Mathematical Morphology

Mathematical Morphology is a theoretical framework within image processing and computational geometry that uses set-theoretic and lattice-theoretic principles to analyze and transform geometric structures, distinguished by its foundation on morphological operations such as dilation, erosion, opening, and closing.

1.6K

Publications

99.3K

Citations

3.5K

Authors

1.3K

Institutions

Publications per year

2017–2026

234

Authors

3.5K

  1. HH
    H.J.A.M. Heijmans

    Centrum Wiskunde & Informatica, Netherlands

    23 publications · 2K citations

    17

    h-index

  2. PS
    Pierre Soille

    Joint Research Centre, Italy

    18 publications · 2.3K citations

    17

    h-index

  3. HT
    Hugues Talbot

    Laboratoire d'Informatique Gaspard-Monge, France

    16 publications · 894 citations

    15

    h-index

  4. IB
    Isabelle Bloch

    Télécom Paris, France

    18 publications · 631 citations

    14

    h-index

  5. JA
    Jesús Angulo

    University of East Anglia, United Kingdom

    12 publications · 550 citations

    12

    h-index

1–5 of 3.5K

Venues

  1. 27

    h-index

  2. IEEE Transactions on Image Processing

    37 publications · 3.3K citations

    27

    h-index

  3. 23

    h-index

  4. Pattern Recognition

    28 publications · 1.5K citations

    22

    h-index

  5. Signal Processing

    19 publications · 1.4K citations

    18

    h-index

1–5