Defect Detection of Pipeline Inner Surface Based on Coaxial Digital Image Correlation with Hypercentric Lens

A coaxial dual-camera digital image correlation system using a hypercentric lens was proposed to determine the defect position in the inner wall of a pipeline under loads. Compared with the traditional dual-camera system, this system ensures that both cameras can capture a 360-degree panoramic image...

Descripción completa

Detalles Bibliográficos
Autores principales: Qi, Jiankang, Xu, Mengqiao, Zhang, Weiling, Liu, Yubo, Dai, Xiangjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653717/
https://www.ncbi.nlm.nih.gov/pubmed/36363133
http://dx.doi.org/10.3390/ma15217543
_version_ 1784828749861093376
author Qi, Jiankang
Xu, Mengqiao
Zhang, Weiling
Liu, Yubo
Dai, Xiangjun
author_facet Qi, Jiankang
Xu, Mengqiao
Zhang, Weiling
Liu, Yubo
Dai, Xiangjun
author_sort Qi, Jiankang
collection PubMed
description A coaxial dual-camera digital image correlation system using a hypercentric lens was proposed to determine the defect position in the inner wall of a pipeline under loads. Compared with the traditional dual-camera system, this system ensures that both cameras can capture a 360-degree panoramic image in the same position. Herein, the imaging principle of the system was introduced in detail. In addition, the effectiveness and accuracy of the proposed method were verified through verification and application experiments.
format Online
Article
Text
id pubmed-9653717
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96537172022-11-15 Defect Detection of Pipeline Inner Surface Based on Coaxial Digital Image Correlation with Hypercentric Lens Qi, Jiankang Xu, Mengqiao Zhang, Weiling Liu, Yubo Dai, Xiangjun Materials (Basel) Article A coaxial dual-camera digital image correlation system using a hypercentric lens was proposed to determine the defect position in the inner wall of a pipeline under loads. Compared with the traditional dual-camera system, this system ensures that both cameras can capture a 360-degree panoramic image in the same position. Herein, the imaging principle of the system was introduced in detail. In addition, the effectiveness and accuracy of the proposed method were verified through verification and application experiments. MDPI 2022-10-27 /pmc/articles/PMC9653717/ /pubmed/36363133 http://dx.doi.org/10.3390/ma15217543 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qi, Jiankang
Xu, Mengqiao
Zhang, Weiling
Liu, Yubo
Dai, Xiangjun
Defect Detection of Pipeline Inner Surface Based on Coaxial Digital Image Correlation with Hypercentric Lens
title Defect Detection of Pipeline Inner Surface Based on Coaxial Digital Image Correlation with Hypercentric Lens
title_full Defect Detection of Pipeline Inner Surface Based on Coaxial Digital Image Correlation with Hypercentric Lens
title_fullStr Defect Detection of Pipeline Inner Surface Based on Coaxial Digital Image Correlation with Hypercentric Lens
title_full_unstemmed Defect Detection of Pipeline Inner Surface Based on Coaxial Digital Image Correlation with Hypercentric Lens
title_short Defect Detection of Pipeline Inner Surface Based on Coaxial Digital Image Correlation with Hypercentric Lens
title_sort defect detection of pipeline inner surface based on coaxial digital image correlation with hypercentric lens
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653717/
https://www.ncbi.nlm.nih.gov/pubmed/36363133
http://dx.doi.org/10.3390/ma15217543
work_keys_str_mv AT qijiankang defectdetectionofpipelineinnersurfacebasedoncoaxialdigitalimagecorrelationwithhypercentriclens
AT xumengqiao defectdetectionofpipelineinnersurfacebasedoncoaxialdigitalimagecorrelationwithhypercentriclens
AT zhangweiling defectdetectionofpipelineinnersurfacebasedoncoaxialdigitalimagecorrelationwithhypercentriclens
AT liuyubo defectdetectionofpipelineinnersurfacebasedoncoaxialdigitalimagecorrelationwithhypercentriclens
AT daixiangjun defectdetectionofpipelineinnersurfacebasedoncoaxialdigitalimagecorrelationwithhypercentriclens

Ejemplares similares