Image Segmentation

Image Segmentation is an image analysis technique that partitions a digital image into a set of non-overlapping, homogeneous regions or objects that are internally coherent and mutually distinct according to specified visual or semantic criteria, thereby yielding a more meaningful representation for subsequent processing or interpretation.

28.6K

Publications

2M

Citations

65K

Authors

8.2K

Institutions

Publications per year

2017–2026

11.7K

Authors

65K

  1. JM
    Jitendra Malik

    University of California, Berkeley, United States

    52 publications · 57.8K citations

    40

    h-index

  2. DS
    Dinggang Shen

    University of North Carolina at Chapel Hill, United States

    80 publications · 6.5K citations

    40

    h-index

  3. CS
    Chunhua Shen

    The University of Adelaide, Australia

    46 publications · 9.3K citations

    37

    h-index

  4. AY
    Alan Yuille

    Johns Hopkins University, United States

    52 publications · 38.9K citations

    36

    h-index

  5. JK
    Jayaram K. Udupa

    University of Pennsylvania, United States

    60 publications · 5.8K citations

    35

    h-index

1–5 of 65K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 469 publications · 194.2K citations

    156

    h-index

  2. IEEE Transactions on Medical Imaging

    402 publications · 92.9K citations

    142

    h-index

  3. IEEE Transactions on Image Processing

    593 publications · 69.6K citations

    123

    h-index

  4. arXiv (Cornell University)

    Repository · 854 publications · 78.8K citations

    104

    h-index

  5. Pattern Recognition

    507 publications · 44.2K citations

    99

    h-index

1–5