A Gravitational Approach to Image Smoothing | SpringerLink
Skip to main content
Springer Nature Link
Log in

A Gravitational Approach to Image Smoothing

  • Conference paper
  • First Online:
Advances in Fuzzy Logic and Technology 2017 (EUSFLAT 2017, IWIFSGN 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 642))

Abstract

In this work we present a novel bio-inspired operator for image smoothing based on the attraction of gravitational forces. These forces produce movement over the pixels of an image, which are represented as particles in the space. Due to this movement pixels change their color intensity. We introduce the operator and apply it iteratively over color images, with different configurations. The effect of our technique is analyzed over 1D signals and color images.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 22879
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 28599
Price includes VAT (Japan)
  • 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

Similar content being viewed by others

References

  1. Arbeláez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. Tpami 33(5), 898–916 (2011)

    Article  Google Scholar 

  2. Ciregan, D., Meier, U., Schmidhuber, J.: Multi-column deep neural networks for image classification. In: Computer Vision and Pattern Recognition (CVPR), pp. 3642–3649 (2012)

    Google Scholar 

  3. Draa, A., Bouaziz, A.: An artificial bee colony algorithm for image contrast enhancement. Swarm Evol. Comput. 16, 69–84 (2014)

    Article  Google Scholar 

  4. Gastal, E.S.L., Oliveira, M.M.: Domain transform for edge-aware image and video processing. Proc. SIGGRAPH ACM TOG 30(4), 1–12 (2011)

    Article  Google Scholar 

  5. Gorai, A., Ghosh, A.: Hue-preserving color image enhancement using particle swarm optimization. In: 2011 Recent Advances in Intelligent Computational Systems (RAICS), pp. 563–568. IEEE (2011)

    Google Scholar 

  6. Lopez-Molina, C., Bustince, H., Fernandez, J., Couto, P., De Baets, B.: A gravitational approach to edge detection based on triangular norms. Pattern Recogn. 43(11), 3730–3741 (2010)

    Article  MATH  Google Scholar 

  7. Newton, I.: Philosophiae Naturalis Principia Mathematica. Pan, p. 510 (1687)

    Google Scholar 

  8. Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: International Conference on Computer Vision, pp. 839–846 (1998)

    Google Scholar 

  9. Wright, W.E.: Gravitational clustering. Pattern Recogn. 9(3), 151–166 (1977)

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by the Spanish Ministry of Science (Project TIN2016-77356-P) and the Research Services of Universidad Publica de Navarra.

Author information

Authors and Affiliations

  1. Dpto. Automatica y Computacion, Universidad Publica de Navarra, Campus Arrosadia, 31006, Pamplona, Spain

    Cedric Marco-Detchart, Carlos Lopez-Molina, Javier Fernandez & Humberto Bustince

  2. Institute of Smart Cities, Universidad Publica de Navarra, Campus Arrosadia, 31006, Pamplona, Spain

    Cedric Marco-Detchart, Javier Fernandez & Humberto Bustince

Authors
  1. Cedric Marco-Detchart
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Carlos Lopez-Molina
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Javier Fernandez
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Humberto Bustince
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cedric Marco-Detchart .

Editor information

Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Eulalia Szmidt

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Slawomir Zadrożny

  4. Department of Telecommunications and Information Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K. T. Atanassov

  5. WIT - Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Marco-Detchart, C., Lopez-Molina, C., Fernandez, J., Bustince, H. (2018). A Gravitational Approach to Image Smoothing. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-66824-6_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-66824-6_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66823-9

  • Online ISBN: 978-3-319-66824-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation