Texture Edge Detection

Texture Edge Detection is a specialized method in computer vision that identifies boundaries between regions of differing texture patterns within an image by analyzing spatial variations in intensity or color attributed to surface material properties.

74

Publications

3.5K

Citations

190

Authors

97

Institutions

Publications per year

2017–2026

10

Authors

190

  1. MT
    Mark Thurston

    George Mason University, United States

    2 publications · 904 citations

    2

    h-index

  2. DH
    Dong-Chen He

    Université de Sherbrooke, Canada

    2 publications · 27 citations

    2

    h-index

  3. MS
    Michael S. Landy

    New York University, United States

    2 publications · 101 citations

    2

    h-index

  4. NP
    Nicolai Petkov

    University of Groningen, Netherlands

    2 publications · 256 citations

    2

    h-index

  5. DO
    Daniel Osorio

    University of Sussex, United Kingdom

    2 publications · 112 citations

    2

    h-index

1–5 of 190

Venues

  1. Pattern Recognition

    4 publications · 128 citations

    4

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  2. 2

    h-index

  3. 2

    h-index

  4. 2

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  5. IEEE Transactions on Computers

    2 publications · 904 citations

    2

    h-index

1–5