Proceedings of the First International Conference on Information Science and Electronic Technology

Application of Maxflow/Mincut Algorithm in Phase Unwrapping

Authors
Zhen Zhou, Guangmin Wu, Fanguang Zeng, Jianming Chen
Corresponding Author
Zhen Zhou
Available Online March 2015.
DOI
https://doi.org/10.2991/iset-15.2015.21How to use a DOI?
Keywords
Information optics, Phase unwrapping, Markov random field, Maxflow/mincut, Discontinuous phase
Abstract
Phase Unwrapping is an important and difficult problem in interference measurement.Its accuracy directly impacts on the application of the technology. In order to improve the accuracy of unwrapping, we use Bayesian decision theory, establishing the maximum a posteriori Markov random field energy model (MAP-MRF), getting the energy function, so that the phase unwrapping turns into an optimization problem. Then the maximum flow / minimum cut theory is proposed to solve the problem. Experimental results show that the maximum flow / minimum cut theory can well done to optimize the energy function, and the unwrapping results compared to conventional algorithm has an unparalleled advantage on precision.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
First International Conference on Information Science and Electronic Technology (ISET 2015)
Part of series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-50-9
DOI
https://doi.org/10.2991/iset-15.2015.21How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhen Zhou
AU  - Guangmin Wu
AU  - Fanguang Zeng
AU  - Jianming Chen
PY  - 2015/03
DA  - 2015/03
TI  - Application of Maxflow/Mincut Algorithm in Phase Unwrapping
BT  - First International Conference on Information Science and Electronic Technology (ISET 2015)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iset-15.2015.21
DO  - https://doi.org/10.2991/iset-15.2015.21
ID  - Zhou2015/03
ER  -