基于点云的隧道裂纹提取方法

Xiaonan Wu, Ziyu Liu, Ming Huang
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引用次数: 0

摘要

隧道裂缝、渗水、阶段移位变形等问题都会对隧道的安全使用产生很大影响,其中由隧道裂缝引起的事故占很大比例。因此,需要定期对隧道裂缝进行检测。传统的人工检测方法效率较低,容易产生漏检。随着三维激光扫描技术的迅速发展,它可以用于隧道裂缝的提取。本文对隧道点云进行处理,采用CTA算法结合边缘检测实现隧道裂缝的快速检测,最后采用连通域分析的方法提取病害的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Tunnel Crack Extraction Method Based on Point Cloud
Tunnel cracks, water seepage, stage-shift deformation and other problems will have a great impact on the safe use of the tunnel, among which the accidents caused by tunnel cracks account for a large proportion. Therefore, regular detection of tunnel cracks is needed. The traditional manual detection method is less efficient and easy to produce missed detection. With the rapid development of 3D laser scanning technology, it can be used in the extraction of tunnel cracks. In this paper, the tunnel point cloud processing, using CTA algorithm combined with edge detection to achieve rapid detection of tunnel cracks, finally using the method of connected domain analysis to extract the location of the disease.
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