Canny Edge Detector
The Canny Edge Detector is a computational method in image processing that identifies edges by detecting sharp changes in image intensity through a multi-stage algorithm incorporating noise reduction, gradient calculation, non-maximum suppression, and hysteresis thresholding.
1.1K
Publications
42.5K
Citations
3.2K
Authors
1K
Institutions
Publications per year
2017–2026
428
Parents
1.1K
1–5 of 1.1K
3.2K
6
h-index
5
h-index
4
h-index
École Nationale Supérieure de l'Électronique et de ses Applications, France
4 publications · 279 citations
4
h-index
4
h-index
1–5 of 3.2K
1K

Chinese Academy of Sciences
Beijing, China
16 h-index
50 publications
1.3K citations

Huazhong University of Science and Technology
Wuhan, China
11 h-index
29 publications
743 citations
Chang'an University
Xi'an, China
9 h-index
19 publications
532 citations

Harbin Institute of Technology
Harbin, China
8 h-index
26 publications
2.1K citations
Tsinghua University
Beijing, China
8 h-index
14 publications
642 citations

Beihang University
Beijing, China
8 h-index
19 publications
517 citations
University of Malaya
Kuala Lumpur, Malaysia
7 h-index
16 publications
647 citations
University of South Florida
Tampa, United States
7 h-index
20 publications
4.6K citations
1–8 of 1K
TPAMI · 17 publications · 3.3K citations
16
h-index
16 publications · 715 citations
15
h-index
19 publications · 802 citations
15
h-index
14 publications · 592 citations
13
h-index
19 publications · 413 citations
12
h-index
1–5