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作者:

Wang, Li (Wang, Li.) | Tang, Chao (Tang, Chao.)

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Scopus SCIE

摘要:

Tunnel cracks are thin and narrow linear targets, and their pixel proportions in images are usually very low, less than 6%; therefore, a method is needed to better detect small crack targets. In this study, a crack detection method based on crack characteristics and an anchor-free framework is investigated. First, the characteristics of cracks are analyzed to obtain the real crack texture, interference noise texture, and targets appearing near each crack as the context information for the model to filter and remove noise. We discuss the crack detection performance of anchor-based and anchor-free algorithms. Then, an optimized anchor-free algorithm is proposed in this paper for crack detection. Based on the advantages of YOLOX-x, we add a semantic enhancement module to better use contextual information. The experimental results show that the anchor-free algorithm performs slightly better than other algorithms in crack detection situations. In addition, the proposed method displays better detection performance for slender and inconspicuous cracks, with an average precision of 0.858.

关键词:

Metro tunnel Anchor-free Cracks Optimized YOLOX-x

作者机构:

  • [ 1 ] [Wang, Li]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, China Minist Educ, Beijing, Peoples R China
  • [ 2 ] [Tang, Chao]Beijing Urban Construct & Surveying Design Res In, Beijing, Peoples R China

通讯作者信息:

  • [Tang, Chao]Beijing Urban Construct & Surveying Design Res In, Beijing, Peoples R China;;

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来源 :

SCIENTIFIC REPORTS

ISSN: 2045-2322

年份: 2024

期: 1

卷: 14

4 . 6 0 0

JCR@2022

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