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

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

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

Author(s) -

Najla Megherbi,

Toby P. Breckon,

Greg T. Flitton

Publication year - 2013

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.2028509

Subject(s) - segmentation , computer vision , computer science , artificial intelligence , image segmentation , context (archaeology) , scale space segmentation , computed tomography , medical imaging , segmentation based object categorization , domain (mathematical analysis) , medicine , radiology , geography , mathematics , mathematical analysis , archaeology

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.

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