Nonmaximum Suppression
Nonmaximum Suppression is an edge detection algorithmic technique that belongs to the class of post-processing methods used in image gradient analysis, specifically distinguished by its function of preserving only local maxima in the gradient magnitude while suppressing non-maximal responses along the edge direction to produce thin, accurate edge contours.
104
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10.6K
Citations
376
Authors
145
Institutions
Publications per year
2017–2026
65
Variants
Non-maximum Suppression
Parents
104
Efficient Non-Maximum Suppression
Alexander Neubeck, Luc Van Gool · 2006 · 2K citations
Multiclass spectral clustering
Yu · 2003 · 981 citations
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145

Beijing Institute of Technology
Beijing, China
4 h-index
4 publications
110 citations
Wuhan University
Wuhan, China
4 h-index
4 publications
1.1K citations
Tsinghua University
Beijing, China
4 h-index
4 publications
127 citations

Xidian University
Xi'an, China
4 h-index
4 publications
308 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
3 publications
115 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
3 publications
177 citations

National University of Defense Technology
Changsha, China
3 h-index
3 publications
54 citations

Northwestern Polytechnical University
Xi'an, China
3 h-index
3 publications
62 citations
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GRSL · 9 publications · 326 citations
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7 publications · 117 citations
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5 publications · 1.1K citations
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4 publications · 269 citations
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TPAMI · 4 publications · 1.3K citations
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