Pavement crack detection network based on pyramid structure and attention mechanism-Reference-Cited by-同舟云学术

Pavement crack detection network based on pyramid structure and attention mechanism

Published:2020-05-14 Issue:8 Volume:14 Page:1580-1586
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Xiang Xuezhi¹,Zhang Yuqi¹,El Saddik Abdulmotaleb²

Affiliation:

1. School of Information and Communication Engineering, Harbin Engineering UniversityHarbin150001People's Republic of China

2. School of Electrical Engineering and Computer Science, University of OttawaOttawaONK1N 6N5Canada

Funder

National Natural Science Foundation 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/iet-ipr.2019.0973

Reference39 articles.

1. 2015 Int. Conf. Mixed Design of Integrated Circuits Systems Toruń Poland R. Kapela A. Turkot A. Rybarczyk Asphalt surfaced pavement cracks detection based on histograms of oriented gradients 579 584

2. 2008 Congress on Image and Signal Processing Sanya Hainan Q. Li X. Liu Novel approach to pavement image segmentation based on neighboring difference histogram method 726 729

3. 2010 Int. Conf. on Natural Computation Yantai P. Zhang H. Li Recognition of pavement surface crack 3393 3396

4. 2008 Int. Symp. on Knowledge Acquisition and Modeling Wuhan F. Liu G. Xu Y. Yang Novel approach to pavement cracking automatic detection based on segment extending 610 614

5. 2007 Int. Conf. on Electronic Measurement and Instruments Hangzhou Y. Maode B. Shaobo X. Kun Pavement crack detection and analysis for high‐grade highway 548 552

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