Literature DB >> 18427587

An improved algorithm for the piecewise-smooth Mumford and Shah model in image segmentation.

Yingjie Zhang1.   

Abstract

An improved algorithm for the piecewise-smooth Mumford and Shah functional is presented. Compared to the previous work of Chan and Vese, and Choi et al., extensions of the key functions u(+/-) are replaced by updating the level set function based on an artificial image that is composed of the diffused image and the original image. The low convergence problem of the classical algorithm is efficiently solved in the proposed approach. The resulting algorithm has also been demonstrated by several cases.

Year:  2006        PMID: 18427587      PMCID: PMC3171320          DOI: 10.1155/BSB/2006/84397

Source DB:  PubMed          Journal:  EURASIP J Bioinform Syst Biol        ISSN: 1687-4145


  2 in total

1.  Active contours without edges.

Authors:  T F Chan; L A Vese
Journal:  IEEE Trans Image Process       Date:  2001       Impact factor: 10.856

2.  Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification.

Authors:  A Tsai; A R Yezzi; A S Willsky
Journal:  IEEE Trans Image Process       Date:  2001       Impact factor: 10.856

  2 in total

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