Automatic classification and isolation of cracks on masonry surfaces using deep transfer learning and semantic segmentation-Reference-Cited by-同舟云学术

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Automatic classification and isolation of cracks on masonry surfaces using deep transfer learning and semantic segmentation

Published:2023-03-22 Issue:1 Volume:8 Page:
ISSN:2365-3159
Container-title:Journal of Building Pathology and Rehabilitation
language:en
Short-container-title:J Build Rehabil

Author:

Aliu Abdulmalik Adozuka,Ariff Nor Rima Muhamad,Ametefe Divine Senanu,John Dah

Publisher

Springer Science and Business Media LLC

Subject

Building and Construction,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s41024-023-00274-6.pdf

Reference53 articles.

1. Ai D, Jiang G, Lam SK, He P, Li C (2023) Computer vision framework for crack detection of civil infrastructure—a review. Eng Appl Artif Intell. https://doi.org/10.1016/j.engappai.2022.105478

2. Mirbod M, Shoar M (2023) Intelligent concrete surface cracks detection using computer vision, pattern recognition, and artificial neural networks. Procedia Comput Sci 217:52–61. https://doi.org/10.1016/j.procs.2022.12.201

3. Zhong J et al (2023) A deeper generative adversarial network for grooved cement concrete pavement crack detection. Eng Appl Artif Intell. https://doi.org/10.1016/j.engappai.2022.105808

4. Guo F, Qian Y, Liu J, Yu H (2023) Pavement crack detection based on transformer network. Autom Constr 145:104646. https://doi.org/10.1016/j.autcon.2022.104646

5. MohtashamKhani M et al (2020) Deep-learning-based crack detection with applications for the structural health monitoring of gas turbines. Struct Health Monit 19(5):1440–1452. https://doi.org/10.1177/1475921719883202

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1. Semantic Segmentation of Cracks on Masonry Surfaces Using Deep-Learning Techniques;Practice Periodical on Structural Design and Construction;2024-05

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