基于阶统计量分解的三维CT行李图像增强

Yicong Zhou, K. Panetta, S. Agaian
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引用次数: 10

摘要

行李扫描系统在机场安检处广泛应用于国土安全。然而,CT行李图像受到背景噪声和低对比度的影响。为了解决这一问题,本文提出了一种新的基于阶统计量分解的三维CT行李图像增强算法。计算机仿真和对比结果表明,该算法具有良好的增强性能,能够在去除背景噪声的同时显著提高CT图像的视觉质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D CT baggage image enhancement based on order statistic decomposition
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.
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