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优化双能X射线图像增强,使用一种新的混合融合方法
Muhammad Fahad1, Tao Zhang1, Sajid Ullah Khan2
1School of Electrical and Information Engineering, Tianjin University, Nankai District, Tianjin, China.
Journal of X-ray science and technology
|December 27, 2024
概括
本研究介绍了一种使用离散波形变换 (DWT) 和静止波形变换 (SWT) 的无声化技术,以改善机场安全的双能X射线成像 (DEXI). 该方法有效减少噪音,提高了安全查中的对象识别准确性.
科学领域:
- 图像处理 图像处理
- 信号处理 信号处理
- 安全技术安全技术.
背景情况:
- 机场安全在很大程度上依赖双能X射线成像 (DEXI) 来检测隐藏的物品.
- 在DEXI中的图像噪声会损害对象识别的准确性,构成安全风险.
研究的目的:
- 开发和验证一个强大的DEXI图像无雾化技术.
- 解决噪音干扰问题,提高机场安全检查中的对象识别.
主要方法:
- 使用离散波形转换 (DWT) 和静止波形转换 (SWT) 进行图像消噪.
- 应用值技术对子带进行噪声降低,同时保持图像细节.
- 重建图像以实现更清晰的表示分析.
主要成果:
- 基于DWT和SWT的无声化在DEXI图像中有效抑制了噪音.
- 在256×256图像中,达到35.23的平均峰值信号噪声比 (PSNR) 和19.52的平均平方误差 (MSE).
- 在512x512图像中获得了平均PSNR36.01和MSE16.29,显示了显著的噪声降低.
结论:
- 拟议的消噪方法显著提高了DEXI图像质量.
- 这种技术显示出强大的潜力,可以提高机场安全查系统的有效性.
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