Crack Image Analysis
Crack Image Analysis is a computational method in structural health monitoring that systematically processes and interprets visual data to detect, segment, and quantify crack characteristics in materials, distinguishing itself through automated feature extraction and measurement tailored specifically to crack morphology.
848
Publications
47.9K
Citations
2.8K
Authors
892
Institutions
Publications per year
2017–2026
551
Parents
848
CrackTree: Automatic crack detection from pavement images
Qin Zou, Yu Cao, Qingquan Li et al. · Pattern Recognition Letters · 2011 · 1.1K citations
1–5 of 848
2.8K
6
h-index
Ulsan National Institute of Science and Technology, South Korea
6 publications · 408 citations
6
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6
h-index
6
h-index
6
h-index
1–5 of 2.8K
892
Chang'an University
Xi'an, China
20 h-index
81 publications
3.5K citations
Tongji University
Shanghai, China
17 h-index
52 publications
4.4K citations

Southeast University
Nanjing, China
17 h-index
63 publications
5.2K citations

Southwest Jiaotong University
Chengdu, China
16 h-index
48 publications
2.1K citations

Hohai University
Nanjing, China
16 h-index
53 publications
3.3K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
55 publications
1.7K citations

Central South University
Changsha, China
11 h-index
52 publications
1.7K citations
Wuhan University
Wuhan, China
10 h-index
26 publications
4.5K citations
1–8 of 892
62 publications · 6.3K citations
44
h-index
38 publications · 3.2K citations
28
h-index
17 publications · 2.9K citations
17
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21 publications · 1.2K citations
17
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CACAIE · 19 publications · 1.7K citations
17
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