Skip to main content

Duality vs Adjunction and General Form for Fuzzy Mathematical Morphology

  • Conference paper
Fuzzy Logic and Applications (WILF 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3849))

Included in the following conference series:

Abstract

We establish in this paper the link between the two main approaches for fuzzy mathematical morphology, based on duality with respect to complementation and on the adjunction property, respectively. We also prove that the corresponding definitions of fuzzy dilation and erosion are the most general ones if a set of classical properties is required.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dubois, D., Prade, H.: Inverse Operations for Fuzzy Numbers. In: Sanchez, E., Gupta, M. (eds.) Fuzzy Information, Knowledge Representation and Decision Analysis, IFAC Symposium, Marseille, France, pp. 391–396 (1983)

    Google Scholar 

  2. Bloch, I., Maître, H.: Fuzzy Mathematical Morphologies: A Comparative Study. Pattern Recognition 28, 1341–1387 (1995)

    Article  MathSciNet  Google Scholar 

  3. Sinha, D., Dougherty, E.R.: Fuzzification of Set Inclusion: Theory and Applications. Fuzzy Sets and Systems 55, 15–42 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  4. Baets, B.D.: Idempotent Closing and Opening Operations in Fuzzy Mathematical Morphology. In: ISUMA-NAFIPS 1995, College Park, MD, pp. 228–233 (1995)

    Google Scholar 

  5. Bandemer, H., Näther, W.: Fuzzy Data Analysis. In: Theory and Decision Library, Serie B: Mathematical and Statistical Methods. Kluwer Academic Publisher, Dordrecht (1992)

    Google Scholar 

  6. Popov, A.T.: Morphological Operations on Fuzzy Sets. IEE Image Processing and its Applications,, 837–840 (1995)

    Google Scholar 

  7. Nachtegael, M., Kerre, E.E.: Classical and Fuzzy Approaches towards Mathematical Morphology. In: Kerre, E.E., Nachtegael, M. (eds.) Fuzzy Techniques in Image Processing. Studies in Fuzziness and Soft Computing, pp. 3–57. Springer, Heidelberg (2000)

    Google Scholar 

  8. Deng, T.Q., Heijmans, H.: Grey-Scale Morphology Based on Fuzzy Logic. Journal of Mathematical Imaging and Vision 16, 155–171 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  9. Maragos, P.: Lattice Image Processing: A Unification of Morphological and Fuzzy Algebraic Systems. Journal of Mathematical Imaging and Vision 22, 333–353 (2005)

    Article  MathSciNet  Google Scholar 

  10. Rosenfeld, A.: The Fuzzy Geometry of Image Subsets. Pattern Recognition Letters 2, 311–317 (1984)

    Article  Google Scholar 

  11. Bloch, I.: Fuzzy Mathematical Morphology and Derived Spatial Relationships. In: Kerre, E., Nachtegael, N. (eds.) Fuzzy Techniques in Image Processing, pp. 101–134. Springer, Heidelberg (2000)

    Google Scholar 

  12. Dubois, D., Prade, H.: Fuzzy Sets and Systems: Theory and Applications. Academic Press, New-York (1980)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bloch, I. (2006). Duality vs Adjunction and General Form for Fuzzy Mathematical Morphology. In: Bloch, I., Petrosino, A., Tettamanzi, A.G.B. (eds) Fuzzy Logic and Applications. WILF 2005. Lecture Notes in Computer Science(), vol 3849. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11676935_44

Download citation

  • DOI: https://doi.org/10.1007/11676935_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32529-1

  • Online ISBN: 978-3-540-32530-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics