iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://doi.org/10.1007/978-3-540-28633-2_82
Gradient Vector Flow Snake with Embedded Edge Confidence | SpringerLink
Skip to main content
Springer Nature Link
Log in

Gradient Vector Flow Snake with Embedded Edge Confidence

  • Conference paper
PRICAI 2004: Trends in Artificial Intelligence (PRICAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3157))

Included in the following conference series:

  • 843 Accesses

Abstract

Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly in locating object boundaries. Problems associated with initialization and poor convergence to boundary concavities have limited their utility. Gradient vector flow (GVF) snake solved both problems successfully. However, boundaries in noisy images are often blurred even destroyed with smoothing and false results usually occur when such images are processed even with GVF snake model. We have incorporated embedded edge confidence (EEC) into GVF snake model. The improved method can solve this problem when noisy images were processed.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. Int. J. Comput. Vis. 1, 321–331 (1987)

    Article  Google Scholar 

  2. Courant, R., Hilbert, D.: Methods of Mathematical Physics, vol. 1. Interscience, New York (1953)

    Google Scholar 

  3. Malladi, R., Sethian, J.A., Vemuri, B.C.: Shape modeling with front propagation: A level set approach. IEEE Trans. PAMI 17, 158–175 (1995)

    Google Scholar 

  4. Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. In: Proc. 5th Int. Conf. Computer Vision, pp. 694–699 (1995)

    Google Scholar 

  5. Leroy, B., Herlin, I., Cohen, L.D.: Multi-resolution algorithms for active contour models. In: 12th Int. Conf. Analysis and Optimization of System, pp. 58–65 (1996)

    Google Scholar 

  6. Cohen, L.D.: On active contour models and balloons. CVGIP: Image Understand 53, 211–218 (1991)

    Article  MATH  Google Scholar 

  7. Cohen, L.D., Cohen, I.: Finite-element methods for active contour models and balloons for 2-D and 3-D images. IEEE Trans. PAMI 15, 1131–1147 (1993)

    Google Scholar 

  8. Davatzikos, C., Prince, J.L.: An active contour model for mapping the cortex. IEEE Trans. Med. Imag. 14, 65–80 (1995)

    Article  Google Scholar 

  9. Davatzikos, C., Prince, J.L.: Convexity analysis of active contour models. In: Proc. Conf. Information Science and Systems, pp. 581–587 (1994)

    Google Scholar 

  10. Xu, C., Prince, J.L.: Snakes, Shapes and gradient vector flow. IEEE Trans. Image Processing 7, 359–369 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  11. Meer, P., Georgescu, B.: Edge detection with embedded confidence. IEEE Trans. PAMI 23, 1351–1365 (2001)

    Google Scholar 

  12. Meer, P., Weiss, I.: Smoothed differentiation filters for images. J. Visual Comm. and Image Representation, 58–72 (1992)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, 200030, P.R. China

    Yuzhong Wang & Jie Yang

Authors
  1. Yuzhong Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jie Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, and Australian ACS National Committee for Artificial Intelligence, University of Technology, Sydney, Australia

    Chengqi Zhang

  2. Department of Computer Science, Auckland University of Technology, 1020, Auckland, New Zealand

    Hans W. Guesgen

  3. Artificial Intelligence Technology Centre, Auckland University of Technology, Auckland, New Zealand

    Wai-Kiang Yeap

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, Y., Yang, J. (2004). Gradient Vector Flow Snake with Embedded Edge Confidence. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_82

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-28633-2_82

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22817-2

  • Online ISBN: 978-3-540-28633-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation