery; computed tomography; luggage examination; potential threat detection; potential threat items; retrieval methods; Computed tomography; Histograms; Image segmentation; Indexes; Shape; Three dimensional displays; Training; 3D Zernike descriptors; 3D medical image segmentation; Aviation security; histogram of shape index; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2010 17th IEEE International Conference on

Conference_Location

Hong Kong

ISSN

1522-4880

Print_ISBN

978-1-4244-7992-4

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2010.5653676

Filename

5653676