The Vese-Chan model without redundant parameter estimation for multiphase image segmentation

The Vese-Chan model without redundant parameter estimation for multiphase image segmentation

Abstract The Vese-Chan model for multiphase image segmentation uses m binary label functions to construct 2 m characteristic functions for different phases/regions systematically; the terms in this model have moderate degrees comparing with other schemes of multiphase segmentation. However, if the n...

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Bibliographic Details
Main Authors: Jie Wang, Zisen Xu, Zhenkuan Pan, Weibo Wei, Guodong Wang
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Multiphase image segmentation
Vese-Chan model
Parameter estimation
Binary label function
Alternating direction method of multipliers
Online Access:https://doi.org/10.1186/s13640-019-0488-6

Internet

https://doi.org/10.1186/s13640-019-0488-6

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