A contour detection method: Initialization and contour model

P. C. Yuen*, G. C. Feng, J. P. Zhou

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

43 Citations (Scopus)
12 Downloads (Pure)


In this paper, a new contour detection method based on the snake model is developed and reported. The proposed method consists of two steps. The first step is to locate the initial snake contour and a novel initialization algorithm has been developed. In the second step, an improved snake algorithm is developed to locate the final contour(s). Images with single and multiple objects are selected to evaluate the capability of the proposed method and the results are encouraging.

Original languageEnglish
Pages (from-to)141-148
Number of pages8
JournalPattern Recognition Letters
Issue number2
Publication statusPublished - Feb 1999

Scopus Subject Areas

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

User-Defined Keywords

  • Contour detection
  • Snake
  • Active contour model
  • Segmentation

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