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X-ray imaging for security applications

机译:安全应用程序的X射线成像

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The X-ray screening of luggage by aviation security personnel may be badly hindered by the lack of visual cues to depth in an image that has been produced by transmitted radiation. Two-dimensional "shadowgraphs" with "organic" and "metallic" objects encoded using two different colors (usually orange and blue) are still in common use. In the context of luggage screening there are no reliable cues to depth present in individual shadowgraph X-ray images. Therefore, the screener is required to convert the 'zero depth resolution' shadowgraph into a three-dimensional mental picture to be able to interpret the relative spatial relationship of the objects under inspection. Consequently, additional cognitive processing is required e.g. integration, inference and memory. However, these processes can lead to serious misinterpretations of the actual physical structure being examined. This paper describes the development of a stereoscopic imaging technique enabling the screener to utilise binocular stereopsis and kinetic depth to enhance their interpretation of the actual nature of the objects under examination. Further work has led to the development of a technique to combine parallax data (to calculate the thickness of a target material) with the results of a basis material subtraction technique to approximate the target's effective atomic number and density. This has been achieved in preliminary experiments with a novel spatially interleaved dual-energy sensor which reduces the number of scintillation elements required by 50% in comparison to conventional sensor configurations.
机译:通过航空安全人员的行李箱的X射线筛选可能会受到通过传输辐射产生的图像中的视觉提示对深度的视觉线索严重阻碍。使用两种不同颜色(通常是橙色和蓝色)编码的“有机”和“金属”对象的二维“影子图”仍然是常用的。在行李筛选的背景下,在单个影子图X射线图像中没有深度存在可靠的线索。因此,需要筛选器将“零深度分辨率”影像图转换为三维心理图像,以便能够解释检查下对象的相对空间关系。因此,需要额外的认知处理例如集成,推理和记忆。然而,这些过程可能导致对所检查的实际物理结构的严重误解。本文介绍了立体成像技术的发展,使筛分能够利用双目立体镜和动力学深度来增强它们对检查中物体的实际性质的解释。进一步的工作已经导致了一种技术将视差数据组合(以计算目标材料的厚度)与基材减法技术的结果相近,以近似目标的有效原子数和密度。这已经在初步实验中实现了一种新型空间交错的双能传感器,其与传统的传感器配置相比,减少了50%所需的闪烁元件的数量。

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