Gradient-Based Edge Detection is a computational method in image processing that identifies edges by estimating the local intensity gradients of an image, distinguishing itself through the use of first-order derivative operators to detect sharp changes in brightness as indicators of edge points.
622
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32.5K
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1.6K
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676
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Publications per year
2017–2026
144
Parents
Publications
622
A survey of edge detection techniques
Larry S. Davis · Computer Graphics and Image Processing · 1975 · 805 citations
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Institutions
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Harbin Institute of Technology
Harbin, China
9 h-index
17 publications
544 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
8 h-index
10 publications
549 citations
University of Maryland, College Park
College Park, United States
7 h-index
12 publications
1.2K citations
Virginia Tech
Blacksburg, United States
7 h-index
9 publications
663 citations
Jilin University
Changchun, China
7 h-index
16 publications
356 citations
Ghent University
Ghent, Belgium
6 h-index
14 publications
601 citations
Xidian University
Xi'an, China
6 h-index
13 publications
440 citations
University of Washington
Seattle, United States
6 h-index
12 publications
371 citations
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Venues
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 20 publications · 3.8K citations
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- IEEE Transactions on Image Processing
20 publications · 1.2K citations
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- Pattern Recognition
14 publications · 835 citations
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- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
17 publications · 418 citations
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- Pattern Recognition Letters
10 publications · 333 citations
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