![](/images/graphics-bg.png)
Image-Based Framework for Concrete Surface Crack Monitoring and Quantification
Joint Authors
Chen, ZhiQiang
Hutchinson, Tara C.
Source
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-06-07
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
In the engineering community, nondestructive imaging has been widely used for damage identification by capturing anomalies on the surface or inside of structural elements.
In this paper, we focus on one of the most common damage types observed in civil engineering, namely, concrete surface cracks.
To identify this type of damage, we propose an image-based framework, whereby optical cameras provide the source images.
The framework involves several advanced image processing methods, including: (i) the determination of damage occurrence using time-series images, (ii) the localization of damage at each image frame, and (iii) the geometric quantification of damage.
Challenges that may arise when images are obtained in the laboratory or field environment are addressed.
Two application examples are provided to demonstrate the use and effectiveness of the proposed approach.
American Psychological Association (APA)
Chen, ZhiQiang& Hutchinson, Tara C.. 2010. Image-Based Framework for Concrete Surface Crack Monitoring and Quantification. Advances in Civil Engineering،Vol. 2010, no. 2010, pp.1-18.
https://search.emarefa.net/detail/BIM-455201
Modern Language Association (MLA)
Chen, ZhiQiang& Hutchinson, Tara C.. Image-Based Framework for Concrete Surface Crack Monitoring and Quantification. Advances in Civil Engineering No. 2010 (2010), pp.1-18.
https://search.emarefa.net/detail/BIM-455201
American Medical Association (AMA)
Chen, ZhiQiang& Hutchinson, Tara C.. Image-Based Framework for Concrete Surface Crack Monitoring and Quantification. Advances in Civil Engineering. 2010. Vol. 2010, no. 2010, pp.1-18.
https://search.emarefa.net/detail/BIM-455201
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-455201