A Shakable Snake for Estimation of Image Contours

  • Jin-Sung Yoon
  • Joo-Chul Park
  • Seok-Woo Jang
  • Gye-Young Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3043)

Abstract

Active contour models are powerful tool for object contour extraction. This paper addresses some problems of conventional snake models, and proposes a shakable snake based on a greedy snake. By using a method of shaking a snake, the proposed snake algorithm can attracts the snake to the image contours rapidly and accurately. We show that good results can be obtained by shaking a snake.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Michael, K., Andrew, W., Demetri, T.: Snakes: Active Contour Models. Int. J. Computer Vision 1(4), 321–331 (1987)Google Scholar
  2. 2.
    Donna, J.W., Mubarak, S.: A Fast Algorithm for Active Contours and Curvature Estimation. CVGIP: Image Understanding 55(1), 14–26 (1992)MATHCrossRefGoogle Scholar
  3. 3.
    Lam, K.M., Yan, H.: Fast Greedy Algorithm for Active Contours. Electronics Letters 30(1), 21–23 (1994)CrossRefGoogle Scholar
  4. 4.
    Lilian, J., Hong, Y.: Attractable Snakes Based on the Greedy Algorithm for Contour Extraction. The Journal of the Pattern Recognition 35(4), 791–806 (2002)MATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jin-Sung Yoon
    • 1
  • Joo-Chul Park
    • 1
  • Seok-Woo Jang
    • 1
  • Gye-Young Kim
    • 1
  1. 1.School of ComputingSoongsil UniversitySeoulKorea

Personalised recommendations