Skip to main content

Mathematical Morphology Operators over Concept Lattices

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7880))

Abstract

Although mathematical morphology and formal concept analysis are two lattice-based data analysis theories, they are still developed in two disconnected research communities. The aim of this paper is to contribute to fill this gap, beyond the classical relationship between the Galois connections defined by the derivation operators and the adjunctions underlying the algebraic mathematical morphology framework. In particular we define mathematical morphology operators over concept lattices, based on distances, valuations, or neighborhood relations in concept lattices. Their properties are also discussed. These operators provide new tools for reasoning over concept lattices.

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

Buying options

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   49.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Atif, J., Hudelot, C., Bloch, I.: Abduction in description logics using formal concept analysis and mathematical morphology: Application to image interpretation. In: 8th International Conference on Concept Lattices and Their Applications (CLA 2011), Nancy, Paris, pp. 405–408 (October 2011)

    Google Scholar 

  2. Baader, F.: Computing a minimal representation of the subsumption lattice of all conjunctions of concepts defined in a terminology. In: 1st International KRUSE Symposium on Knowledge Retrieval, Use and Storage for Efficiency, pp. 168–178 (1995)

    Google Scholar 

  3. Birkhoff, G.: Lattice theory, 3rd edn., vol. 25. American Mathematical Society (1979)

    Google Scholar 

  4. Bloch, I.: On Links between Mathematical Morphology and Rough Sets. Pattern Recognition 33(9), 1487–1496 (2000)

    Article  MathSciNet  Google Scholar 

  5. Bloch, I., Heijmans, H., Ronse, C.: Mathematical Morphology. In: Aiello, M., Pratt-Hartman, I., van Benthem, J. (eds.) Handbook of Spatial Logics, ch. 13, pp. 857–947. Springer (2007)

    Google Scholar 

  6. Bloch, I., Maître, H.: Fuzzy Mathematical Morphologies: A Comparative Study. Pattern Recognition 28(9), 1341–1387 (1995)

    Article  MathSciNet  Google Scholar 

  7. Bloch, I., Pino-Pérez, R., Uzcategui, C.: A Unified Treatment of Knowledge Dynamics. In: International Conference on the Principles of Knowledge Representation and Reasoning, KR 2004, Canada, pp. 329–337 (2004)

    Google Scholar 

  8. Ferré, S., Ridoux, O.: A logical generalization of formal concept analysis. In: Ganter, B., Mineau, G.W. (eds.) ICCS 2000. LNCS (LNAI), vol. 1867, pp. 371–384. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  9. Ganter, B., Wille, R., Franzke, C.: Formal concept analysis: Mathematical foundations. Springer-Verlag New York, Inc. (1997)

    Google Scholar 

  10. Heijmans, H.J.A.M.: Morphological Image Operators. Academic Press, Boston (1994)

    MATH  Google Scholar 

  11. Heijmans, H.J.A.M., Ronse, C.: The Algebraic Basis of Mathematical Morphology – Part I: Dilations and Erosions. Computer Vision, Graphics and Image Processing 50, 245–295 (1990)

    Article  MATH  Google Scholar 

  12. Leclerc, B.: Lattice valuations, medians and majorities. Discrete Mathematics 111(1), 345–356 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  13. Monjardet, B.: Metrics on partially ordered sets–a survey. Discrete Mathematics 35(1), 173–184 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  14. Orum, C., Joslyn, C.: Valuations and metrics on partially ordered sets, arXiv preprint arXiv:0903.2679 (2009)

    Google Scholar 

  15. Ronse, C., Heijmans, H.J.A.M.: The Algebraic Basis of Mathematical Morphology – Part II: Openings and Closings. Computer Vision, Graphics and Image Processing 54, 74–97 (1991)

    MATH  Google Scholar 

  16. Ronse, C.: Adjunctions on the lattices of partitions and of partial partitions. Applicable Algebra in Engineering, Communication and Computing 21(5), 343–396 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  17. Serra, J.: Image Analysis and Mathematical Morphology. Academic Press, New-York (1982)

    MATH  Google Scholar 

  18. Serra, J. (ed.): Image Analysis and Mathematical Morphology, Part II: Theoretical Advances. Academic Press, London (1988)

    Google Scholar 

  19. Simovici, D.: Betweenness, metrics and entropies in lattices. In: 38th IEEE International Symposium on Multiple Valued Logic, ISMVL, pp. 26–31 (2008)

    Google Scholar 

  20. Stern, M.: Semimodular lattices: Theory and applications. Cambridge University Press (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Atif, J., Bloch, I., Distel, F., Hudelot, C. (2013). Mathematical Morphology Operators over Concept Lattices. In: Cellier, P., Distel, F., Ganter, B. (eds) Formal Concept Analysis. ICFCA 2013. Lecture Notes in Computer Science(), vol 7880. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38317-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38317-5_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38316-8

  • Online ISBN: 978-3-642-38317-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics