Texture Feature Detection

Texture Feature Detection is a computational method within feature detection that identifies and extracts spatially repetitive patterns in visual data by analyzing local intensity variations to represent surface characteristics.

590

Publications

41.1K

Citations

2K

Authors

738

Institutions

Publications per year

2017–2026

209

Authors

2K

  1. SF
    Shervan Fekri-Ershad

    Islamic Azad University of Najafabad, Iran

    4 publications · 181 citations

    4

    h-index

  2. DC
    Dmitry Chetverikov

    HUN-REN Institute for Computer Science and Control, Hungary

    3 publications · 134 citations

    3

    h-index

  3. AN
    Akihiro Nakamura

    Nagasaki University, Japan

    3 publications · 88 citations

    3

    h-index

  4. AE
    Aytül Erçi̇l

    Sabancı Üniversitesi, Türkiye

    3 publications · 292 citations

    3

    h-index

  5. HM
    Hidenori Maruta

    Nagasaki University, Japan

    3 publications · 88 citations

    3

    h-index

1–5 of 2K

Venues

  1. Multimedia Tools and Applications

    13 publications · 416 citations

    12

    h-index

  2. Pattern Recognition

    11 publications · 608 citations

    11

    h-index

  3. 10

    h-index

  4. Pattern Recognition Letters

    9 publications · 294 citations

    9

    h-index

  5. Textile Research Journal

    7 publications · 212 citations

    7

    h-index

1–5