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SFFT based phase demodulation for faster interference fringes analysis

机译:基于SFFT的相位解调可实现更快的干涉条纹分析

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Try to take advantages of the high-resolution CCD/CMOS developed over the years for real-time three-dimensional deformation/geometry metrology system development, Fourier transform (FT) based algorithms have been integrated to convert interference fringes to wrapped phase maps and then to unwrapped phase maps. All of which led to easy implementation of the algorithms developed over the years to achieve extremely efficient FT computation. Sparse Fast Fourier Transform (SFFT) that only calculating the non-zero coefficient in frequency domain, includes calculations of imaginary part and log, was implemented to further accelerate the computation rate for the above-mentioned FT based operations. Coupling the SFFT accelerated phase map computation approach with Michelson interferometer and Electronic Speckle Pattern Interferometry (ESPI) for near real-time three-dimensional deformation measurement led to the newly developed system. The directions of object deformation are revealed by performing FT to the interference fringes obtained with pre-introduced spatial carrier frequency, which provides a way to retrieve the phase maps by using a single rather than several intensity maps. With only one image frame needed, the interference fringes caused by the deformation could be recorded for off-line phase maps computation if the computation efforts are longer than the recording frame rate. To apply the SFFT algorithm on phase retrieval, a conceptual framework was presented. The benefit of using SFFT as compared to FT was also demonstrated.
机译:尝试利用多年来开发的高分辨率CCD / CMOS进行实时三维变形/几何计量系统开发,已集成基于傅立叶变换(FT)的算法,将干涉条纹转换为包裹的相位图,然后展开相位图。所有这些都使得易于开发的算法得以实现,这些算法是为实现极高效的FT计算而开发的。实施了仅在频域中计算非零系数(包括虚部和对数的计算)的稀疏快速傅立叶变换(SFFT),以进一步加快上述基于FT的运算的计算速度。将SFFT加速相位图计算方法与迈克尔逊干涉仪和电子散斑图案干涉仪(ESPI)结合在一起,用于近实时三维变形测量,从而开发了新系统。通过对使用预先引入的空间载频获得的干涉条纹进行FT,可以揭示物体变形的方向,这提供了一种使用单个而不是几个强度图来检索相位图的方法。仅需一个图像帧,如果计算工作量大于记录帧速率,就可以记录由变形引起的干涉条纹,以进行离线相位图计算。为了将SFFT算法应用于相位检索,提出了一个概念框架。与FT相比,还证明了使用SFFT的好处。

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