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首页> 外文期刊>Applied optics >Improved algorithm for multiwavelength single-shot interferometric surface profiling: speeding up the multiwavelength-integrated local model fitting method by local information sharing
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Improved algorithm for multiwavelength single-shot interferometric surface profiling: speeding up the multiwavelength-integrated local model fitting method by local information sharing

机译:改进的多波长单次干涉表面轮廓分析算法:通过局部信息共享加快多波长集成局部模型拟合方法

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摘要

The local model fitting (LMF) method is a single-shot interferometric surface profiling algorithm that possesses nondestructive, fast, accurate, and robust measurement capabilities. To extend the measurement range of LMF, extensions based on multiwavelength light sources such as the multiwavelength-matched LMF (MM-LMF) method and the multiwavelength-integrated LMF (MI-LMF) method were proposed recently. MM-LMF is computationally efficient but it tends to suffer from phase unwrapping errors, whereas MI-LMF tends to be accurate but it is computationally expensive. In this paper, we improve the computational efficiency of MI-LMF by combining it with MM-LMF via local information sharing. Through actual experiments, we demonstrate that the proposed method is approximately 10 times faster than the original MI-LMF method, with measurement accuracy kept comparable.
机译:局部模型拟合(LMF)方法是一种单次干涉表面轮廓分析算法,具有无损,快速,准确和鲁棒的测量功能。为了扩展LMF的测量范围,最近提出了基于多波长光源的扩展,例如多波长匹配LMF(MM-LMF)方法和多波长集成LMF(MI-LMF)方法。 MM-LMF的计算效率很高,但容易遭受相位展开错误的困扰,而MI-LMF的精度却很高,但计算量很大。在本文中,我们通过局部信息共享将MI-LMF与MM-LMF相结合,提高了计算效率。通过实际实验,我们证明了所提出的方法比原始的MI-LMF方法快大约10倍,并且测量精度保持可比性。

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