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Updated: Jul 7, 2025

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水下结构光条纹中心提取与正常化的灰度重力方法.

Shuaishuai Li1,2, Xiang Gao3, Zexiao Xie1,2

  • 1College of Engineering, Ocean University of China, Qingdao 266100, China.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
概括

这项研究引入了一种新的正常化灰度引力方法,用于精确的水下激光条纹中心提取. 该方法增强了强度和自我适应性,有效地消除了在具有挑战性的水下环境中噪音干扰.

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科学领域:

  • 机器人和自动化机器人与自动化
  • 计算机视觉 计算机视觉
  • 光学工程是指光学工程.

背景情况:

  • 水下激光测量由于表面反射不均和环境干扰而面临挑战.
  • 精确的激光条纹中心提取对于水下环境的3D重建和分析至关重要.

研究的目的:

  • 开发一种可靠的方法,用于精确的水下激光条纹中心提取.
  • 为了解决反射率不均和环境干扰对测量准确度的影响.

主要方法:

  • 构建一个全面的水下结构光数据集,具有不同的条件.
  • 将最先进的语义细分模型进行比较,推PSPnet.
  • 通过双线插值实现正常化的灰度引力方法,提高了稳定性和亚像素精度.

主要成果:

  • 拟议的标准化灰度重力法有效消除噪声干扰.
  • 该方法在各种水下条件下表现出良好的强度和自我适应性.
  • PSPnet被认为是水下结构光条细分的合适模型.

结论:

  • 开发的方法显著提高了在水下环境中的激光条纹中心提取精度.
关键词:
轻条纹中心提取取光线标准化的灰度级重力方法.在水下进行水下测量.在水下语义细分的水下语义细分.

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  • 该方法为具有挑战性的水下光学测量提供了可靠的解决方案.
  • 该研究有助于推进水下3D传感技术.