Skip to main content
SpringerLink
Log in
Book cover

International Workshop on Fuzzy Logic and Applications

WILF 2007: Applications of Fuzzy Sets Theory pp 321–327Cite as

A Two-Dimensional Entropic Approach to Intuitionistic Fuzzy Contrast Enhancement

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4578))

Abstract

This paper presents a generalized approach to the intuitionistic fuzzification of gray-scale images. Parametric membership and non-membership functions are applied in order to derive the optimal representation of the image in the intuitionistic fuzzy domain. A two-dimensional intuitionistic fuzzy entropy measure is employed as the optimization criterion for driving the aforementioned procedure. Finally, experimental results demonstrate the ability of the proposed method to efficiently enhance low-contrasted gray-scale images.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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. Atanassov, K.T.: Intuitionistic Fuzzy Sets: Theory and Applications. In: Studies in Fuzziness and Soft Computing, Physica–Verlag, Heidelberg (1999)

    Google Scholar 

  2. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  3. Vlachos, I.K., Sergiadis, G.D.: Intuitionistic Fuzzy Image Processing. In: Soft Computing in Image Processing: Recent Advances. Studies in Fuzziness and Soft Computing, vol. 210, pp. 385–416. Springer, Heidelberg (2007)

    Google Scholar 

  4. Pal, S.K., King, R.A.: Image enhancement using fuzzy set. Electron. Lett. 16, 376–378 (1980)

    Article  Google Scholar 

  5. Pal, S.K., King, R.A.: Image enhancement using smoothing with fuzzy sets. IEEE Trans. Syst. Man Cybern. 11, 495–501 (1981)

    Google Scholar 

  6. Pal, S.K., King, R.A.: A note on the quantitative measure of image enhancement through fuzziness. IEEE Trans. Pattern Anal. Mach. Intell. 4, 204–208 (1982)

    Article  MATH  Google Scholar 

  7. Bustince, H., Kacprzyk, J., Mohedano, V.: Intuitionistic fuzzy generators—Application to intuitionistic fuzzy complementation. Fuzzy Sets Syst. 114, 485–504 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  8. Szmidt, E., Kacprzyk, J.: Entropy for intuitionistic fuzzy sets. Fuzzy Sets Syst. 118, 467–477 (2001)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Aristotle University of Thessaloniki, Faculty of Technology, Department of Electrical & Computer Engineering, Telecommunications Division, University Campus, GR–54124, Thessaloniki, Greece

    Ioannis K. Vlachos & George D. Sergiadis

Authors
  1. Ioannis K. Vlachos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. George D. Sergiadis
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Francesco Masulli Sushmita Mitra Gabriella Pasi

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Vlachos, I.K., Sergiadis, G.D. (2007). A Two-Dimensional Entropic Approach to Intuitionistic Fuzzy Contrast Enhancement. In: Masulli, F., Mitra, S., Pasi, G. (eds) Applications of Fuzzy Sets Theory. WILF 2007. Lecture Notes in Computer Science(), vol 4578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73400-0_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73400-0_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73399-7

  • Online ISBN: 978-3-540-73400-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation