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Efficient active contour model based on Vese-Chan model and split bregman method

  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we propose an efficient multi-phase image segmentation for color images based on the piecewise constant multi-phase Vese-Chan model and the split Bregman method. The proposed model is first presented in a four-phase level set formulation and then extended to a multi-phase formulation. The four-phase and multi-phase energy functionals are defined and the corresponding minimization problems of the proposed active contour model are presented. The split Bregman method is applied to minimize the multi-phase energy functional efficiently. The proposed model has been applied to synthetic and real color images with promising results. The advantages of the proposed active contour model have been demonstrated by numerical results.

Original languageEnglish
Title of host publicationIEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing
PublisherIEEE Computer Society
ISBN (Print)9781479902903
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE International Conference on Visual Communications and Image Processing, VCIP 2013 - Kuching, Sarawak, Malaysia
Duration: 17 Nov 201320 Nov 2013

Publication series

NameIEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing

Conference

Conference2013 IEEE International Conference on Visual Communications and Image Processing, VCIP 2013
Country/TerritoryMalaysia
CityKuching, Sarawak
Period17/11/1320/11/13

Keywords

  • Active contour model
  • level set method
  • multi-phase image segmentation
  • split Bregman method

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