A vision-based method for displacement measurement using cross-sinusoidal composite fringe pattern - Details

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Abstract：

Recent　advancements　in　computer　vision　have　attracted　significant　attention　in　the　field　of　structural　health　monitoring.　This　paper　introduces　a　long-distance　vision　system　for　structural　dynamic　measurement　using　a　novel　cross-sinusoidal　composite　fringe　pattern　(CSCFP)　as　a　marker　fixed　on　the　measured　structures.　The　innovation　of　this　marker　lies　in　using　fringe　internal　global　changing　information　characterized　by　correlation　analysis　for　encoding　structural　dynamic　information,　which　can　achieve　measurement　of　micro-meter　level　displacement　at　long　distances.　In　addition,　the　proposed　displacement　extraction　method　and　algorithm　has　good　robustness　to　image　noise,　image　resolution　and　environment　interference.　The　simulation　and　experimental　results　verify　the　feasibility,　correctness,　and　accuracy　of　the　proposed　system　for　structure　displacement　measurement,　making　it　suitable　for　structure　health　monitoring.　©　2025

Keyword：

Computer vision Displacement measurement Image resolution Micrometers Structural dynamics Structural health monitoring

Community：

[ 1 ] [Zhong, Jianfeng]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
[ 2 ] [Shi, Yuhan]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
[ 3 ] [Lin, Qihui]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
[ 4 ] [Qiu, Jihan]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
[ 5 ] [Wang, Bing]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
[ 6 ] [Zhang, Qiukun]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
[ 7 ] [Huang, Yunhua]Sansteel Minguang Co., Ltd., Fujian, Sanming; 365000, China
[ 8 ] [Ye, Aili]Sansteel Minguang Co., Ltd., Fujian, Sanming; 365000, China
[ 9 ] [Zhong, Shuncong]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source ：

Mechanical Systems and Signal Processing

ISSN： 0888-3270

Year： 2025

Volume： 237

7 . 9 0 0

JCR@2023

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ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 1

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