Gray-level Co-occurrence Matrices

Gray-Level Co-Occurrence Matrices is a statistical method in texture analysis that characterizes the spatial arrangement of gray levels in an image by quantifying the frequency with which pairs of pixel values co-occur at a given spatial displacement.

1.9K

Publications

78.5K

Citations

6.3K

Authors

1.9K

Institutions

Publications per year

2017–2026

1K

Variants

Gray-level Co-occurrence Matrix

Authors

6.3K

  1. IP
    Igor Pantić

    University of Belgrade, Serbia

    13 publications · 357 citations

    12

    h-index

  2. LZ
    Liangpei Zhang

    Wuhan University, China

    8 publications · 879 citations

    8

    h-index

  3. CA
    Christy Atika Sari

    Universitas Dian Nuswantoro, Indonesia

    7 publications · 255 citations

    8

    h-index

  4. EH
    Eko Hari Rachmawanto

    Universitas Dian Nuswantoro, Indonesia

    8 publications · 271 citations

    8

    h-index

  5. DR
    De Rosal Ignatius Moses Setiadi

    Universitas Dian Nuswantoro, Indonesia

    7 publications · 260 citations

    7

    h-index

1–5 of 6.3K

Venues

  1. Remote Sensing

    54 publications · 3.8K citations

    34

    h-index

  2. International Journal of Remote Sensing

    35 publications · 2.1K citations

    27

    h-index

  3. IEEE Access

    31 publications · 1.3K citations

    21

    h-index

  4. Sensors

    24 publications · 2K citations

    20

    h-index

  5. Scientific Reports

    26 publications · 1.6K citations

    20

    h-index

1–5