Investigating existing medical CT segmentation techniques within automated baggage and package inspection

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

doi:10.1117/12.2028509

16 October 2013 Investigating existing medical CT segmentation techniques within automated baggage and package inspection

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

Author Affiliations +

Proceedings Volume 8901, Optics and Photonics for Counterterrorism, Crime Fighting and Defence IX; and Optical Materials and Biomaterials in Security and Defence Systems Technology X; 89010L (2013) https://doi.org/10.1117/12.2028509
Event: SPIE Security + Defence, 2013, Dresden, Germany

Abstract

3D Computed Tomography (CT) image segmentation is already well established tool in medical research and in routine daily clinical practice. However, such techniques have not been used in the context of 3D CT image segmentation for baggage and package security screening using CT imagery. CT systems are increasingly used in airports for security baggage examination. We propose in this contribution an investigation of the current 3D CT medical image segmentation methods for use in this new domain. Experimental results of 3D segmentation on real CT baggage security imagery using a range of techniques are presented and discussed.

Citation Download Citation

Najla Megherbi, Toby P. Breckon, and Greg T. Flitton "Investigating existing medical CT segmentation techniques within automated baggage and package inspection", Proc. SPIE 8901, Optics and Photonics for Counterterrorism, Crime Fighting and Defence IX; and Optical Materials and Biomaterials in Security and Defence Systems Technology X, 89010L (16 October 2013); https://doi.org/10.1117/12.2028509

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