Research on an Improved Unet-Based Algorithm for Image Segmentation of Cracks in Concrete Bridges-Reference-Cited by-同舟云学术

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Research on an Improved Unet-Based Algorithm for Image Segmentation of Cracks in Concrete Bridges

Published:2024-01-19 Issue: Volume:14 Page:1-6
ISSN:
Container-title:Proceedings of the International Conference on Computer Vision and Deep Learning
language:
Short-container-title:

Author:

Lv Shouming¹^ORCID,Liu Wenjiang²^ORCID,Liu Feng¹^ORCID,Hou Ke³^ORCID

Affiliation:

1. Jinan Urban Construction Group, China

2. School of Aeronautics, Shandong Jiaotong University, China

3. School of Rail Transportation, Shandong Jiaotong University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3653781.3653815

Reference12 articles.

1. Bu, G. P., Chanda, S., Guan, H., (2015). Crack detection using a texture analysis-based technique for visual bridge inspection. *Electronic Journal of Structural Engineering*, 14(1), 41-48.

2. Ruan, X. L., Wang, B., Jing, G. Q., Ji, D. J., Wang, Y. L. (2017). Research on automatic identification technology of surface cracks in bridge concrete structures. *World Bridges*, 45(6), 55-59.

3. Ortolano, M., D'Elia, V., Callegaro, L. (2017). A three-arm current comparator digitally assisted bridge for the comparison of arbitrary four terminal-pair impedances. *IEEE Transactions on Instrumentation and Measurement*, 66(6), 1496.

4. Li, W. B., Yang, B. C. (2015). Concrete bridge crack width detection based on image processing technology. *Hunan Traffic Science and Technology*, 41(01), 119-122.

5. Li, Q. Q. (2014). Research on bridge crack detection algorithm based on image processing technology (Master's thesis). Henan University of Science and Technology.

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