Structural Surface Identification of Tunnel Face under Complex Conditions

DOI

10.2991/978-94-6463-728-1_75How to use a DOI?

Keywords

Tunnel Engineering; Dark Channel Prior; Dehazing Algorithm; Image Enhancement; Structural Surface Identification

Abstract

The tunneling engineering plays a pivotal role in infrastructure construction. However, due to the complex construction environment, photographs of tunnel surface are often obscured by dust and smoke, which in turn affects the clarity of the photographs and the accurate identification of the structural surface. In this paper, a joint defogging algorithm based on dark channel prior and light source detection is proposed to enhance the effectiveness of dust removal from tunnel interior images under the environment of limited and concentrated tunnel light sources. The algorithm estimates the atmospheric illumination and transmittance of the image through the dark channel prior principle combined with light source detection, and applies the guided filtering technique for detail preservation and defogging enhancement. Experimental results demonstrate that the algorithm exhibits superior performance in terms of image clarity and detail preservation. Subsequently, structural surface features are extracted by single-scale Retinex image enhancement, image preprocessing and morphological processing. The experiments demonstrate that the method effectively enhances the quality of the image and the accuracy of structural surface identification in practical engineering applications, providing reliable data support for tunnel construction.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jianfei Wang
AU  - Qiang Tan
AU  - Chaoyun Hu
AU  - Hong He
AU  - Longbiao Li
AU  - Haiming Liu
AU  - Shuaichen Ren
PY  - 2025
DA  - 2025/05/19
TI  - Structural Surface Identification of Tunnel Face under Complex Conditions
BT  - Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024)
PB  - Atlantis Press
SP  - 811
EP  - 821
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-728-1_75
DO  - 10.2991/978-94-6463-728-1_75
ID  - Wang2025
ER  -