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基于可靠性评估的质量引导相位解缠算法

Quality-guided phase unwrapping algorithm based on reliability evaluation.

作者信息

Fang Suping, Meng Lei, Wang Leijie, Yang Pengcheng, Komori Masaharu

机构信息

State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China.

出版信息

Appl Opt. 2011 Oct 1;50(28):5446-52. doi: 10.1364/AO.50.005446.

Abstract

For optical interferometry, a new quality-guided phase unwrapping algorithm based on the reliability evaluation of each pixel of the wrapped phase is proposed. First, the parameters used as quality measures in the past quality-guided algorithms are classified into the reliability measure and the quality measure, and the intensity of the object image belongs to the reliability measure. Then, by computing and applying a threshold to the intensity of the object image, the valid region (i.e., the interference region) is distinguished into the reliable region and the doubtful region. The wrapped phase in the reliable region is subsequently unwrapped by the way of multipaths integration, and different paths are guided by separate quality measures. Finally, starting from the reliable region, the doubtful region is unwrapped by the way that each path takes in the reliable region. Experimental results have shown that the proposed algorithm not only performs well, but also computes efficiently.

摘要

针对光学干涉测量,提出了一种基于包裹相位各像素可靠性评估的新型质量引导相位解缠算法。首先,将以往质量引导算法中用作质量度量的参数分为可靠性度量和质量度量,物体图像的强度属于可靠性度量。然后,通过计算物体图像强度并应用阈值,将有效区域(即干涉区域)区分为可靠区域和可疑区域。可靠区域内的包裹相位随后通过多路径积分的方式进行解缠,不同路径由单独的质量度量引导。最后,从可靠区域开始,通过各路径在可靠区域采用的方式对可疑区域进行解缠。实验结果表明,所提算法不仅性能良好,而且计算效率高。

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