Journal of East China Normal University(Natural Sc ›› 2006, Vol. 2006 ›› Issue (3): 66-70,1.

• Article • Previous Articles     Next Articles

Level Set Approach for Image Segmentation Based on Extended Chan-Vese Model and AOS Scheme(Chinese)

XU Sheng, LI Zhi-bin   

  1. Department of Computer Science, East China Normal University, Shanghai 200062, China
  • Received:2005-06-16 Revised:2005-09-21 Online:2006-05-25 Published:2006-05-25
  • Contact: XU Sheng

Abstract: A new level set approach for image segmentation was proposed based on the piecewise-constant Mumford-Shah model developed by Chan and Vese, The approach used AOS scheme, which is unconditional stable, to discrete the level set function. Besides, extended fast marching method for constructing the signed distance function was introduced to reduce the amount of computation significantly.

Key words: extended Chan-Vese model, level set method, AOS scheme, signed distant function, image segmentation, extended Chan-Vese model, level set method, AOS scheme, signed distant function

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