Texture Modeling

Texture Modeling is a computational framework that characterizes and represents the spatial distribution of tonal or color variations in an image to distinguish surface patterns based on their structural, statistical, or spectral properties.

1.3K

Publications

102.1K

Citations

2.8K

Authors

1.1K

Institutions

Publications per year

2017–2026

148

Authors

2.8K

  1. MH
    Michal Haindl

    Czech Academy of Sciences, Institute of Information Theory and Automation, Czechia

    17 publications · 442 citations

    12

    h-index

  2. OM
    Odemir Martinez Bruno

    Universidade de São Paulo, Brazil

    11 publications · 514 citations

    11

    h-index

  3. JM
    Joseph M. Francos

    Ben-Gurion University of the Negev, Israel

    10 publications · 901 citations

    10

    h-index

  4. RW
    Rosalind W. Picard

    Massachusetts Institute of Technology, United States

    9 publications · 1.3K citations

    9

    h-index

  5. GH
    Glenn Healey

    University of California, Irvine, United States

    9 publications · 705 citations

    9

    h-index

1–5 of 2.8K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 60 publications · 10.9K citations

    45

    h-index

  2. IEEE Transactions on Image Processing

    65 publications · 6.7K citations

    41

    h-index

  3. Pattern Recognition

    48 publications · 3.4K citations

    31

    h-index

  4. Pattern Recognition Letters

    38 publications · 1.8K citations

    23

    h-index

  5. ACM Transactions on Graphics

    TOG · 22 publications · 2.9K citations

    22

    h-index

1–5