Scale-space Edge Detection

Scale-Space Edge Detection is a methodological framework within edge detection that identifies edges across multiple spatial scales by analyzing the evolution of image gradients in a scale-space representation, thereby distinguishing itself from single-scale edge detection techniques through its multi-scale differential structure.

42

Publications

21.4K

Citations

92

Authors

58

Institutions

Publications per year

2017–2026

2

Authors

92

  1. KA
    Keith A. May

    City, University of London, United Kingdom

    2 publications · 115 citations

    2

    h-index

  2. YL
    Yi Lu

    Tianjin Medical University, China

    2 publications · 168 citations

    2

    h-index

  3. MA
    Mark A. Georgeson

    Aston University, United Kingdom

    2 publications · 115 citations

    2

    h-index

  4. RJ
    Ramesh Jain

    University of California, Irvine, United States

    2 publications · 168 citations

    2

    h-index

  5. DM
    David Marr

    Massachusetts Institute of Technology, United States

    2 publications · 6.2K citations

    2

    h-index

1–5 of 92

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 7 publications · 12.5K citations

    7

    h-index

  2. IEEE Transactions on Image Processing

    3 publications · 412 citations

    3

    h-index

  3. 1

    h-index

  4. IEEE Transactions on Medical Imaging

    1 publications · 23 citations

    1

    h-index

  5. European Journal of Ultrasound

    1 publications · 10 citations

    1

    h-index

1–5