Texture Defect Analysis

Texture Defect Analysis is a computational method in computer vision that identifies and characterizes anomalies in surface texture by distinguishing irregular patterns from normal textural structures based on statistical, spectral, or deep-learning descriptors.

61

Publications

2.6K

Citations

156

Authors

69

Institutions

Publications per year

2017–2026

23

Authors

156

  1. AE
    A. Ertüzün

    Boğaziçi University, Türkiye

    4 publications · 267 citations

    4

    h-index

  2. HY
    Hua Yang

    Huazhong University of Science and Technology, China

    3 publications · 98 citations

    3

    h-index

  3. AE
    Aytül Erçi̇l

    Sabancı Üniversitesi, Türkiye

    3 publications · 257 citations

    3

    h-index

  4. ZY
    Zhouping Yin

    Huazhong University of Science and Technology, China

    3 publications · 98 citations

    3

    h-index

  5. RM
    Ruşen Meylani

    Boğaziçi University, Türkiye

    2 publications · 29 citations

    2

    h-index

1–5 of 156

Venues

  1. 4

    h-index

  2. IEEE Transactions on Industrial Informatics

    3 publications · 102 citations

    3

    h-index

  3. Image and Vision Computing

    3 publications · 419 citations

    3

    h-index

  4. Optik

    3 publications · 168 citations

    3

    h-index

  5. Textile Research Journal

    3 publications · 62 citations

    3

    h-index

1–5