Subway tunnel crack detection method based on image processing

Chun Shuang Fu; Chuan Hui Wu; Qing Song Zhao

doi:10.1117/12.3005008

20 October 2023 Subway tunnel crack detection method based on image processing

Chun Shuang Fu, Chuan Hui Wu, Qing Song Zhao

Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 1291602 (2023) https://doi.org/10.1117/12.3005008
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China

Abstract

The crack of subway tunnel seriously affects the service life of the tunnel and endangers the safety of subway traffic. The efficiency of manual detection is low, this paper proposes a tunnel crack detection method based on image processing. The images of tunnel cracks collected inside the subway tunnel suffer from problems such as uneven lighting, low contrast, and severe noise, which affect the recognition of cracks. To address these issues, a multi-scale Retinex algorithm combined with linear stretching is firstly used to preprocess the images, effectively balancing the lighting. Secondly, an improved adaptive median filter algorithm is used to filter out image noise while effectively preserving the crack edges. Thirdly, the Scharr operator combined with the Otsu method is used to segment the filtered image, effectively separating the crack area. Fourth, the crack binary image without noise is obtained using connected domain filtering and morphological processing. Finally, the crack length, average width, maximum width, and area are calculated using the crack skeleton image. The research results show that the proposed algorithm can effectively identify crack areas, demonstrating its effectiveness.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chun Shuang Fu, Chuan Hui Wu, and Qing Song Zhao "Subway tunnel crack detection method based on image processing", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 1291602 (20 October 2023); https://doi.org/10.1117/12.3005008

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KEYWORDS

Image filtering

Digital filtering

Image segmentation

Image processing

Gaussian filters

Image processing algorithms and systems

Binary data

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