Image mosaicking of a section of a tunnel lining and the detection of cracks through the frequency histogram of connected elements concept

Abhijeet Mohanty; Tai Tien Wang

doi:10.1117/12.917800

15 November 2011 Image mosaicking of a section of a tunnel lining and the detection of cracks through the frequency histogram of connected elements concept

Abhijeet Mohanty, Tai Tien Wang

Author Affiliations +

Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 83351P (2011) https://doi.org/10.1117/12.917800
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China

Abstract

This study aims to further the image mosaic technology, which helps to assemble the images obtained from a digital camera and eventually obtain a layout image of the lining surface. With the extensive use of mathematical correlations for distortions produced due to perspective, the errors and use of other machines has significantly reduced. The layout of the lining surface obtained from successive mosaic of partially overlapping images, which are represented as 2D orthographic-like and are rectified to form the 3D tunnel-lining surface. A test was carried out in the experimental tunnel to validate the proposed method and to examine its practicability. The anomalies on the tunnel-lining surface are usually cracks or a water leakage at any point, neither of which were identifiable through edge detection. Through the application of a slightly modified Frequency Histogram of Connected Elements method, the resultant image successfully identified the anomalies on the tunnel lining.

Citation Download Citation

Abhijeet Mohanty and Tai Tien Wang "Image mosaicking of a section of a tunnel lining and the detection of cracks through the frequency histogram of connected elements concept", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351P (15 November 2011); https://doi.org/10.1117/12.917800

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