城市隧道表面缺陷视觉检测方法及发展趋势研究

Geng Xu, Mingxin Gao, Feng Liu, Yang Liu
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引用次数: 0

摘要

城市隧道表面缺陷的检测是安全运行和维护的关键问题。结构表面缺陷检测经历了人工目测阶段、人工仪器检测阶段和图像视觉感知阶段三个关键阶段,目前的研究主要集中在第三阶段。本文从传统图像处理和智能机器视觉感知两个层面分析了现有表面缺陷检测技术的现状和存在的问题。相应的,探讨了城市隧道表面缺陷检测技术的未来发展趋势,为城市隧道结构安全状态智能感知的发展提供了解决方案。
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Research on Visual Detection Methods and Development Trends of Surface Defects of Urban Tunnels
The detection of surface defects in urban tunnels is a key focus of safety operations and maintenance. Structural surface defect detection has gone through three key phases: manual visual inspection phase, manual instrumental inspection phase, and image visual perception phase, with most current studies focusing on the third phase. This paper analyses the current situation and problems of existing surface defects detection technologies at two levels: traditional image processing and intelligent machine vision perception. Correspondingly, future trends in surface defect detection techniques for urban tunnels are discussed, which provide solutions for the development of intelligent perception of the structural safety status of urban tunnels.
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