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Phase extraction algorithm considering high-order harmonics in fringe image processing

机译:条纹图像处理中考虑高次谐波的相位提取算法

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摘要

A phase calculation method using discrete Fourier series (DFS) is proposed to eliminate the effects of nonsinusoidal characteristics. In this method, the fundamental coefficients are extracted from continuous N samples in one cycle by DFS, with which four images with pi/2 intervals are reconstructed, and then more accurate phase distribution can be further obtained. This method is applicable for improving the precision of the traditional phase-shifting algorithm. Its effectiveness and accuracy are verified by computer simulations and moire fringe and projecting fringe experiments with about 85% of the phase error reduced compared with a four-step phase-shifting algorithm, about 70% reduction compared with a 16-step phase-shifting algorithm. (C) 2015 Optical Society of America
机译:提出了一种使用离散傅里叶级数(DFS)的相位计算方法来消除非正弦特性的影响。该方法通过DFS在一个周期内从连续的N个样本中提取基本系数,从而重建了pi / 2间隔的四个图像,然后可以进一步获得更准确的相位分布。该方法适用于提高传统相移算法的精度。通过计算机仿真,莫尔条纹和投影条纹实验验证了其有效性和准确性,与四步相移算法相比,相位误差减少了约85%,与16步相移算法相比,减少了约70% 。 (C)2015年美国眼镜学会

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