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

机译:基于分类器的基于CT的行李筛查中潜在威胁的检测方法

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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.
机译:近年来,越来越多地使用基于计算机断层扫描(CT)的无人行李和包裹检查(UBPS)系统来检查行李,以确保航空旅行的安全。在本文中,我们将通过结合3D医学图像分割技术与3D形状分类和检索方法,开发一种自动检测来自UBPS系统的凌乱3D CT图像中潜在威胁项目的系统的研究工作。

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