Automatic bridge crack detection using boundary refinement based on real‐time segmentation network-Reference-Cited by-同舟云学术

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Automatic bridge crack detection using boundary refinement based on real‐time segmentation network

Published:2022-05-09 Issue:9 Volume:29 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Structural Contr & Hlth

Author:

Li Gang¹^ORCID,Liu Tong¹^ORCID,Fang Zhongyuan¹^ORCID,Shen Qian¹^ORCID,Ali Jawad¹^ORCID

Affiliation:

1. School of Electronic and Control Engineering Chang'an University Xi'an China

Funder

Guangxi Key Research and Development Program

Key Research and Development Projects of Shaanxi Province

Publisher

Hindawi Limited

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2991

Reference49 articles.

1. Autonomous concrete crack detection using deep fully convolutional neural network

2. Output-only computer vision based damage detection using phase-based optical flow and unscented Kalman filters

3. Automatic Road Crack Detection Using Random Structured Forests

4. LeiT XuJ.Image processing algorithm for sand‐hole defects extraction in casting parts.2018.

5. Fully convolutional networks for semantic segmentation

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