Texture Features

Texture Features is a spatial feature engineering method that characterizes local intensity patterns in an image by statistically or structurally modeling the spatial arrangement of pixel intensities to distinguish regions based on their surface properties.

4.8K

Publications

283.3K

Citations

15.5K

Authors

3.7K

Institutions

Publications per year

2017–2026

2K

Authors

15.5K

  1. MP
    Matti Pietikäinen

    University of Oulu, Finland

    23 publications · 35.3K citations

    20

    h-index

  2. HC
    Heang‐Ping Chan

    University of Michigan, United States

    18 publications · 2K citations

    16

    h-index

  3. GZ
    Guoying Zhao

    University of Oulu, Finland

    17 publications · 5.7K citations

    16

    h-index

  4. AM
    Anant Madabhushi

    Case Western Reserve University, United States

    18 publications · 1.3K citations

    16

    h-index

  5. CS
    Constantinos S. Pattichis

    University of Cyprus, Cyprus

    21 publications · 1.3K citations

    15

    h-index

1–5 of 15.5K

Venues

  1. IEEE Transactions on Image Processing

    77 publications · 9K citations

    47

    h-index

  2. Medical Physics

    67 publications · 5.1K citations

    44

    h-index

  3. Remote Sensing

    85 publications · 4.9K citations

    42

    h-index

  4. 38

    h-index

  5. Pattern Recognition

    55 publications · 14.4K citations

    35

    h-index

1–5