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Multiwavelength-integrated local model fitting method for interferometric surface profiling

机译:干涉表面轮廓的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 useful single-shot surface profiling algorithm that features fast measurement speed and robustness against vibration. However, the measurement range of the LMF method (i.e., measurable height difference between two neighboring pixels) is limited up to a quarter of the light source wavelength. To cope with this problem, the multiwavelength-matched LMF (MM-LMF) method was proposed, where the plain LMF method is first applied individually to interference images obtained from multiple light sources with different wavelengths, and then the LMF solutions are matched to obtain a range-extended solution. Although the MM-LMF method was shown to provide high measurement accuracy under moderate noise, phase unwrapping errors can occur if individual LMF solutions are erroneous. In this paper, we propose the multiwavelength-integrated LMF (MI-LMF) method, which directly computes a range-extended solution from multiple interference images in an integrated way. The effectiveness of the proposed MI-LMF method is demonstrated through simulations and actual experiments.
机译:局部模型拟合(LMF)方法是一种有用的单次表面轮廓分析算法,具有快速的测量速度和抗振动的鲁棒性。但是,LMF方法的测量范围(即,两个相邻像素之间的可测量的高度差)被限制到光源波长的四分之一。为了解决这个问题,提出了多波长匹配LMF(MM-LMF)方法,其中首先将普通LMF方法分别应用于从多个具有不同波长的光源获得的干涉图像,然后对LMF解进行匹配以获得范围扩展的解决方案。尽管已显示MM-LMF方法在中等噪声下可提供较高的测量精度,但如果单个LMF解决方案有误,则可能会发生相位解缠误差。在本文中,我们提出了多波长集成LMF(MI-LMF)方法,该方法可以以集成方式直接从多个干涉图像中计算出距离扩展解。通过仿真和实际实验证明了所提出的MI-LMF方法的有效性。

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