Multi-scale Edge Detection

Multi-Scale Edge Detection is a computational framework in image processing that identifies intensity variations across multiple spatial resolutions to enhance edge localization and robustness by distinguishing genuine edges from noise through scale-space analysis.

136

Publications

16.3K

Citations

374

Authors

189

Institutions

Publications per year

2017–2026

32

Authors

374

  1. SZ
    Shiliang Zhang

    Peking University, China

    3 publications · 531 citations

    3

    h-index

  2. SX
    Saining Xie

    Meta (Israel), Israel

    3 publications · 4.2K citations

    3

    h-index

  3. TH
    Tiejun Huang

    Peking University, China

    3 publications · 531 citations

    3

    h-index

  4. SK
    S. Konishi

    Smith-Kettlewell Eye Research Institute, United States

    3 publications · 469 citations

    3

    h-index

  5. ZT
    Zhuowen Tu

    University of California, Los Angeles, United States

    3 publications · 4.2K citations

    3

    h-index

1–5 of 374

Venues

  1. IEEE Transactions on Image Processing

    5 publications · 206 citations

    5

    h-index

  2. Pattern Recognition

    5 publications · 258 citations

    5

    h-index

  3. 5

    h-index

  4. 4

    h-index

  5. International Journal of Computer Vision

    3 publications · 758 citations

    3

    h-index

1–5