Currently, the security of large civil engineering structures
more and more people's attention, health monitoring study civil
engineering at home and abroad is one of the hot topics of research.
After a hundred years of research, the traditional structural health
monitoring theories and methods continue to improve, and now
there have been a lot to be able to use the results of the actual
engineering and have been widely applied to large bridges and
other structures, but there is a lot of its own defect. With the
development of computer technology, people began to use
computer vision to health monitoring, and gradually formed a
monitoring method of mechanical vision. This paper introduces the
significance and application health monitoring methods, and some
of the traditional health monitoring methods are introduced. Then
reviewed the development and the use of machine vision health
status monitoring, and finally to crack measuring, for example,
using wavelet recognition method for image recognition and
analysis of fracture.
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ISSN: 2472-0836
Journal of Mechanical and Automation Engineering
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Original Research
Article in Press
Computer Vision Methodology for Structural Health Monitoring
Li-Hong Juang*, Wei-Jen Chen and Lixin Zheng
Corresponding Author: Li-Hong Juang
Received: Jan 13, 2016
Accepted: Feb 09, 2016
Published: Feb 12, 2016
Views: 5
DOI: 10.14437
Abstract
Li-Hong Juang (2016), Computer Vision Methodology for Structural Health Monitoring. J Mech Auto Eng 1:105
Copyright:
Copyright: © 2016 JMAE. This is an open-access article distributed under the terms of the Creative Commons Attribution License, Version 3.0, which permits unrestricted use,
distribution, and reproduction in any medium, provided the original author and source are credited.
distribution, and reproduction in any medium, provided the original author and source are credited.
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