Paper Info
Title
On the implementation of the multi-phase region segmentation, solving the hidden phase problem
Abstract
We consider the Chan and Vese multiphase segmentation based on the partition of an image minimizing an energy involving a region-based data fidelity term and a regularization term. The common implementation of the continuous optimization of this segmentation framework, with multiple level set functions, raises some numerical issues which lead to poor performance of the method when handling more than two phases. We propose a general formulation of the multiphase model, and a permutation method, incorporated in the level-set based implementation of the multi-phase approach to handle in an original way the so-called hidden phase problem.
Year
DOI
Venue
2014
10.1109/ICIP.2014.7025881
Image Processing
Keywords
Field
DocType
image segmentation,Chan multiphase segmentation,Vese multiphase segmentation,data fidelity term,general formulation,hidden phase problem,multiphase model,multiphase region segmentation,multiple level set functions,permutation method,Hidden phase,Multi-phase level sets,Mumford-Shah functional,Optimization,Segmentation
Mumford–Shah functional,Continuous optimization,Computer vision,Mathematical optimization,Scale-space segmentation,Computer science,Segmentation,Permutation,Level set,Segmentation-based object categorization,Image segmentation,Artificial intelligence
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
8
4
Name
Order
Citations
PageRank
Vincent Israel-Jost162.79
Jérôme Darbon251241.96
Elsa D. Angelini374060.44
Isabelle Bloch42123170.75