Regular Articles

Lining seam elimination algorithm and surface crack detection in concrete tunnel lining

[+] Author Affiliations
Zhong Qu

Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, No. 2 Chongwen Road, Nanan District, Chongqing 400065, China

Chongqing University of Posts and Telecommunications, School of Software Engineering, No. 2 Chongwen Road, Nanan District, Chongqing 400065, China

Chongqing Engineering Research Center of Software Quality Assurance, Testing and Assessment, No. 2 Chongwen Road, Nanan District, Chongqing 400065, China

Ling Bai, Shi-Quan An

Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, No. 2 Chongwen Road, Nanan District, Chongqing 400065, China

Fang-Rong Ju

Chongqing University of Posts and Telecommunications, School of Software Engineering, No. 2 Chongwen Road, Nanan District, Chongqing 400065, China

Ling Liu

Chongqing University of Posts and Telecommunications, College of Mobile Telecommunications, Holiday Avenue, Hechuan District, Chongqing 401520, China

J. Electron. Imaging. 25(6), 063004 (Nov 17, 2016). doi:10.1117/1.JEI.25.6.063004
History: Received June 28, 2016; Accepted October 26, 2016
Text Size: A A A

Abstract.  Due to the particularity of the surface of concrete tunnel lining and the diversity of detection environments such as uneven illumination, smudges, localized rock falls, water leakage, and the inherent seams of the lining structure, existing crack detection algorithms cannot detect real cracks accurately. This paper proposed an algorithm that combines lining seam elimination with the improved percolation detection algorithm based on grid cell analysis for surface crack detection in concrete tunnel lining. First, check the characteristics of pixels within the overlapping grid to remove the background noise and generate the percolation seed map (PSM). Second, cracks are detected based on the PSM by the accelerated percolation algorithm so that the fracture unit areas can be scanned and connected. Finally, the real surface cracks in concrete tunnel lining can be obtained by removing the lining seam and performing percolation denoising. Experimental results show that the proposed algorithm can accurately, quickly, and effectively detect the real surface cracks. Furthermore, it can fill the gap in the existing concrete tunnel lining surface crack detection by removing the lining seam.

© 2016 SPIE and IS&T

Citation

Zhong Qu ; Ling Bai ; Shi-Quan An ; Fang-Rong Ju and Ling Liu
"Lining seam elimination algorithm and surface crack detection in concrete tunnel lining", J. Electron. Imaging. 25(6), 063004 (Nov 17, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.6.063004


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.