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Fuzzy Mathematical Morphology and Applications in Image Processing

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Fuzzy Information Processing 2020 (NAFIPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1337))

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Abstract

Fuzzy Mathematical Morphology extends binary morphological operators to grayscale and color images using concepts from fuzzy logic. To define the morphological operators of erosion and fuzzy dilation, the R-implications and fuzzy T-norm respectively are used. This work presents the application of the fuzzy morphological operators of Lukasiewicz, Gödel and Goguen and of the epsilon and delta functions of Weber and Fodor in the counting of mycorrhizal fungi spores.

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Author information

Authors and Affiliations

  1. Southwest Bahia State University, Conquista, Brazil

    Alexsandra Oliveira Andrade, Flaulles Boone Bergamaschi & Roque Mendes Prado Trindade

  2. Federal University of Rio Grande do Norte, Natal, Brazil

    Regivan Hugo Nunes Santiago

Authors
  1. Alexsandra Oliveira Andrade
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  2. Flaulles Boone Bergamaschi
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  3. Roque Mendes Prado Trindade
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  4. Regivan Hugo Nunes Santiago
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Corresponding author

Correspondence to Alexsandra Oliveira Andrade .

Editor information

Editors and Affiliations

  1. Department of Mathematics, DigiPen Institute of Technology, Redmond, WA, USA

    Barnabás Bede

  2. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Martine Ceberio

  3. School of Engineering and Technology, University of Washington, Tacoma, WA, USA

    Martine De Cock

  4. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

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Oliveira Andrade, A., Boone Bergamaschi, F., Mendes Prado Trindade, R., Hugo Nunes Santiago, R. (2022). Fuzzy Mathematical Morphology and Applications in Image Processing. In: Bede, B., Ceberio, M., De Cock, M., Kreinovich, V. (eds) Fuzzy Information Processing 2020. NAFIPS 2020. Advances in Intelligent Systems and Computing, vol 1337. Springer, Cham. https://doi.org/10.1007/978-3-030-81561-5_4

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