Damage area identification of underwater structures based on wavelength difference of light source
文献类型:期刊论文
作者 | Wang, Xiang4,6; Xu, Hanhua3,5; Wang, Jinchao2,6; Wang, Baoliang1 |
刊名 | JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
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出版日期 | 2022-03-09 |
页码 | 15 |
关键词 | Underwater structures Damage area Automatic identification Image processing Structure characterization |
ISSN号 | 2190-5452 |
DOI | 10.1007/s13349-022-00558-4 |
英文摘要 | Traditional optical detection of underwater structures suffers from imaging blur affecting underwater object detection tasks. Hence, this work proposes a damaged area recognition method for underwater structures that exploits the differential characteristics of various light source wavelengths, solving the automatic recognition problem of fuzzy images representing underwater structures. Specifically, this paper constructs the spectral variance, local, and global feature representations of an optical image and presents an underwater structure by exploiting the various characteristics of the component images corresponding to different wavelengths. Multiple image features are organically fused through multivariate data fusion, enhancing the optical image of underwater structures. At the same time, we also developed a quantitative characterization method appropriate for underwater structure damage region estimation in optical images that effectively realizes the feature quantization process of the damaged region. Finally, we demonstrate the feasibility and effectiveness of the proposed method on an actual engineering test project. The results highlight that our method improves the image quality and recognition ability of the damaged areas, affording their automatic recognition. Considering image quantization, the suggested technique effectively realizes the quantitative characterization of a damaged area and provides the data support for the health diagnosis of underwater structures. |
资助项目 | Open Projects Foundation of State Key Laboratory for Health and Safety of Bridge Structures[BHSKL-20-05-GF] ; National Natural Science Foundation for the Youth of China[41902294] ; Key Research and Development Plan of Zhejiang Province[2021C03185] |
WOS研究方向 | Engineering |
语种 | 英语 |
WOS记录号 | WOS:000766494400001 |
出版者 | SPRINGER HEIDELBERG |
源URL | [http://119.78.100.198/handle/2S6PX9GI/34663] ![]() |
专题 | 中科院武汉岩土力学所 |
通讯作者 | Wang, Jinchao |
作者单位 | 1.Southwest Geotech & Design Inst China Nucl Ind, Chengdu 610052, Peoples R China 2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 3.Yunnan Key Lab Geotech Engn & Geohazards, Kunming 650051, Yunnan, Peoples R China 4.China Railway Bridge Sci Res Inst Ltd, Wuhan 430034, Peoples R China 5.Kunming Prospecting Design Inst China Nonferrous, Kunming 650051, Yunnan, Peoples R China 6.State Key Lab Hlth & Safety Bridge Struct, Wuhan 430034, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Xiang,Xu, Hanhua,Wang, Jinchao,et al. Damage area identification of underwater structures based on wavelength difference of light source[J]. JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING,2022:15. |
APA | Wang, Xiang,Xu, Hanhua,Wang, Jinchao,&Wang, Baoliang.(2022).Damage area identification of underwater structures based on wavelength difference of light source.JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING,15. |
MLA | Wang, Xiang,et al."Damage area identification of underwater structures based on wavelength difference of light source".JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING (2022):15. |
入库方式: OAI收割
来源:武汉岩土力学研究所
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