Top-hat Transform

The Top-Hat Transform is a morphological filtering operation that extracts small elements and details from an image by computing the difference between the input image and its morphologically opened or closed version, thereby highlighting fine structures deviating from the local background.

165

Publications

7.4K

Citations

461

Authors

192

Institutions

Publications per year

2017–2026

46

Variants

Top-hat Transformation

Authors

461

  1. FZ
    Fugen Zhou

    Beihang University, China

    21 publications · 1.5K citations

    15

    h-index

  2. XB
    Xiangzhi Bai

    Beihang University, China

    24 publications · 1.6K citations

    15

    h-index

  3. BX
    Bindang Xue

    Beihang University, China

    10 publications · 539 citations

    10

    h-index

  4. HL
    Horacio Legal-Ayala

    Universidad Nacional de Asunción, Paraguay

    6 publications · 235 citations

    6

    h-index

  5. JL
    José Luis Vázquez Noguera

    Universidad Nacional de Asunción, Paraguay

    6 publications · 235 citations

    6

    h-index

1–5 of 461

Venues

  1. Optik

    7 publications · 155 citations

    7

    h-index

  2. 5

    h-index

  3. Applied Optics

    AO · 4 publications · 86 citations

    4

    h-index

  4. Infrared Physics & Technology

    4 publications · 559 citations

    4

    h-index

  5. 3

    h-index

1–5