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3D CT baggage image enhancement based on order statistic decomposition

机译:基于阶数统计分解的3D CT行李图像增强

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Baggage scanning systems are widely used at security checkpoint in airports for homeland security applications. However, the CT baggage images suffer from background noise and the presence of low contrast. To address this problem, this paper introduces a new 3D CT baggage image enhancement algorithm using order statistic decomposition. Computer simulation and comparisons are given to demonstrate the excellent enhancement performance of the presented new algorithm and its capability of significantly improving visual quality of CT images while removing the background noise.
机译:行李扫描系统广泛用于机场的安全检查站,用于国土安全应用。但是,CT行李图像会受到背景噪声和低对比度的影响。为了解决这个问题,本文介绍了一种新的使用顺序统计分解的3D CT行李图像增强算法。通过计算机仿真和比较,证明了所提出的新算法的出色增强性能,以及在消除背景噪声的同时显着提高CT图像视觉质量的能力。

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