Baggage inspection is the principal safeguard against the transportation of prohibited and potentially dangerous materials at airport security checkpoints. Although traditionally performed by 2D X-ray based scanning, increasingly stringent security regulations have led to a growing demand for more advanced imaging technologies. The role of X-ray Computed Tomography is thus rapidly expanding beyond the traditional materials-based detection of explosives. The development of computer vision and image processing techniques for the automated understanding of 3D baggage-CT imagery is however, complicated by poor image resolutions, image clutter and high levels of noise and artefacts. We discuss the recent and most pertinent advancements and identify topics for future research within the challenging domain of automated image understanding for baggage security screening CT. ud
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机译：行李检查是防止在机场安全检查站运输违禁品和潜在危险品的主要保障措施。尽管传统上是通过基于2D X射线的扫描执行的，但越来越严格的安全法规已导致对更先进的成像技术的需求不断增长。因此，X射线计算机断层扫描的作用正在迅速扩展，超越了传统的基于材料的爆炸物检测。然而，由于视觉分辨率差，图像混乱以及高水平的噪声和伪像，用于自动理解3D行李CT图像的计算机视觉和图像处理技术的开发变得很复杂。我们讨论了最新和最相关的进展，并在行李安全筛查CT的自动图像理解这一具有挑战性的领域内确定了未来研究的主题。 ud
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