Pavement crack detection using non‐local theory and iterative sampling-Reference-Cited by-同舟云学术

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Pavement crack detection using non‐local theory and iterative sampling

Published:2021-12-24 Issue:3 Volume:16 Page:869-877
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Wei Zixian¹^ORCID,SUN Tao¹^ORCID,Wu Yuhao¹^ORCID,Zhou Liqing¹^ORCID,Ruan Xiaoli²³^ORCID

Affiliation:

1. Electronic Information School Wuhan University Wuhan People's Republic of China

2. China Railway Bridge Science Research Institute Ltd. Wuhan People's Republic of China

3. State Key Laboratory for Health and Safety of Bridge Structures Wuhan People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12393

Reference36 articles.

1. Histogram‐Based Approach for Automated Pavement‐Crack Sensing

2. Li Q. Liu X.:Novel approach to pavement image segmentation based on neighboring difference histogram method. In:2008 Congress on Image and Signal Processing vol. 2 pp. 792–796.IEEE Piscataway(2008)

3. Critical Assessment of Pavement Distress Segmentation Methods

4. A Novel LBP Based Methods for Pavement Crack Detection

5. Beamlet Transform-Based Technique for Pavement Crack Detection and Classification

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of the Deep Learning Methodology for the Detection of Cracks in Asphalt Roads;Smart Innovation, Systems and Technologies;2024

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