Adaptive active contour model for highly irregular boundaries

Wai Pak Choi, Kin Man Lam, Wan Chi Siu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

52 Citations (Scopus)

Abstract

Snake is an active contour model for representing image contours. In this paper, we propose an efficient active contour model which can represent highly irregular boundaries. The algorithm includes an adaptive force along the contour, and adjusts the number of points for the snake according to the desired boundary. A better stopping criterion based on the area of a closed contour is devised. Furthermore, in this method, a contour can break automatically to represent the contours of multiple objects. Experiments show that this method can extract object's boundaries accurately and efficiently.
Original languageEnglish
Pages (from-to)323-331
Number of pages9
JournalPattern Recognition
Volume34
Issue number2
DOIs
Publication statusPublished - 1 Jan 2001

ASJC Scopus subject areas

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

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