Tree-based Segmentation

Tree-Based Segmentation is a segmentation analysis method that employs hierarchical tree structures to recursively partition data into increasingly homogeneous subgroups based on sequential binary splits governed by specific decision rules.

181

Publications

11.9K

Citations

603

Authors

318

Institutions

Publications per year

2017–2026

54

Authors

603

  1. NP
    Nicolas Passat

    Centre National de la Recherche Scientifique, France

    4 publications · 94 citations

    4

    h-index

  2. NA
    Narendra Ahuja

    University of Illinois Urbana-Champaign, United States

    4 publications · 169 citations

    4

    h-index

  3. PK
    Peter Krzystek

    Munich University of Applied Sciences, Germany

    4 publications · 139 citations

    4

    h-index

  4. JL
    Jonathan Li

    University of Waterloo, Canada

    3 publications · 212 citations

    3

    h-index

  5. HH
    Hamid Hamraz

    University of Kentucky, United States

    3 publications · 193 citations

    3

    h-index

1–5 of 603

Venues

  1. Remote Sensing

    9 publications · 333 citations

    9

    h-index

  2. IEEE Transactions on Image Processing

    8 publications · 451 citations

    8

    h-index

  3. Pattern Recognition

    5 publications · 326 citations

    5

    h-index

  4. IEEE Transactions on Medical Imaging

    5 publications · 737 citations

    5

    h-index

  5. 5

    h-index

1–5