Texture Classification

Texture Classification is a computational method within texture analysis that distinguishes and categorizes visual textures into predefined classes based on distinctive spatial patterns and statistical features extracted from image regions.

2K

Publications

143.4K

Citations

5.1K

Authors

1.7K

Institutions

Publications per year

2017–2026

499

Authors

5.1K

  1. MP
    Matti Pietikäinen

    University of Oulu, Finland

    15 publications · 25.7K citations

    15

    h-index

  2. LL
    Li Liu

    National University of Defense Technology, China

    14 publications · 2K citations

    13

    h-index

  3. PF
    Paul Fieguth

    University of Waterloo, Canada

    13 publications · 1.9K citations

    12

    h-index

  4. OM
    Odemir Martinez Bruno

    Universidade de São Paulo, Brazil

    15 publications · 649 citations

    11

    h-index

  5. MJ
    Mike J. Chantler

    Heriot-Watt University, United Kingdom

    11 publications · 275 citations

    11

    h-index

1–5 of 5.1K

Venues

  1. IEEE Transactions on Image Processing

    56 publications · 8.9K citations

    41

    h-index

  2. Pattern Recognition

    65 publications · 13.6K citations

    39

    h-index

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 38 publications · 25.1K citations

    35

    h-index

  4. Pattern Recognition Letters

    53 publications · 3.4K citations

    30

    h-index

  5. Expert Systems with Applications

    26 publications · 1.2K citations

    22

    h-index

1–5