An enhanced crack segmentation method using implicit classification and inference rules in steel bridge
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00371-024-03409-z.pdf
Reference70 articles.
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2. Ya, S., Yamada, K., Ishikawa, T.: Fatigue evaluation of rib-to-deck welded joints of orthotropic steel bridge deck. J. Bridge Eng. 16(4), 492–499 (2011). https://doi.org/10.1061/(ASCE)BE.1943-5592.0000181
3. Yoon, H.: Enabling smart city resilience: post-disaster response and structural health monitoring. University of Illinois at Urbana-Champaign, Urbana (2016). https://doi.org/10.14359/51686286
4. Gupta, P., Dixit, M.: Image-based crack detection approaches: a comprehensive survey. Multimed. Tools Appl. 81(28), 40181–40229 (2022). https://doi.org/10.1007/s11042-022-13152-z
5. Peng, L., Chao, W., Shuangmiao, L., et al.: Research on crack detection method of airport runway based on twice-threshold segmentation. In: 2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC), Qinhuangdao, China, pp. 1716–1720 (2015). https://doi.org/10.1109/IMCCC.2015.364
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