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基于物体非干涉图像的加权最小二乘相位解缠算法。

Weighted least-squares phase unwrapping algorithm based on a non-interfering image of an object.

作者信息

Wang Xian, Fang Suping, Zhu Xindong

出版信息

Appl Opt. 2017 May 20;56(15):4543-4550. doi: 10.1364/AO.56.004543.

DOI:10.1364/AO.56.004543
PMID:29047890
Abstract

Conventional quality maps for weighted least-squares phase unwrapping are not appropriate in regions of abnormal fringes. In this paper, the use of a non-interfering image of an object for a reliability map is proposed for robust phase unwrapping. First, the conventional weighted least-squares algorithm is applied, and the unreliable region is detected. Then, the unreliable region is unwrapped iteratively using the non-interfering image of the object. Finally, both phase maps are combined and smoothed by a continuity operation. Experimental results show that the proposed algorithm is appropriate for unwrapping phase maps of abnormal fringes.

摘要

用于加权最小二乘相位展开的传统质量图在异常条纹区域并不适用。本文提出使用物体的非干涉图像作为可靠性图来进行稳健的相位展开。首先,应用传统的加权最小二乘算法,并检测不可靠区域。然后,使用物体的非干涉图像对不可靠区域进行迭代展开。最后,通过连续性操作将两个相位图合并并平滑。实验结果表明,所提出的算法适用于展开异常条纹的相位图。

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