Skip to main content
SpringerLink
Log in

Estimation of Initial Contour Based on Edge Background Subtraction for Self-affine Mapping System

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4693))

  • 2074 Accesses

Abstract

Self-affine mapping system is a technique that can extract the contour on the basis of rough form. A self-similarity at the block unit in square is utilized. The initial contour of this technique is given as a simple form by hand, the result of background subtraction or frame subtraction and the selection from candidates of the plural outline form with degree of separation. However, there are some problems in case that the cost of manual operation is large, or the self-similarity does not hold when the object has the similar brightness as the background. So, in this paper, we propose a new method to extract the contour with self-affine mapping system from the rough form of the object obtained by using edge background subtraction and interpolation.

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 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

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. Boykov, Y.Y., Jolly, M.: Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images. In: Proc. of ICCV, pp. 105–112 (2001)

    Google Scholar 

  2. Blake, A., Rother, C., Brown, M., Perez, P., Torr, P.: Interactive image segmentation using an adaptive GMMRF model. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3024, pp. 428–441. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: active contour models. IJCV 1(2), 321–331 (1988)

    Article  MATH  Google Scholar 

  4. Amini, A.A., Weymouth, T.E.: Using dynamic programming for solving variational problems in vision. IEEE Trans. PAMI 12(9), 855–867 (1990)

    Article  Google Scholar 

  5. Paragios, N., Deriche, R.: Geodesic active contours and level sets for the detection and tracking of moving objects. IEEE Trans. PAMI 22(3), 266–280 (2000)

    Article  Google Scholar 

  6. Ida, T., Sambonsugi, Y.: Self-affine mapping system and its application to object contour extraction. IEEE Trans. TIP 9(11), 1926–1936 (2000)

    MathSciNet  MATH  Google Scholar 

  7. Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. SMC 9(1), 62–66 (1979)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Information Science and Technology, Aichi Prefectural University, Nagakute-cho, Aichi-gun 480-1198, Japan

    Haruki Kawanaka

  2. Faculty of Engineering, Chubu University, Matsumoto-cho 1200, Kasugai 487-8501, Japan

    Hirofumi Kato, Fuminori Matsubara & Yuji Iwahori

  3. Department of Computer Science and Technology, University of British Columbia, Vancouver, B.C., V6T 1Z4, Canada

    Robert J. Woodham

Authors
  1. Haruki Kawanaka
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hirofumi Kato
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fuminori Matsubara
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yuji Iwahori
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Robert J. Woodham
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Via Comelico 39/41, 20135, Milano, Italy

    Bruno Apolloni

  2. Centre for SMART Systems, School of Engineering, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kawanaka, H., Kato, H., Matsubara, F., Iwahori, Y., Woodham, R.J. (2007). Estimation of Initial Contour Based on Edge Background Subtraction for Self-affine Mapping System. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_125

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74827-4_125

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74826-7

  • Online ISBN: 978-3-540-74827-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation