Method for measuring multi-point displacements of structures using Hough transform and optical flow tracking.
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| Title: | Method for measuring multi-point displacements of structures using Hough transform and optical flow tracking. |
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| Authors: | Wang, Dong1, Xu, Tao2 shuishou2017@xpu.edu.cn, Zhang, Shoujing2, Dai, Yang2, Tan, Haihui2 |
| Source: | Insight: Non-Destructive Testing & Condition Monitoring. Apr2026, Vol. 68 Issue 4, p243-250. 8p. |
| Subjects: | Hough transforms, Optical flow, Generative adversarial networks, Structural health monitoring, Displacement (Mechanics), Remote sensing devices, Computer vision, Vibration measurements |
| Abstract: | In structural health monitoring (SHM), recent advancements in computer vision measurement techniques have superseded the constraints imposed by conventional sensors. This paper introduces a multi-point displacement measurement method that integrates the Hough transform with the optical flow method. The technique detects circular markers, extracts the centre of the circle using the Hough transform and utilises optical flow to track the centre of the circle, enabling multi-point displacement measurement. This approach is not only applicable to translational targets but also to rotational targets. To enhance marker recognition and tracking accuracy, super-resolution generative adversarial network (SRGAN) preprocessing is introduced to improve image details. The maximum vibration error during the shaker test was 0.09 mm. The experimental results demonstrate that the proposed method achieves high accuracy and stability under different vibration frequencies, rendering it suitable for non-contact dynamic monitoring of complex structures. [ABSTRACT FROM AUTHOR] |
| Copyright of Insight: Non-Destructive Testing & Condition Monitoring is the property of British Institute of Non-Destructive Testing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193079578 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Method for measuring multi-point displacements of structures using Hough transform and optical flow tracking. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Dong%22">Wang, Dong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Xu%2C+Tao%22">Xu, Tao</searchLink><relatesTo>2</relatesTo><i> shuishou2017@xpu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Shoujing%22">Zhang, Shoujing</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Dai%2C+Yang%22">Dai, Yang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Tan%2C+Haihui%22">Tan, Haihui</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Insight%3A+Non-Destructive+Testing+%26+Condition+Monitoring%22">Insight: Non-Destructive Testing & Condition Monitoring</searchLink>. Apr2026, Vol. 68 Issue 4, p243-250. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Hough+transforms%22">Hough transforms</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+flow%22">Optical flow</searchLink><br /><searchLink fieldCode="DE" term="%22Generative+adversarial+networks%22">Generative adversarial networks</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+health+monitoring%22">Structural health monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Displacement+%28Mechanics%29%22">Displacement (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing+devices%22">Remote sensing devices</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink><br /><searchLink fieldCode="DE" term="%22Vibration+measurements%22">Vibration measurements</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In structural health monitoring (SHM), recent advancements in computer vision measurement techniques have superseded the constraints imposed by conventional sensors. This paper introduces a multi-point displacement measurement method that integrates the Hough transform with the optical flow method. The technique detects circular markers, extracts the centre of the circle using the Hough transform and utilises optical flow to track the centre of the circle, enabling multi-point displacement measurement. This approach is not only applicable to translational targets but also to rotational targets. To enhance marker recognition and tracking accuracy, super-resolution generative adversarial network (SRGAN) preprocessing is introduced to improve image details. The maximum vibration error during the shaker test was 0.09 mm. The experimental results demonstrate that the proposed method achieves high accuracy and stability under different vibration frequencies, rendering it suitable for non-contact dynamic monitoring of complex structures. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Insight: Non-Destructive Testing & Condition Monitoring is the property of British Institute of Non-Destructive Testing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193079578 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1784/insi.2026.68.4.243 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 243 Subjects: – SubjectFull: Hough transforms Type: general – SubjectFull: Optical flow Type: general – SubjectFull: Generative adversarial networks Type: general – SubjectFull: Structural health monitoring Type: general – SubjectFull: Displacement (Mechanics) Type: general – SubjectFull: Remote sensing devices Type: general – SubjectFull: Computer vision Type: general – SubjectFull: Vibration measurements Type: general Titles: – TitleFull: Method for measuring multi-point displacements of structures using Hough transform and optical flow tracking. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Dong – PersonEntity: Name: NameFull: Xu, Tao – PersonEntity: Name: NameFull: Zhang, Shoujing – PersonEntity: Name: NameFull: Dai, Yang – PersonEntity: Name: NameFull: Tan, Haihui IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13542575 Numbering: – Type: volume Value: 68 – Type: issue Value: 4 Titles: – TitleFull: Insight: Non-Destructive Testing & Condition Monitoring Type: main |
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