Local Binary Patterns

Local Binary Patterns is a texture analysis method that encodes local image structures by comparing the intensity of each pixel to its neighboring pixels and representing the pattern as a binary number based on the relative intensity differences.

2.8K

Publications

167.6K

Citations

7.4K

Authors

2K

Institutions

Publications per year

2017–2026

1.2K

Authors

7.4K

  1. MP
    Matti Pietikäinen

    University of Oulu, Finland

    29 publications · 29.7K citations

    23

    h-index

  2. AH
    Abdenour Hadid

    University of Oulu, Finland

    26 publications · 8.5K citations

    22

    h-index

  3. GZ
    Guoying Zhao

    University of Oulu, Finland

    24 publications · 5.3K citations

    19

    h-index

  4. MP
    Matti Pietikäinen

    University of Oulu, Finland

    17 publications · 2.1K citations

    17

    h-index

  5. GM
    Ghulam Muhammad

    King Saud University, Saudi Arabia

    14 publications · 1.1K citations

    12

    h-index

1–5 of 7.4K

Venues

  1. IEEE Transactions on Image Processing

    49 publications · 10.4K citations

    40

    h-index

  2. IEEE Access

    71 publications · 3.3K citations

    35

    h-index

  3. Sensors

    43 publications · 2.5K citations

    25

    h-index

  4. 23

    h-index

  5. Multimedia Tools and Applications

    40 publications · 1.2K citations

    21

    h-index

1–5