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...
Main Authors: | Jie Wang, Zisen Xu, Zhenkuan Pan, Weibo Wei, Guodong Wang |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-01-01
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Series: | EURASIP Journal on Image and Video Processing |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13640-019-0488-6 |
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