Suppr超能文献

基于李萨如图形椭圆拟合和最小二乘法技术的随机两步相移干涉测量法。

Random two-step phase shifting interferometry based on Lissajous ellipse fitting and least squares technologies.

作者信息

Zhang Yu, Tian Xiaobo, Liang Rongguang

出版信息

Opt Express. 2018 Jun 11;26(12):15059-15071. doi: 10.1364/OE.26.015059.

Abstract

To accurately obtain the phase distribution of an optical surface under test, the accurate phase extraction algorithm is essential. To overcome the phase shift error, a random two-step phase shifting algorithm, which can be used in the fluctuating and non-uniform background intensity and modulation amplitude, Lissajous ellipse fitting, and least squares iterative phase shifting algorithm (LEF&LSI PSA), is proposed; pre-filtering interferograms are not necessary, but they can get relatively accurate phase distribution and unknown phase shift value. The simulation and experiment verify the correctness and feasibility of the LEF & LSI PSA.

摘要

为了准确获取被测光学表面的相位分布,精确的相位提取算法至关重要。为克服相移误差,提出了一种随机两步相移算法,该算法可用于波动和非均匀背景强度及调制幅度、李萨如图形椭圆拟合以及最小二乘迭代相移算法(LEF&LSI PSA);无需对干涉图进行预滤波,但能得到相对准确的相位分布和未知相移值。仿真和实验验证了LEF&LSI PSA的正确性和可行性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验