摘要
本文基于机器视觉技术研究设计了一种轨道交通盾构衬砌病害检测系统。该系统由机器视觉图像采集和图像处理两部分组成,应用了一系列图像处理技术,实现隧道衬砌图像的自动采集及病害特征自动识别提取,提高了城轨交通运营期隧道衬砌病害检测工作的自动化及智能化水平。
This paper designs a machine vision inspection system for tunnel lining defects.The system is composed of machine vision image acquisition and image processing.Based on a series of image processing techniques,the system realizes the collection of tunnel lining images and extraction of disease features automatically.It can improve the level of automation and intellectualization of tunnel lining disease detection on the subway operation period.
作者
刘涛
Liu Tao(Shanxi Information Industry Technology Research Institute,Taiyuan Shanxi 030012,China)
出处
《山西电子技术》
2019年第3期80-83,共4页
Shanxi Electronic Technology
基金
山西省重点研发计划(指南)项目国际科技合作方面:基于环形阵列视觉的地铁管片病害检测系统(201703D421011)
关键词
机器视觉检测
图像处理
裂缝检测
machine vision inspection
image processing
lining detectio
