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Phase Extraction in Dynamic Speckle Interferometry with Empirical Mode Decomposition and Hilbert Transform

机译:经验模态分解和希尔伯特变换的动态散斑干涉中的相位提取

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In many respects, speckle interferometry (SI) techniques are being considered as mature tools in the experimental mechanics circles. These techniques have enlarged considerably the field of optical metrology, featuring nanometric sensitivities in whole-field measurements of profile, shape and deformation of mechanical rough surfaces. Nonetheless, when we consider classical fringe processing techniques, e.g. phase-shifting methods, the deformation range is intrinsically limited to the correlation volume of the speckle field. In addition, the phase evaluation from such patterns is still computationally intensive, especially in the characterisation of dynamic regimes, for which there is a growing interest in a wide range of research and engineering activities. A promising approach lies in the pixel history analysis. We propose in this paper to implement the empirical mode decomposition (EMD) algorithm in a fast way, to put the pixel signal in an appropriate shape for accurate phase computation with the Hilbert transform.
机译:在许多方面,散斑干涉测量(SI)技术被视为实验力学圈中的成熟工具。这些技术极大地扩展了光学计量学领域,在对机械粗糙表面的轮廓,形状和变形进行全场测量时具有纳米灵敏度。尽管如此,当我们考虑经典条纹处理技术时,例如通过相移方法,变形范围本质上仅限于散斑场的相关体积。另外,从这种模式进行相位评估仍然需要大量的计算,特别是在动态状态的表征方面,对此,人们对广泛的研究和工程活动越来越感兴趣。一种有前途的方法在于像素历史分析。我们建议在本文中以快速方式实施经验模式分解(EMD)算法,以将像素信号放置在适当的形状中,以利用希尔伯特变换进行精确的相位计算。

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