Contour Detection
Contour Detection is a feature detection method that identifies continuous curves or boundaries in an image by differentiating regions of significant intensity variation to extract structural outlines representing object shapes.
2.6K
Publications
198.2K
Citations
6.5K
Authors
1.9K
Institutions
Publications per year
2017–2026
445
Parents
2.6K
Tony F. Chan, Luminita A. Vese · IEEE Transactions on Image Processing · 2001 · 10.3K citations
Vicent Caselles, Ron Kimmel, Guillermo Sapiro · International Journal of Computer Vision · 1997 · 5.2K citations
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1.9K

Centre National de la Recherche Scientifique
Paris, France
30 h-index
137 publications
9.2K citations
Nanyang Technological University
Singapore, Singapore
21 h-index
75 publications
3.9K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
20 h-index
65 publications
7.7K citations

Chinese Academy of Sciences
Beijing, China
20 h-index
104 publications
4.6K citations
University of California, Berkeley
Berkeley, United States
19 h-index
49 publications
32.4K citations
University of California, Los Angeles
Los Angeles, United States
18 h-index
31 publications
25K citations

Harbin Institute of Technology
Harbin, China
18 h-index
78 publications
3.5K citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
17 h-index
74 publications
5.4K citations
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TPAMI · 69 publications · 18.2K citations
48
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96 publications · 10.3K citations
46
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81 publications · 23.1K citations
46
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70 publications · 3.7K citations
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32 publications · 3.9K citations
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