Active Contour Models

Active Contour Models is a computational method in image segmentation that iteratively deforms a parametric curve or surface toward object boundaries by minimizing an energy functional derived from image features and geometric constraints.

1.9K

Publications

148K

Citations

5.1K

Authors

1.7K

Institutions

Publications per year

2017–2026

466

Authors

5.1K

  1. AY
    Anthony Yezzi

    Georgia Institute of Technology, United States

    29 publications · 4.1K citations

    23

    h-index

  2. AT
    Allen Tannenbaum

    Georgia Institute of Technology, United States

    28 publications · 3.4K citations

    21

    h-index

  3. GW
    Guirong Weng

    Soochow University, China

    22 publications · 958 citations

    17

    h-index

  4. JL
    Jerry L. Prince

    Johns Hopkins University, United States

    13 publications · 6.9K citations

    13

    h-index

  5. ST
    Scott T. Acton

    University of Virginia, United States

    15 publications · 705 citations

    12

    h-index

1–5 of 5.1K

Venues

  1. IEEE Transactions on Image Processing

    61 publications · 22.8K citations

    37

    h-index

  2. IEEE Transactions on Medical Imaging

    43 publications · 6.4K citations

    37

    h-index

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 37 publications · 8.7K citations

    34

    h-index

  4. Medical Physics

    36 publications · 2.4K citations

    23

    h-index

  5. Pattern Recognition

    26 publications · 2.1K citations

    22

    h-index

1–5