Image-based Defect Assessment
Image-Based Defect Assessment is a methodological framework within asset condition assessment that uses visual data captured through imaging technologies to identify, classify, and quantify defects in engineered systems or structures, distinguishing itself by relying on image analysis algorithms and computer vision techniques rather than physical sensors or manual inspection.
180
Publications
6.6K
Citations
688
Authors
238
Institutions
Publications per year
2017–2026
94
Parents
180
1–5 of 180
688
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238

South China University of Technology
Guangzhou, China
3 h-index
11 publications
493 citations
Kyungpook National University
Daegu, South Korea
3 h-index
7 publications
111 citations
Guangdong University of Technology
Guangzhou, China
3 h-index
18 publications
840 citations

Harbin Institute of Technology
Harbin, China
3 h-index
4 publications
62 citations

Chaoyang University of Technology
Taichung, Taiwan
3 h-index
7 publications
136 citations

Zhejiang University
Hangzhou, China
3 h-index
14 publications
507 citations

National Taipei University of Technology
Taipei, Taiwan
2 h-index
6 publications
111 citations

National Institute of Advanced Industrial Science and Technology
Tsukuba, Japan
2 h-index
2 publications
32 citations
1–8 of 238
11 publications · 691 citations
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5 publications · 71 citations
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4 publications · 163 citations
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4 publications · 115 citations
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4 publications · 173 citations
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