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首页> 外文会议>2nd International EUSPEN Conference on Precision Engineering Nanotechnology Vol.1, May 27th-31st, 2001, Turin, Italy >A Functional Noise-immune Unwrapping Method Based on Wrapped Phase Statistics and Self-calibration
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A Functional Noise-immune Unwrapping Method Based on Wrapped Phase Statistics and Self-calibration

机译：基于包裹相位统计和自校准的功能性抗噪解卷方法

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摘要

Due to the disturbances such as noises and speckles, accurate phase unwrapping has been a problem in the interference measurement applications. A novel noise-immune phase unwrapping method is introduced. The new method is based on the continuity and the smoothness characteristics of the general interference phases. Furthermore, an analysis of the modes in which corrupted pixels affect the unwrapping results is utilized. In the proposed method, the self-calibration feature is to identify and correct the corrupted pixels. An easy to use unwrapping algorithm is presented. In this algorithm, statistical wrapping thresholds are firstly used to obtain initial results. This is followed by a processing step to discern and correct the errors in the phase unwrapping and the errors in the propagation along the path. The algorithm is proved to be sufficiently accurate, while it is simple and effective for a continuous and smooth phase recovery.
机译：由于诸如噪声和斑点之类的干扰，在干扰测量应用中，精确的相位展开已经成为问题。介绍了一种新型的抗噪声相位解缠方法。该新方法基于一般干涉相的连续性和平滑度特性。此外，利用了其中损坏的像素影响展开结果的模式的分析。在提出的方法中，自校准功能是识别和校正损坏的像素。提出了一种易于使用的解包算法。在该算法中，首先使用统计包装阈值来获得初始结果。随后是处理步骤，以识别和校正相位展开中的误差以及沿路径传播中的误差。该算法被证明是足够准确的，同时对于连续且平稳的相位恢复而言既简单又有效。

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