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用于光纤散斑图传感器分析的图像匹配技术评估

Evaluation of image matching techniques for optical fiber specklegram sensor analysis.

作者信息

Fujiwara Eric, Ri Yoshi, Wu Yu Tzu, Fujimoto Hiroshi, Suzuki Carlos Kenichi

出版信息

Appl Opt. 2018 Nov 20;57(33):9845-9854. doi: 10.1364/AO.57.009845.

Abstract

A quantitative study of image matching techniques applied to fiber specklegram sensor analysis is presented. The fiber status is modulated by a microbending transducer, so the output speckle field can be correlated to the input displacements. Once acquired and preprocessed, the specklegrams' variations were evaluated according to seven approaches. Although the average intensity did not provide reliable information per se, the correlation and sum of differences methods yielded ∼11  mm and ∼14  mm sensitivities, respectively, within a ∼0.06  mm range and low linearity and hysteresis errors, with enhancement possibility by intensity level cancellation. Moreover, the phase-only correlation and the mutual information metrics provided very high sensitivities (22  mm and 120  mm, respectively) for a <0.02  mm range, making these techniques suitable for detecting subtle variations in the fiber status due to physical or chemical stimuli.

摘要

本文介绍了一种应用于光纤散斑图传感器分析的图像匹配技术的定量研究。光纤状态由微弯换能器调制,因此输出散斑场可与输入位移相关联。一旦采集并预处理后,根据七种方法评估散斑图的变化。虽然平均强度本身并不能提供可靠信息,但相关性和差异总和方法分别在约0.06毫米范围内产生了约11毫米和约14毫米的灵敏度,且线性度和滞后误差较低,通过强度水平消除有增强的可能性。此外,仅相位相关性和互信息指标在小于0.02毫米的范围内提供了非常高的灵敏度(分别为22毫米和120毫米),使得这些技术适用于检测由于物理或化学刺激导致的光纤状态的细微变化。

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