Arbitrary initialization for Chan–Vese model

Hailong Huang, Xin Zuo, Chao Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review


Three problems about initialization of Chan–Vese model impeding its applications of Chan–Vese model, are discussed in this paper first by various experiments. Then, a novel method to solve these badly initialization problems is proposed, which can be divided into three parts: a hypothesis that image boundaries do not contain any feature of the objects; an examination criterion to check whether the current contour is suitable for continuing or not; and a method to revise the unsuitable current contour into a new one. The most important advantage of our proposed method is that it realizes the arbitrary initialization which can release the manual work in essence. Extensive experiments on synthetic and real images demonstrate the advantages of the proposed method.
Original languageEnglish
Pages (from-to)5257-5263
Issue number18
Publication statusPublished - Sept 2014
Externally publishedYes


  • Image segmentation
  • Active contours
  • Initialization
  • Chan–Vese model
  • Examination criterion


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