Second-Derivative Edge Operators is a class of edge detection methods that localizes edges by identifying zero-crossings in the second derivative of the image intensity function, distinguishing itself from first-derivative approaches through its reliance on curvature and Laplacian-based features for detecting sharp transitions.
37
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9.4K
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65
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47
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Publications per year
2017–2026
5
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Publications
37
Finding Edges and Lines in Images
John Canny · DSpace@MIT (Massachusetts Institute of Technology) · 1983 · 809 citations · Full text
J. Lee, Linda G. Shapiro · IEEE Journal on Robotics and Automation · 1987 · 281 citations
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65
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Institutions
47
Virginia Tech
Blacksburg, United States
3 h-index
5 publications
1.2K citations
Université Toulouse III - Paul Sabatier
Toulouse, France
2 h-index
3 publications
113 citations
University of Washington
Seattle, United States
2 h-index
5 publications
56 citations
Artificial Intelligence in Medicine (Canada)
Toronto, Canada
2 h-index
4 publications
12.4K citations
University of Potsdam
Potsdam, Germany
2 h-index
3 publications
38 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
214 citations
Ghent University
Ghent, Belgium
1 h-index
1 publications
12 citations
University of Gonabad
Gonābād, Iran
1 h-index
1 publications
67 citations
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Venues
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 4 publications · 1.3K citations
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- Signal Processing
2 publications · 80 citations
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- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
2 publications · 72 citations
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- DSpace@MIT (Massachusetts Institute of Technology)
Repository · 2 publications · 829 citations
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- Journal of Computer Science
1 publications · 50 citations
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