A pavement crack segmentation method based on deformable convolution and enhanced perceive network-Reference-Cited by-同舟云学术

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A pavement crack segmentation method based on deformable convolution and enhanced perceive network

Published:2024-07-26 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhao Lei,Wei Longsheng^ORCID,Ma Zhi,Liu Zhiheng

Funder

Zhejiang Engineering Research Center of Intelligent Urban Infrastructure

Zhejiang Provincial Natural Science Foundation of China

Open Research Fund of Anhui Province Key Laboratory of Machine Vision Inspection

Science and Technology Research Project of Education Department of Hubei Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-19884-4.pdf

Reference61 articles.

1. Banerjee A, Duflo E, Qian N (2020) On the road: access to transportation infrastructure and economic growth in china. J Dev Econ 145:102442

2. Gupta P, Dixit M (2022) Image-based crack detection approaches: a comprehensive survey. Multimed Tool Appl 81(28):40181–40229

3. Bhat S, Naik S, Gaonkar M, Sawant P, Aswale S, Shetgaonkar P (2020) A survey on road crack detection techniques. In: 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), IEEE, pp 1–6

4. Youquan H, Hanxing Q, Jian W, Wei Z, Jianfang X (2011) Studying of road crack image detection method based on the mathematical morphology. In: 2011 4th International congress on image and signal processing, IEEE, vol 2, pp 967–969

5. Peng L, Chao W, Shuangmiao L, Baocai F (2015) 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), IEEE, pp 1716–1720

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