Contour length terminating criterion for snake model

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

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

8 Citations (Scopus)


The snake model, that involves a recursive scheme for contour searching, is widely employed in object contour detection. In a recursive algorithm, a terminating criterion is essential to terminate the process. However, existing terminating criteria for snake cannot acquire good results for contour detection. Two commonly employed terminating criteria for snake are addressed and their limitations on stability and reliability are discussed. A novel terminating criterion, named as contour length criterion (CL-criterion), is developed and reported in this paper. This criterion measures the normalized total length of the contour at each iteration. A number of images are selected to evaluate the effect of applying the proposed terminating criterion on the snake model and the results are encouraging. Compared to existing criteria, the proposed method is more stable and reliable.

Original languageEnglish
Pages (from-to)597-606
Number of pages10
JournalPattern Recognition
Issue number5
Publication statusPublished - 1 Mar 1998

Scopus Subject Areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

User-Defined Keywords

  • Contour detection
  • Recursive method
  • Snake model
  • Terminating criterion

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