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An Advanced Edge-Detection Method for Noncontact Structural Displacement Monitoring

A non-contact vision sensor system for monitoring structural displacements with advanced Zernike subpixel edge detection technique is suggested in this paper. Edge detection can detect features of objects effectively without using templates. Subpixel techniques provide more accurate and cost-effecti...

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Detalles Bibliográficos
Autores principales: Bai, Xin, Yang, Mijia, Ajmera, Beena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506651/
https://www.ncbi.nlm.nih.gov/pubmed/32882809
http://dx.doi.org/10.3390/s20174941
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author Bai, Xin
Yang, Mijia
Ajmera, Beena
author_facet Bai, Xin
Yang, Mijia
Ajmera, Beena
author_sort Bai, Xin
collection PubMed
description A non-contact vision sensor system for monitoring structural displacements with advanced Zernike subpixel edge detection technique is suggested in this paper. Edge detection can detect features of objects effectively without using templates. Subpixel techniques provide more accurate and cost-effective results when compared to integer pixel methods. Built on these two techniques, a new version sensor method was developed to detect the vibrations of structures in this study. Satisfactory agreements were found between the displacements measured by the vision sensor system and those recorded by the Multipurpose Testing System (MTS). A field test was then carried out on a street sign using the proposed vision system. Satisfactory results were obtained using the new version of the sensor system at many points simultaneously without any manually marked targets. Moreover, the system was able to provide natural frequencies and mode shapes of the target instantaneously, which could be used to accurately locate damage.
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spelling pubmed-75066512020-09-26 An Advanced Edge-Detection Method for Noncontact Structural Displacement Monitoring Bai, Xin Yang, Mijia Ajmera, Beena Sensors (Basel) Letter A non-contact vision sensor system for monitoring structural displacements with advanced Zernike subpixel edge detection technique is suggested in this paper. Edge detection can detect features of objects effectively without using templates. Subpixel techniques provide more accurate and cost-effective results when compared to integer pixel methods. Built on these two techniques, a new version sensor method was developed to detect the vibrations of structures in this study. Satisfactory agreements were found between the displacements measured by the vision sensor system and those recorded by the Multipurpose Testing System (MTS). A field test was then carried out on a street sign using the proposed vision system. Satisfactory results were obtained using the new version of the sensor system at many points simultaneously without any manually marked targets. Moreover, the system was able to provide natural frequencies and mode shapes of the target instantaneously, which could be used to accurately locate damage. MDPI 2020-09-01 /pmc/articles/PMC7506651/ /pubmed/32882809 http://dx.doi.org/10.3390/s20174941 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Letter
Bai, Xin
Yang, Mijia
Ajmera, Beena
An Advanced Edge-Detection Method for Noncontact Structural Displacement Monitoring
title An Advanced Edge-Detection Method for Noncontact Structural Displacement Monitoring
title_full An Advanced Edge-Detection Method for Noncontact Structural Displacement Monitoring
title_fullStr An Advanced Edge-Detection Method for Noncontact Structural Displacement Monitoring
title_full_unstemmed An Advanced Edge-Detection Method for Noncontact Structural Displacement Monitoring
title_short An Advanced Edge-Detection Method for Noncontact Structural Displacement Monitoring
title_sort advanced edge-detection method for noncontact structural displacement monitoring
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506651/
https://www.ncbi.nlm.nih.gov/pubmed/32882809
http://dx.doi.org/10.3390/s20174941
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