Skip to main content
SpringerLink
Log in

Gabor Wavelet Enabled Zernike Moments for Effective Content Based Image Retrieval

  • Conference paper
Image Analysis and Recognition (ICIAR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7950))

Included in the following conference series:

Abstract

This paper presents a novel technique Gabor Wavelet enabled Zernike Moments (GWZMs) to improve retrieval accuracy. Zernike Moments (ZMs) extract global details of an image. In order to enable ZMs to extract local details from image, Gabor filters are applied to generate various filtered images. Afterwards, ZMs are computed for these filtered images. The performance of GWZMs is evaluated on various databases such as MPEG-7 CE-2 and COIL-100 using different similarity measures. Experimental analysis shows that GWZMs improve precision obtained by ZMs from 76.61% to 85.4% at 100% recall on COIL-100 database. The performance of GWZMs (measured as average Bulls Eye Performance (BEP)) is 63.14% as compared to 56.27% (with ZMs) for MPEG-7 CE-2. The GWZMs are tested on other applied areas also, wherein they attain average BEP of 68.48% and 61.45% in comparison to 61.52% and 58.05% with ZMs on Springer medical image and electronics books graphical databases respectively.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image Retrieval: Ideas, Influences, and Trends of the New Age. ACM Computing Surveys 40(2), 1–60 (2008)

    Article  Google Scholar 

  2. Kim, W.Y., Kim, Y.S.: A Region Based Shape Descriptor using Zernike Moments. J. Signal Processing: Image Communication 16, 95–102 (2000)

    Article  Google Scholar 

  3. Teague, M.R.: Image Analysis via the General Theory of Moments. J. Opt. Soc. Am. 8, 920–930 (1980)

    Article  MathSciNet  Google Scholar 

  4. Fu, X., Li, Y., Harrison, R., Belkasim, S.: Content Based Image Retrieval Using Gabor - Zernike Features. In: Proceedings of 18th International Conference on Pattern Recognition (ICPR), pp. 417–420 (2006)

    Google Scholar 

  5. Ahmadian, E.F.A., Sayadian, F.: Image Indexing and Retrieval using Gabor Wavelet and Legendre Moments. In: Proceedings of 25th Annual International Conference of the IEEE on Engineering in Medicine and Biological Society, vol. 1, pp. 560–563 (2003)

    Google Scholar 

  6. Goyal, A., Walia, E.: An Analysis of Shape Based Image Retrieval using Variants of Zernike Moments as Features. International Journal of Imaging and Robotics 7(S12), 44–69 (2012)

    Google Scholar 

  7. Goyal, A., Walia, E.: Variants of Dense Descriptors and Zernike Moments as Features for Accurate Shape-Based Image Retrieval. J. Signal Image and video processing. Springer (2012), doi:10.1007/s11760-012-0353-x

    Google Scholar 

  8. Wee, C.Y., Raveendran, P.: On the Computational Aspects of Zernike Moments. Image and Vision Computing 25(6), 967–980 (2007)

    Article  Google Scholar 

  9. Murala, S., Maheshwari, R.P., Balasubramanian, R.: Directional Binary Wavelet Patterns for Biomedical Image Indexing and Retrieval. Medical Systems 36(5), 2865–2879 (2012)

    Article  MathSciNet  Google Scholar 

  10. Zhang, D., Lu, G.: Shape Based Image Retrieval using Generic Fourier Descriptor. J. Signal Process: Image Commun. 17(10), 825–848 (2002)

    Article  Google Scholar 

  11. Springer Online Medical Image Library, http://www.springerimages.com/ImagesMD/

  12. Su, S.-Z., Chen, S.-Y., Li, S.-Z., Li, S.-A., Duh, D.-J.: Structured Local Binary Haar Pattern for Pixel-Based Graphics Retrieval. Electronics Letters 46(14), 996–998 (2010)

    Article  Google Scholar 

  13. Columbia Object Image Library (COIL-100), http://www.cs.columbia.edu/CAVE/databases/SLAM_coil-20_coil-100/coil-100

  14. Chong, C.-W., Paramesran, R., Mukundan, R.: A Comparative Analysis of Algorithms for Fast Computation of Zernike Moments. Pattern Recognition 36, 731–742 (2003)

    Article  MATH  Google Scholar 

  15. Bober, M.: MPEG-7 Visual Shape Descriptors. IEEE Transactions Circ. Syst. for Video Technology 11(6), 716–719 (2001)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Electrical Engg., Guru Nanak Dev Engg. College, Ludhiana, India

    Y. S. Brar

  2. Dept. of Computer Science, South Asian University, New Delhi, India

    Ekta Walia

  3. Dept. of Computer Applications, Guru Nanak Inst. of Mgt. & Tech., Ludhiana, India

    Anjali Goyal

Authors
  1. Y. S. Brar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ekta Walia
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Anjali Goyal
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    Mohamed Kamel

  2. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Brar, Y.S., Walia, E., Goyal, A. (2013). Gabor Wavelet Enabled Zernike Moments for Effective Content Based Image Retrieval. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2013. Lecture Notes in Computer Science, vol 7950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39094-4_80

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-39094-4_80

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39093-7

  • Online ISBN: 978-3-642-39094-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation