An efficient multiscale approach to level set evolution

Hongmei Zhang, Zhengzhong Bian, Youmin Guo, Baowei Fei, Min Ye

Research output: Contribution to journalConference articlepeer-review

14 Scopus citations


In this paper, an efficient multiscale scheme for level set evolution is proposed. First, we are addressing the problem of passing the solution from the coarser scale to the finer one. Inspired by the idea of the entropy condition and its extention, an efficient passing solution method is presented, where neither extrapolation nor complex computation is needed. Thus it could induce fast convergence rate. Furthermore, an improved Hermes algorithm, called fast Hermes, is developed to fast implement the level set evolution on each scale by further loosening the constraint in the intermediate levels. Our approach is evaluated and compared to the existing algorithm. The experimental results are very promising.

Original languageEnglish (US)
Pages (from-to)694-697
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
StatePublished - 2003
Externally publishedYes
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003


  • Fast Hermes
  • Front propagation
  • Level set
  • Multiscale
  • Potential front
  • Segmentation

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics


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