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2021 | OriginalPaper | Chapter

Crack Detection on Inner Tunnel Surface Using Image Processing

Authors : Debanshu Biswas, Ipsit Nayak, Shaibal Choudhury, Trishaani Acharjee, Sidhant, Mayank Mishra

Published in: Progress in Advanced Computing and Intelligent Engineering

Publisher: Springer Singapore

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Abstract

Cracks in the concrete structures such as cracks in the inner surface of tunnels are minor fault, however, can cause major damage or loss of lives if not checked frequently. The current method of detecting cracked surface is manual inspection by hand measuring tools and drawing sheets which may not be feasible as the tunnel needs to be blocked for a limited time period, till the inspection is in progress. By image processing, we can analyze the digital images captured from inside the tunnel for localization of cracks. The algorithm proposed in this paper can be applied to an image of the cracked surface of a tunnel for detecting the crack. Moreover, the length of the crack can also be measured in pixels.

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Metadata
Title
Crack Detection on Inner Tunnel Surface Using Image Processing
Authors
Debanshu Biswas
Ipsit Nayak
Shaibal Choudhury
Trishaani Acharjee
Sidhant
Mayank Mishra
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-6584-7_1