Skip to main content
SpringerLink
Log in

Texture Segmentation with Local Fuzzy Patterns and Neuro-fuzzy Decision Support

  • Conference paper
Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

Abstract

In this paper we propose a split and merge texture segmentation method. The presented approach is characterised by the introduction of a novel operator, the Local Fuzzy Pattern for texture discrimination, and the employment of a neuro-fuzzy decision support strategy, which supervises the overall split and merge procedure. The effectiveness of the proposed approach is evaluated on a set of artificial and natural texture images.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Brodatz, P.: Textures: A photographic Album for Artists and Designers (1966)

    Google Scholar 

  2. Castellano, G., Castiello, C., Fanelli, A.M., Mencar, C.: Knowledge discovering by a neuro-fuzzy modeling framework. Fuzzy Sets Syst. 149(1), 187–207 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  3. Goltsev, A.: An Assembly Neural Network for Texture Segmentation. Neural Networks 9(4), 643–653 (1996)

    Article  Google Scholar 

  4. Karmakar, G., Dooley, L., Murshed, M.: Fuzzy rule for image segmentation incorporating texture features. In: Proc. Int. Conf. Image Processing, vol. 1, pp. 797–800 (2002)

    Google Scholar 

  5. Ojala, T., Pietikäinen, M.: Unsupervised texture segmentation using feature distributions. Pattern Recognition 32, 477–486 (1999)

    Article  Google Scholar 

  6. Pietikainen, M.K.: Texture Analysis in Machine Vision. World Scientific, Singapore (2000)

    Book  Google Scholar 

  7. Sklansky, J.: Image segmentation and feature extraction. IEEE Trans. Syst. Man Cybern. 8, 237–247 (1978)

    Article  Google Scholar 

  8. Si, W.L., He, X.: Textured image segmentation using autoregressive model and artificial neural network. Pattern Recognition 28(12), 1807–1817 (1995)

    Article  Google Scholar 

  9. Sokal, R.R., Rohlf, F.J.: Introduction to Biostatistics. Freeman and Co, New York (1987)

    MATH  Google Scholar 

  10. Tuceryan, M., Jain, A.K.: Texture Analysis. In: The Handbook of Pattern Recognition and Computer Vision, World Scientific, Singapore (1998)

    Google Scholar 

  11. MIT Vision Texture (VisTex) database, http://www-white.media.mit.edu/vismod/imagery/VisionTexture/vistex.html

Download references

Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Università degli Studi di Bari, Via E. Orabona, 470126, Bari, Italy

    L. Caponetti, C. Castiello, A. M. Fanelli & P. Górecki

Authors
  1. L. Caponetti
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. C. Castiello
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. M. Fanelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. P. Górecki
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Caponetti, L., Castiello, C., Fanelli, A.M., Górecki, P. (2006). Texture Segmentation with Local Fuzzy Patterns and Neuro-fuzzy Decision Support. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_44

Download citation

  • DOI: https://doi.org/10.1007/11893004_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation