Dual-biprism-based digital image correlation for defect detection of pipelines

Tianyu Yuan; Xiangjun Dai; Xinxing Shao; Zheng Zu; Xiangmeng Cheng; Fujun Yang; Xiaoyuan He

doi:10.1117/1.OE.58.1.014107

24 January 2019 Dual-biprism-based digital image correlation for defect detection of pipelines

Tianyu Yuan, Xiangjun Dai, Xinxing Shao, Zheng Zu, Xiangmeng Cheng, Fujun Yang, Xiaoyuan He

Author Affiliations +

Optical Engineering, Vol. 58, Issue 1, 014107 (January 2019). https://doi.org/10.1117/1.OE.58.1.014107

Abstract

A dual-biprism-based stereo camera system, with an imaging model derived from geometrical optics analysis, is proposed for detection of defects on the external and internal surfaces of pipelines. The proposed system, which comprises two biprisms, a lens, a single camera, and common light sources, overcomes the difference in the camera specifications and synchronization mechanism of conventional two-camera systems. Moreover, different fields of views can be obtained by adjusting the angles of the two prisms and the distance between the dual-biprism and the camera. Measurements can be made even for regions in narrow and small areas using a coaxial illumination and speckle-based three-dimensional digital image correlation method. After a typical experiment performed to verify the efficacy of the proposed system, three different types of defects were accurately detected: (1) a local indentation on the external pipe wall; (2) a weld defect in the pipeline that was measured, and the shape and location retrieved after image processing; and (3) a crack on the internal surface of the pipe determined based on strain calculation. These results validate the proposed system as an efficient and convenient tool for defect detection.

Citation Download Citation

Tianyu Yuan, Xiangjun Dai, Xinxing Shao, Zheng Zu, Xiangmeng Cheng, Fujun Yang, and Xiaoyuan He "Dual-biprism-based digital image correlation for defect detection of pipelines," Optical Engineering 58(1), 014107 (24 January 2019). https://doi.org/10.1117/1.OE.58.1.014107

Received: 1 November 2018; Accepted: 3 January 2019; Published: 24 January 2019

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available