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Convex non-convex image segmentation

Raymond Honfu Chan The Chinese University of Hong Kong

Numerical Analysis and Scientific Computing mathscidoc:1701.25003

A convex non-convex variational model is proposed for multiphase image segmentation. We consider a specially designed non-convex regularization term which adapts spatially to the image structures for better controlling of the segmentation and easy handling of the intensity inhomogeneities. The nonlinear optimization problem is effciently solved by an Alternating Directions Methods of Multipliers procedure. We provide a convergence analysis and perform numerical experiments on several images, showing the e ffectiveness of this procedure.
Segmentation, non-convex optimization, Mumford-Shah model
[ Download ] [ 2017-01-26 23:37:14 uploaded by rchan ] [ 1401 downloads ] [ 0 comments ] 
@inproceedings{raymondconvex,
  title={CONVEX NON-CONVEX IMAGE SEGMENTATION},
  author={Raymond Honfu Chan},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20170126233714912711129},
}
Raymond Honfu Chan. CONVEX NON-CONVEX IMAGE SEGMENTATION. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20170126233714912711129.
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