Texture Analysis

Texture Analysis is a computational and analytical methodology within image and signal processing that characterizes the spatial arrangement and statistical properties of intensity variations in visual or structural data to quantify surface or material patterns distinct from color, shape, or spectral information.

13.4K

Publications

801K

Citations

31.2K

Authors

5.8K

Institutions

Publications per year

2017–2026

3.2K

Authors

31.2K

  1. MP
    Matti Pietikäinen

    University of Oulu, Finland

    36 publications · 37.7K citations

    30

    h-index

  2. BG
    Balaji Ganeshan

    University College London, United Kingdom

    33 publications · 4.6K citations

    27

    h-index

  3. BM
    B.S. Manjunath

    University of California, Santa Barbara, United States

    30 publications · 8.9K citations

    25

    h-index

  4. GZ
    Guoying Zhao

    University of Oulu, Finland

    25 publications · 6.2K citations

    23

    h-index

  5. AK
    Anil K. Jain

    Michigan State University, United States

    27 publications · 7.2K citations

    23

    h-index

1–5 of 31.2K

Venues

  1. IEEE Transactions on Image Processing

    290 publications · 36.6K citations

    94

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 166 publications · 66.3K citations

    92

    h-index

  3. Pattern Recognition

    222 publications · 29.9K citations

    79

    h-index

  4. IEEE Transactions on Geoscience and Remote Sensing

    113 publications · 12.3K citations

    58

    h-index

  5. Pattern Recognition Letters

    168 publications · 9K citations

    49

    h-index

1–5