Dividing snake algorithm for multiple object segmentation

Chong Sze TONG*, Pong Chi YUEN, Y. Y. Wong

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

2 Citations (Scopus)


Active contour models, otherwise known as snakes, are extensively used in image processing and computer vision applications. However, although the approach is popular for detecting the contours of smooth convex objects, it is much more problematic in handling images containing an object with concave parts or sharp corners, or multiple objects. We further develop our segmented snake approach to contour detection and illustrate its flexibility by showing how it can be adapted to yield a dividing snake algorithm for use in multiple object segmentation. We also introduce a snake relaxation technique that can improve the convergence of the snake contour onto the object boundary.

Original languageEnglish
Pages (from-to)3177-3182
Number of pages6
JournalOptical Engineering
Issue number12
Publication statusPublished - Dec 2002

Scopus Subject Areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

User-Defined Keywords

  • Contour length terminating criterion
  • Multiple object segmentation
  • Segmented snake algorithm
  • Snake relaxation
  • Split and merge


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