Edge Tracking

Edge Tracking is a computational technique in image processing that belongs to the class of edge detection methods, distinguished by its specific focus on connecting edge pixels into continuous contours through the analysis of local gradients and directional coherence.

238

Publications

11.4K

Citations

659

Authors

291

Institutions

Publications per year

2017–2026

42

Authors

659

  1. HI
    Henrik I. Christensen

    KTH Royal Institute of Technology, Sweden

    4 publications · 299 citations

    4

    h-index

  2. RM
    Robert M. Haralick

    University of Washington, United States

    4 publications · 138 citations

    4

    h-index

  3. HB
    Humberto Bustince

    Universidad Pública de Navarra (UPNA), Spain

    3 publications · 315 citations

    3

    h-index

  4. AL
    Antony Lomax

    Paul Scherrer Institute, Switzerland

    3 publications · 850 citations

    3

    h-index

  5. CC
    Changhyun Choi

    Sungkyunkwan University, South Korea

    3 publications · 289 citations

    3

    h-index

1–5 of 659

Venues

  1. Pattern Recognition

    13 publications · 680 citations

    12

    h-index

  2. Image and Vision Computing

    10 publications · 930 citations

    10

    h-index

  3. Pattern Recognition Letters

    8 publications · 181 citations

    8

    h-index

  4. 5

    h-index

  5. 4

    h-index

1–5