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Proceedings Paper

Application of PDE methods for image-based concrete surface damage detection
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Paper Abstract

Tremendous progress has been achieved in image analysis and processing, and in particular, the use of partial differential equation (PDE) methods in image analysis has proliferated in recent years. However, PDE methods have seen little application to optical image-based structural damage detection for civil systems. This paper applies the Chan-Vese active contour model and its level set representation to detect concrete surface damage, in this case concrete cracks, in optical images. The detected cracks can be further characterized by extracted geometric quantities including their width, length and area of coverage, and associated with engineering design. With regard to crack width extraction, an approximate method is proposed, which relies on solving for a signed distance function. We test these methods by using synthetic images as well as real multi-temporal images from a laboratory experiment. This paper illustrates that using the proposed methods, cracks with complex topographical patterns can be successfully detected with sufficient accuracy.

Paper Details

Date Published: 19 April 2007
PDF: 12 pages
Proc. SPIE 6531, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2007, 65310N (19 April 2007); doi: 10.1117/12.715849
Show Author Affiliations
ZhiQiang Chen, Univ. of California, San Diego (United States)
Tara C. Hutchinson, Univ. of California, San Diego (United States)


Published in SPIE Proceedings Vol. 6531:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2007
H. Felix Wu; Aaron A. Diaz; Peter J. Shull, Editor(s)

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