Skip to main content
SpringerLink
Log in

Image Representation in Differential Space

  • Conference paper
Advances in Visual Computing (ISVC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5359))

Included in the following conference series:

Abstract

In this paper, a derivative estimator is introduced to obtain differential information of images. Experiments show that differentials obtained by this estimator outperform the traditional Sobel operator and this estimator is practical for extracting differential image information. A new image representation in this differential space is also proposed. Differential sign sequences of images are used as the signature of image patterns. The Hamming distance is used for template matching. The proposed representation is invariant to brightness and contrast and is robust to noise because of the low pass property of the estimator. Template matching is used as an example to exhibit the advantage of this representation. Experiments demonstrate good performance of the proposed method.

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.

Similar content being viewed by others

References

  1. Weiss, I.: High-Order Differentiation Filters That Work. IEEE trans. on pattern analysis and machine intelligence 16(7), 734–739 (1994)

    Article  Google Scholar 

  2. Cai, H., Lei, L., Su, Y.: An Affine Invariant Region Detector Using the 4th Differential Invariant. In: 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007), vol. 1, pp. 540–543 (2007)

    Google Scholar 

  3. Diplaros, A., Gevers, T., Patras, I.: Combining color and shape information for illumination-viewpoint invariant object recognition. IEEE Transactions on Image Processing 15(1), 1–11 (2006)

    Article  Google Scholar 

  4. Olver, P.J., Sapiro, G., Tannenbaum, A.: Affine invariant detection: edges, active contours, and segments. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 1996), pp. 520–525 (1996)

    Google Scholar 

  5. Qi, G., Chen, Z., Yuan, Z.: Model-free control of affine chaotic systems. Physics Letters A 344, 189–202 (2005)

    Article  MATH  Google Scholar 

  6. Guoyuan, Q., Chen, Z., Yuan, Z.: Adaptive high order differential feedback control for affine nonlinear system. Chaos, Solitons and Fractals 37, 308–315 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  7. van Wyk, M.A.: Brushless DC Motor Control (1997), http://dept.ee.wits.ac.za/~vanwyk

Download references

Author information

Authors and Affiliations

  1. French South Africa Technical Institute of Electronics (FSATIE), Tshwane University of Technology, Pretoria, 0001, SA

    Shengzhi Du, Barend Jacobus van Wyk, M. Antonie van Wyk, Guoyuan Qi & Chunling Tu

  2. Tianjin University of Technology and Education, Tianjin, 300222, P.R. China

    Xinghui Zhang

Authors
  1. Shengzhi Du
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Barend Jacobus van Wyk
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Antonie van Wyk
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Guoyuan Qi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xinghui Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Chunling Tu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Mitsubishi Electric Research Laboratories, P.O. Box 02139, Cambridge, MA, USA

    Fatih Porikli

  7. Computer and Information Science and Engineering, University of Florida, P.O. Box, FL 32611-6120, Gainsville, USA

    Jörg Peters

  8. IBM T.J. Watson Research Center, 19 Skyline Drive, NY 10532, Hawthorne, USA

    James Klosowski

  9. 128 Memorial Mall, Stewart B001, IN 47907, West Lafayette, USA

    Laura Arns

  10. Denver Museum of Nature and Space, 2001 Colorade Blvd. Denver,, CO 80205, USA

    Yu Ka Chun

  11. Departmen of Computer Science,, NC State University, Campus Box 8206, NC 27695-8206, Raleigh, USA

    Theresa-Marie Rhyne

  12. Los Alamos National Labs, P.O. Box 1663, NM 87545, Los Alamos, USA

    Laura Monroe

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Du, S., van Wyk, B.J., van Wyk, M.A., Qi, G., Zhang, X., Tu, C. (2008). Image Representation in Differential Space. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_61

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89646-3_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89645-6

  • Online ISBN: 978-3-540-89646-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation