Graph-based Segmentation
Graph-Based Segmentation is an image segmentation method that represents an image as a graph structure, where pixels or regions correspond to nodes and their pairwise similarities define weighted edges, enabling partitioning through graph-theoretic algorithms to detect perceptually meaningful regions.
617
Publications
61.4K
Citations
1.8K
Authors
658
Institutions
Publications per year
2017–2026
147
Variants
Graph-theoretic Segmentation
617
1–5 of 617
1.8K
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h-index
Universidade Estadual de Campinas (UNICAMP), Brazil
13 publications · 962 citations
13
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Universidade Estadual de Campinas (UNICAMP), Brazil
12 publications · 454 citations
11
h-index
10
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8
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1–5 of 1.8K
658

Centre National de la Recherche Scientifique
Paris, France
16 h-index
62 publications
2K citations
University of Iowa
Iowa City, United States
16 h-index
76 publications
7.9K citations

Chinese Academy of Sciences
Beijing, China
15 h-index
48 publications
2.2K citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
14 h-index
31 publications
1.6K citations
Princeton University
Princeton, United States
12 h-index
17 publications
5.8K citations
GREYC
Caen, France
11 h-index
25 publications
899 citations
Universidade de São Paulo
São Paulo, Brazil
11 h-index
20 publications
643 citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
40 publications
19.7K citations
1–8 of 658
TPAMI · 24 publications · 23.5K citations
22
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21 publications · 1.5K citations
20
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20 publications · 376 citations
14
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12 publications · 1.2K citations
12
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Repository · 11 publications · 314 citations
10
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