A survey: research on image-based detection of concrete structure cracks

Ruoyu Yang; Yibin Zhou

doi:10.1117/12.3055073

11 December 2024 A survey: research on image-based detection of concrete structure cracks

Ruoyu Yang, Yibin Zhou

Proceedings Volume 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024); 134453B (2024) https://doi.org/10.1117/12.3055073
Event: International Conference on Electronics. Electrical and Information Engineering (ICEEIE 2024), 2024, Haikou, China

Abstract

Concrete cracks significantly threaten buildings' safety and service life, necessitating early detection and prevention. The low efficiency and high cost of traditional manual detection methods make obtaining high-quality detection data in complex environments difficult. This paper aims to introduce deep learning artificial neural network-based crack detection methods for concrete components, highlighting the achievements of various algorithmic models in image processing and their performance evaluation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ruoyu Yang and Yibin Zhou "A survey: research on image-based detection of concrete structure cracks", Proc. SPIE 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024), 134453B (11 December 2024); https://doi.org/10.1117/12.3055073

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