A Robust Discontinuous Phase Unwrapping Based on Least-Squares Orientation Estimator

Weighted least-squares (WLS) phase unwrapping is widely used in optical engineering. However, this technique still has issues in coping with discontinuity as well as noise. In this paper, a new WLS phase unwrapping algorithm based on the least-squares orientation estimator (LSOE) is proposed to impr...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Gaoxu Deng, Shiqian Wu, Shiyang Zhou, Bin Chen, Yucheng Liao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	WLS phase unwrapping discontinuity robust orientation estimator Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/e1ba33c7eea14705850f734a696ce4e6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e1ba33c7eea14705850f734a696ce4e6
record_format	dspace
spelling	oai:doaj.org-article:e1ba33c7eea14705850f734a696ce4e62021-11-25T17:25:31ZA Robust Discontinuous Phase Unwrapping Based on Least-Squares Orientation Estimator10.3390/electronics102228712079-9292https://doaj.org/article/e1ba33c7eea14705850f734a696ce4e62021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2871https://doaj.org/toc/2079-9292Weighted least-squares (WLS) phase unwrapping is widely used in optical engineering. However, this technique still has issues in coping with discontinuity as well as noise. In this paper, a new WLS phase unwrapping algorithm based on the least-squares orientation estimator (LSOE) is proposed to improve phase unwrapping robustness. Specifically, the proposed LSOE employs a quadratic error norm to constrain the distance between gradients and orientation vectors. The estimated orientation is then used to indicate the wrapped phase quality, which is in terms of a weight mask. The weight mask is calculated by post-processing, including a bilateral filter, STDS, and numerical relabeling. Simulation results show that the proposed method can work in a scenario in which the noise variance is 1.5. Comparisons with the four WLS phase unwrapping methods indicate that the proposed method provides the best accuracy in terms of segmentation mean error under the noisy patterns.Gaoxu DengShiqian WuShiyang ZhouBin ChenYucheng LiaoMDPI AGarticleWLS phase unwrappingdiscontinuityrobustorientation estimatorElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2871, p 2871 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	WLS phase unwrapping discontinuity robust orientation estimator Electronics TK7800-8360
spellingShingle	WLS phase unwrapping discontinuity robust orientation estimator Electronics TK7800-8360 Gaoxu Deng Shiqian Wu Shiyang Zhou Bin Chen Yucheng Liao A Robust Discontinuous Phase Unwrapping Based on Least-Squares Orientation Estimator
description	Weighted least-squares (WLS) phase unwrapping is widely used in optical engineering. However, this technique still has issues in coping with discontinuity as well as noise. In this paper, a new WLS phase unwrapping algorithm based on the least-squares orientation estimator (LSOE) is proposed to improve phase unwrapping robustness. Specifically, the proposed LSOE employs a quadratic error norm to constrain the distance between gradients and orientation vectors. The estimated orientation is then used to indicate the wrapped phase quality, which is in terms of a weight mask. The weight mask is calculated by post-processing, including a bilateral filter, STDS, and numerical relabeling. Simulation results show that the proposed method can work in a scenario in which the noise variance is 1.5. Comparisons with the four WLS phase unwrapping methods indicate that the proposed method provides the best accuracy in terms of segmentation mean error under the noisy patterns.
format	article
author	Gaoxu Deng Shiqian Wu Shiyang Zhou Bin Chen Yucheng Liao
author_facet	Gaoxu Deng Shiqian Wu Shiyang Zhou Bin Chen Yucheng Liao
author_sort	Gaoxu Deng
title	A Robust Discontinuous Phase Unwrapping Based on Least-Squares Orientation Estimator
title_short	A Robust Discontinuous Phase Unwrapping Based on Least-Squares Orientation Estimator
title_full	A Robust Discontinuous Phase Unwrapping Based on Least-Squares Orientation Estimator
title_fullStr	A Robust Discontinuous Phase Unwrapping Based on Least-Squares Orientation Estimator
title_full_unstemmed	A Robust Discontinuous Phase Unwrapping Based on Least-Squares Orientation Estimator
title_sort	robust discontinuous phase unwrapping based on least-squares orientation estimator
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e1ba33c7eea14705850f734a696ce4e6
work_keys_str_mv	AT gaoxudeng arobustdiscontinuousphaseunwrappingbasedonleastsquaresorientationestimator AT shiqianwu arobustdiscontinuousphaseunwrappingbasedonleastsquaresorientationestimator AT shiyangzhou arobustdiscontinuousphaseunwrappingbasedonleastsquaresorientationestimator AT binchen arobustdiscontinuousphaseunwrappingbasedonleastsquaresorientationestimator AT yuchengliao arobustdiscontinuousphaseunwrappingbasedonleastsquaresorientationestimator AT gaoxudeng robustdiscontinuousphaseunwrappingbasedonleastsquaresorientationestimator AT shiqianwu robustdiscontinuousphaseunwrappingbasedonleastsquaresorientationestimator AT shiyangzhou robustdiscontinuousphaseunwrappingbasedonleastsquaresorientationestimator AT binchen robustdiscontinuousphaseunwrappingbasedonleastsquaresorientationestimator AT yuchengliao robustdiscontinuousphaseunwrappingbasedonleastsquaresorientationestimator
_version_	1718412380217540608

A Robust Discontinuous Phase Unwrapping Based on Least-Squares Orientation Estimator

Ejemplares similares