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基于分割缩放的欠采样相位图解包裹算法

徐天杰 钱晓凡 戴欣冉 李斌

激光技术Issue(1):39-43,5.
激光技术Issue(1):39-43,5.DOI:10.7510/jgjs.issn.1001-3806.2014.01.009

基于分割缩放的欠采样相位图解包裹算法

Unwrapping algorithm based on segmentation and zooming for undersampled wrapped phase

徐天杰 1钱晓凡 1戴欣冉 1李斌1

作者信息

  • 1. 昆明理工大学 理学院 激光研究所,昆明 650500
  • 折叠

摘要

Abstract

In order to obtain phase information,many unfavorable factors such as noise,breakpoint and under sampling must be overcome.Aimed at too low sampling frequency and high fringe density,the root cause of the undersampling problem,unwrapping algorithm based on segmentation and zooming principle was introduced.After enlarging interference fringe whose density is too high by interpolation method,the phase was unwrapped.The simulation and experimental results show the feasibility of the proposed algorithm.It turns out that it is an effective unwrapping algorithm for undersampled wrapped phase.

关键词

全息/相位解包裹/分割缩放/欠采样

Key words

holography/phase unwrapping/segmentation and zooming/undersampling

分类

数理科学

引用本文复制引用

徐天杰,钱晓凡,戴欣冉,李斌..基于分割缩放的欠采样相位图解包裹算法[J].激光技术,2014,(1):39-43,5.

基金项目

国家自然科学基金资助项目 ()

激光技术

OA北大核心CSCDCSTPCD

1001-3806

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