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微观全息粒子图像测速中的粒子图像识别与相关性分析

Particle image identification and correlation analysis in microscopic holographic particle image velocimetry.

作者信息

Wormald S Andrew, Coupland Jeremy

机构信息

Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University, Loughborough, Leicestershire, LE11 3TU, United Kingdom.

出版信息

Appl Opt. 2009 Nov 20;48(33):6400-7. doi: 10.1364/AO.48.006400.

Abstract

This paper discusses the different analysis methods used in holographic particle image velocimetry to measure particle displacement and compares their relative performance. A digital holographic microscope is described and is used to record the light scattered by particles deposited on cover slides that are displaced between exposures. In this way, particle position and displacement are controlled and a numerical data set is generated. Data extraction using nearest neighbor analysis and correlation of either the reconstructed complex amplitude or intensity fields is then investigated.

摘要

本文讨论了全息粒子图像测速术中用于测量粒子位移的不同分析方法,并比较了它们的相对性能。描述了一种数字全息显微镜,它用于记录沉积在盖玻片上的粒子散射的光,这些盖玻片在曝光之间发生位移。通过这种方式,控制粒子的位置和位移,并生成一个数值数据集。然后研究了使用最近邻分析以及重建复振幅场或强度场的相关性来提取数据的方法。

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