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在内镜中评估自动亮度控制的方法考虑:实验研究实验研究.

Nishitha Ravichandran1, Preejith Sreelatha Premkumar2, Mohanasankar Sivaprakasam1,2

  • 1Department of Electrical Engineering, Indian Institute of Technology, Madras, Chennai 600036, India.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种三部分方法,用于评估内镜中的自动亮度控制 (ABC) 算法,这对于清晰的成像至关重要. 综合性评估揭示了权衡,有助于开发优质的ABC系统,以获得更好的内镜可视化.

关键词:
自动控制亮度的自动控制颜色呈现 颜色呈现控制器响应控制器响应图像的亮度 图像的亮度

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科学领域:

  • 医疗成像医学成像
  • 光学工程是指光学工程.
  • 控制系统 控制系统

背景情况:

  • 内镜需要适应性照明,以在不同的条件下获得最佳的图像质量.
  • 自动亮度控制 (ABC) 算法对于在内镜成像中保持一致的亮度和准确的色彩染至关重要.
  • 高质量的ABC算法对于在内镜手术中实现诊断准确性至关重要.

研究的目的:

  • 为客观评估内镜中的ABC算法提出和验证一个全面的三评估方法.
  • 使用拟议的评估框架分析商业和开发ABC算法的性能.
  • 了解ABC系统中亮度均性,控制器响应和色彩染之间的相互依赖和权衡.

主要方法:

  • 开发了一个三项评估框架,评估图像亮度/均性,控制器响应/时间和色彩染.
  • 对一个商业内镜系统和两个发育内镜系统进行实验研究.
  • 使用缓冲比率和响应时间量化系统稳定性.

主要成果:

  • 一个商业系统表现出稳定的性能 (0.4秒响应,缓冲比为0.597),但颜色呈现不足最佳.
  • 发育系统表现出缓慢的 (>1s) 或不稳定的 (抑制比>1,导致闪) 反应.
  • 拟议的多参数评估揭示了与单参数评估不明显的性能权衡.

结论:

  • 综合,多参数评估优于单参数方法来评估ABC算法.
  • 拟议的方法有助于设计和优化内镜的ABC算法.
  • 这些发现有助于开发先进的ABC系统,以提高内镜成像质量和诊断能力.