Regular Articles

Surface shape recognition method for crack detection

[+] Author Affiliations
Guoteng Zhao

Chongqing University, Key Lab of Opto-Electronic Technology & Systems of Education Ministry, 174 Shazhengjie Street, Chongqing 400044, China

Tongqing Wang

Chongqing University, Key Lab of Opto-Electronic Technology & Systems of Education Ministry, 174 Shazhengjie Street, Chongqing 400044, China

Junyong Ye

Chongqing University, Key Lab of Opto-Electronic Technology & Systems of Education Ministry, 174 Shazhengjie Street, Chongqing 400044, China

J. Electron. Imaging. 23(3), 033013 (Jun 16, 2014). doi:10.1117/1.JEI.23.3.033013
History: Received October 22, 2013; Revised April 11, 2014; Accepted May 20, 2014
Text Size: A A A

Abstract.  Computer vision-based crack detection methods for large-scale civil structures are mainly developed within the framework of image enhancement and segmentation. In contrast, we propose an idea that converts the images into parametric surfaces and then detects the crack surfaces using shape recognition techniques. The shape variations among noncrack surfaces are caused by approximately isometric deformations, but the dissimilarities between crack and noncrack surfaces are produced by nonisometric deformations. Therefore, the two classes of surfaces can be discriminated by their geodesic distance maps. To tackle the disturbances caused by the gaps in cracks, we develop a dedicated method, steady marching method, for the computation of the distance maps. In the subsequent quantitative comparison, we first construct distance difference matrices from the distance maps. Next, sub-block contrast ratios of these matrices are calculated and used as shape descriptors, which can be directly compared for the surface classification. Experimental results demonstrate that our method achieves a better performance than some typical methods. The extension of our method for crack localization is also presented.

© 2014 SPIE and IS&T

Citation

Guoteng Zhao ; Tongqing Wang and Junyong Ye
"Surface shape recognition method for crack detection", J. Electron. Imaging. 23(3), 033013 (Jun 16, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.3.033013


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.