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Phase-unwrapping algorithm based on frequency analysis for measurement of a complex object by the phase-measuring-profilometry method

机译:基于频率分析的相位测量轮廓法相位测量轮廓法

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摘要

A new phase-unwrapping algorithm based on fringe frequency analysis is presented that will achieve greater automation and precision in measuring complex objects by phase-measuring profilometry (PMP). The new algorithm, which combines digital weighted filtering in the frequency domain and modulation ordering in the spatial domain, can recognize corrupt pixels automatically and produce a better phase-unwrapping path. By frequency weighted filtering, the analysis of fringe frequency is converted into the analysis of fringe modulation. Then, based on a strong correlation between local spatial frequency and the reliability of phase data, ordering of the filtered modulation produces an optimized unwrapping path. Simulation and experiments verify the new algorithm.
机译:提出了一种基于条纹频率分析的新相位展开算法,该算法将通过相位测量轮廓图(PMP)来实现复杂对象的测量,从而实现更高的自动化和精度。新算法结合了频域中的数字加权滤波和空间域中的调制顺序,可以自动识别损坏的像素并产生更好的相位展开路径。通过频率加权滤波,将条纹频率的分析转换为条纹调制的分析。然后,基于本地空间频率与相位数据可靠性之间的强相关性,对滤波后的调制进行排序会产生优化的展开路径。仿真和实验验证了该新算法的正确性。

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