Multiscale Segmentation

Multiscale Segmentation is a computational method in image analysis that identifies and delineates structures across multiple spatial scales by partitioning data into coherent regions according to scale-dependent features and hierarchical organization.

600

Publications

38.3K

Citations

1.8K

Authors

745

Institutions

Publications per year

2017–2026

219

Variants

Multi-scale Segmentation

Authors

1.8K

  1. NA
    Narendra Ahuja

    University of Illinois Urbana-Champaign, United States

    12 publications · 1.3K citations

    12

    h-index

  2. MA
    Max A. Viergever

    University Medical Center Utrecht, Netherlands

    7 publications · 304 citations

    7

    h-index

  3. RG
    Richard G. Baraniuk

    Rice University, United States

    6 publications · 464 citations

    6

    h-index

  4. ST
    Siniša Todorović

    Oregon State University, United States

    6 publications · 355 citations

    6

    h-index

  5. KL
    Koen L. Vincken

    University Medical Center Utrecht, Netherlands

    6 publications · 236 citations

    6

    h-index

1–5 of 1.8K

Venues

  1. IEEE Transactions on Image Processing

    26 publications · 3K citations

    23

    h-index

  2. 18

    h-index

  3. Pattern Recognition

    21 publications · 902 citations

    16

    h-index

  4. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 16 publications · 2.9K citations

    15

    h-index

  5. Remote Sensing

    16 publications · 497 citations

    13

    h-index

1–5