First-derivative Edge Operators

First-Derivative Edge Operators is a class of edge detection methods that identifies edges in an image by computing the local maxima of the first-order spatial derivatives of the image intensity function, thereby distinguishing itself from higher-order derivative approaches through its sensitivity to intensity discontinuities.

23

Publications

1.7K

Citations

51

Authors

35

Institutions

Publications per year

2017–2026

6

Authors

51

  1. JC
    John Canny

    University of California, Berkeley, United States

    2 publications · 863 citations

    2

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  2. JS
    Jun Shen

    University of Wollongong, Australia

    2 publications · 69 citations

    2

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  3. SC
    S. Castan

    Université Toulouse III - Paul Sabatier, France

    2 publications · 69 citations

    2

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  4. YZ
    Yingjie Zhu

    Chang'an University, China

    1 publications · 15 citations

    1

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  5. NK
    Nayoung Kim

    Iowa State University, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 51

Venues

  1. 2

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  2. Complex Analysis and Operator Theory

    1 publications · 10 citations

    1

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  3. Signal Processing

    1 publications · 25 citations

    1

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  4. 1

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  5. Geophysics

    1 publications · 15 citations

    1

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1–5