Skip to main content
SpringerLink
Log in
Book cover

Computer and Information Sciences pp 259–264Cite as

Texture Classification and Retrieval Based on Complex Wavelet Subbands

  • Conference paper
  • First Online:

  • 812 Accesses

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 62))

Abstract

This paper proposes a multiscale texture classifer which uses features extracted from both magnitude and phase responses of subbands at different resolutions of the dual-tree complex wavelet transform decomposition of a texture image. The mean and entropy in the transform domain are used to form a feature vector. The superior performance and robustness of the proposed classifer is shown for classifying and retrieving texture images from image databases.

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   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Faugeras, O.: Texture analysis and classification using a human visual model. In: Proc. IEEE Int. Conf. Pattern Recognit. (1978) 549–552

    Google Scholar 

  2. Arivazhagan, S., Ganesan, L., Priyal, S.: Texture classification using gabor wavelets based rotation invariant features. Pattern Recognit. Letts. 27(16) (Dec 2006) 1976–1982

    Article  Google Scholar 

  3. Do, M., Vetterli, M.: Wavelet-based texture retrieval using generalized Gaussian density and kullback-leibler distance. IEEE Trans. Image Proc. 11(2) (Feb 2002) 146–158

    Article  MathSciNet  Google Scholar 

  4. Kokare, M., Biswas, P., Chatterji, B.: Texture image retrieval using rotated wavelet filters. Pattern Recognit. Letts. 28 (2007) 1240–1249

    Article  Google Scholar 

  5. Kingsbury, N.: Complex wavelets for shift invariant analysis and filtering of signals. Applied and Computational Harmonic Analysis 10(3) (2001) 234–253

    Article  MATH  MathSciNet  Google Scholar 

  6. Celik, T., Tjahjadi, T.: Multiscale texture classification using dual-tree complex wavelet transform. Pattern Recognit. Letts. 30 (2009) 331–339

    Article  Google Scholar 

  7. MITVisTex: Vision texture database. http://www.media.mit.edu/vismod/ (1998)

  8. Brodatz, P.: Textures: A Photographic Album for Artists and Designers. Dover, New York, USA (1966)

    Google Scholar 

  9. Kohavi, R., Provost, F.: Glossary of Terms. Volume 30. Kluwer Academic Publishers, Hingham, MA, USA (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Engineering, University of Warwick, Coventry, CV4 7AL, UK

    Turgay Celik & Tardi Tjahjadi

Authors
  1. Turgay Celik
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tardi Tjahjadi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Turgay Celik .

Editor information

Editors and Affiliations

  1. , EEE Dept., Imperial College, Exhibition Road, London, SW72BT, United Kingdom

    Erol Gelenbe

  2. , EEE Dept., Imperial College, Exhibition Rd., London, SW72AZ, United Kingdom

    Ricardo Lent

  3. , EEE Dept., Imperial College, Exhibition Rd., London, SW72AZ, United Kingdom

    Georgia Sakellari

  4. , School of Biomedical Eng., Sci. and Heal, Drexel University, Bossone 702, 3120 Market Street, Philadelphia, 19104, Pennsylvania, USA

    Ahmet Sacan

  5. , Dept. of Computer Engineering, Middle East Technical University, Ankara, 06531, Turkey

    Hakki Toroslu

  6. Fac. Engineering, Dept. Computer Engineering, Middle East Technical University - METU, Ankara, 06531, Turkey

    Adnan Yazici

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media B.V.

About this paper

Cite this paper

Celik, T., Tjahjadi, T. (2011). Texture Classification and Retrieval Based on Complex Wavelet Subbands. In: Gelenbe, E., Lent, R., Sakellari, G., Sacan, A., Toroslu, H., Yazici, A. (eds) Computer and Information Sciences. Lecture Notes in Electrical Engineering, vol 62. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9794-1_50

Download citation

  • DOI: https://doi.org/10.1007/978-90-481-9794-1_50

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9793-4

  • Online ISBN: 978-90-481-9794-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation