Skip to main content
SpringerLink
Log in

Using Lateral Coupled Snakes for Modeling the Contours of Worms

  • Conference paper
Pattern Recognition (DAGM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5748))

Included in the following conference series:

Abstract

A model called lateral coupled snakes is proposed to describe the contours of moving C. elegans worms on 2D images with high accuracy. The model comprises two curves with point correspondence between them. The line linking a corresponding pair is approximately perpendicular to the curves at the two points, which is ensured by shear restoring forces. Experimental proofs reveal that the model is a promising tool for locating and segmenting worms or objects with similar shapes.

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. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1(4), 321–331 (1988)

    Article  MATH  Google Scholar 

  2. Cohen, L.D.: On active contour models and balloons. Computer Vision, Graphics, and Image Processing. Image Understanding 53(2), 211–218 (1991)

    MathSciNet  MATH  Google Scholar 

  3. Xu, C., Prince, J.L.: Snakes, shapes, and gradient vector flow. IEEE Transactions on Image Processing 7(3), 359–369 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  4. Geng, W., Cosman, P., Berry, C., Feng, Z., Schafer, W.: Automatic tracking, feature extraction and classification of c. elegans phenotypes. IEEE Transactions on Biomedical Engineering 51(10), 1811–1820 (2004)

    Article  Google Scholar 

  5. Fua, P.: Model-Based Optimization: An Approach to Fast, Accurate, and Consistent Site Modeling from Imagery. In: Firschein, O., Strat, T.M. (eds.) RADIUS: Image Understanding for Intelligence Imagery, pp. 903–908. Morgan Kaufmann, San Francisco (1997)

    Google Scholar 

  6. Mayer, H., Laptev, I., Baumgartner, A.: Multi-scale and snakes for automatic road extraction. In: Burkhardt, H.-J., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1406, pp. 720–733. Springer, Heidelberg (1998)

    Google Scholar 

  7. Cham, T., Cipolla, R.: Stereo coupled active contours. In: Proc. CVPR, pp. 1094–1099 (1997)

    Google Scholar 

  8. Gunn, S.R., Nixon, M.S.: A robust snake implementation; a dual active contour. IEEE Trans. Pattern Anal. Mach. Intell. 19(1), 63–68 (1997)

    Article  Google Scholar 

  9. Hohnhuser, B., Hommel, G., Berlin, T.U., Iv, F.: 3D pose estimation using coupled snakes. J. WSCG 12, 1213–6972 (2003)

    Google Scholar 

  10. gsl: http://www.gnu.org/software/gsl/

Download references

Author information

Authors and Affiliations

  1. Chair of Pattern Recognition and Image Processing, Department of Computer Science, University of Freiburg, Germany

    Qing Wang, Olaf Ronneberger & Hans Burkhardt

  2. Centre for Biological Signalling Studies (bioss), University of Freiburg, Germany

    Qing Wang, Olaf Ronneberger, Ralf Baumeister & Hans Burkhardt

  3. Faculties of Biology and Medicine, FRIAS LIFENET, ZBSA, University of Freiburg, Germany

    Ekkehard Schulze & Ralf Baumeister

Authors
  1. Qing Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Olaf Ronneberger
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ekkehard Schulze
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ralf Baumeister
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hans Burkhardt
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Digitale Bildverarbeitung, Universität Jena, Ernst-Abbe-Platz 2, 07743, Jena, Germany

    Joachim Denzler  & Herbert Süße  & 

  2. Fraunhofer-Institut für Angewandte Optik und Feinmechanik, Albert-Einstein-Str. 7, 07745, Jena, Germany

    Gunther Notni

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, Q., Ronneberger, O., Schulze, E., Baumeister, R., Burkhardt, H. (2009). Using Lateral Coupled Snakes for Modeling the Contours of Worms. In: Denzler, J., Notni, G., Süße, H. (eds) Pattern Recognition. DAGM 2009. Lecture Notes in Computer Science, vol 5748. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03798-6_55

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03798-6_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03797-9

  • Online ISBN: 978-3-642-03798-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation