Texture Change Detection

Texture Change Detection is a methodological framework within texture analysis that identifies alterations in textural patterns across spatial or temporal domains by comparing structural attributes of image regions to determine significant deviations indicative of change.

62

Publications

2.6K

Citations

201

Authors

110

Institutions

Publications per year

2017–2026

16

Authors

201

  1. BP
    Behnam Pourdeyhimi

    North Carolina State University, United States

    5 publications · 197 citations

    5

    h-index

  2. AR
    Ayushman Ramola

    Sant Longowal Institute of Engineering and Technology, India

    4 publications · 209 citations

    4

    h-index

  3. AK
    Amit Kumar Shakya

    Sant Longowal Institute of Engineering and Technology, India

    4 publications · 209 citations

    4

    h-index

  4. SM
    Steven M. Spivak

    University of Maryland, College Park, United States

    4 publications · 120 citations

    4

    h-index

  5. NR
    Norman R. S. Hollies

    University of Maryland, College Park, United States

    3 publications · 55 citations

    3

    h-index

1–5 of 201

Venues

  1. Textile Research Journal

    10 publications · 289 citations

    10

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. Ultrasonic Imaging

    2 publications · 51 citations

    2

    h-index

  5. Natural Hazards Review

    1 publications · 29 citations

    1

    h-index

1–5