基于S-JI的高精度快速干涉粒子成像条纹图频率提取方法
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(1.天津大学 精密仪器与光电子工程学院,天津 300072;2.光电信息技术教育部重点实验室,天津 300072)

作者简介:

吕且妮 (1966-),女,博士,教授,博士生导师,主要从事粒子测量、光电调制器等方面的研究 。

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TN247

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国家自然科学基金(62275192) 资助项目


High-precision and fast evaluation fringe frequency of interferometric particle imaging based on S-JI algorithm
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(1.School of Precision Instrument and Opto-Electronics Engineering,Tianjin University,Tianjin 300072,China;2.Key Laboratory of Opto-Electronics Information Technology,Ministry of Education,Tianjin 300072,China)

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    摘要:

    高精度地提取条纹频率信息是干涉粒子成像(interferometric particle imaging,IPI) 技术的关键,本文提出一种基于简化联合插值(simplified-joint interpolation,S-JI) 的快速条纹图频率细化算法。该算法利用傅里叶谱的实部和虚部得到亚像素精度的条纹频率,由于不需要计算频移量和再次频率细化(频移),降低了算法复杂度,缩短了计算时间。数值模拟表明,相比于联合插值(joint interpolation,JI) 算法,本算法计算时间节省了2/3,且具有更优的频率估计精度和稳定性。对25 μm和70 μm的标准粒子进行了测量,获得的粒径测量相对误差小于0.3%。研究结果表明,该算法可用于高速喷射粒子场的高精度测量。

    Abstract:

    High-precision extraction of fringe frequency is crucial in interferometric particle imaging (IPI) technology.In this paper,a method based on simplified joint interpolation (S-JI) algorithm is proposed to extract the fringe frequency with high speed.The algorithm obtains subpixel-accurate fringe frequency by utilizing both the real and imaginary parts of the Fourier spectrum.Without the need for calculating the frequency offset and performing frequency refinement again (frequency shift),it reduces the algorithm complexity and shortens the computation time. Simulation results show that the processing times of S-JI algorithm saves 2/3,and has the super performance in accuracy and stability of frequency estimation,compared with joint interpolation (JI) algorithm.The relative error of the measured particle diameter is less than 0.3% for standard particles of 25 μm and 70 μm.The results demonstrate that the method presented herein is considerably promising for its application to a high-speed particle field,such as spray,in high accurately measuring particle size.

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李帅男,吕且妮,宋天慧,刘浩.基于S-JI的高精度快速干涉粒子成像条纹图频率提取方法[J].光电子激光,2025,35(6):624~630

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  • 收稿日期:2024-03-04
  • 最后修改日期:2022-11-30
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  • 在线发布日期: 2024-01-03
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