Hourglass Pattern Recognition Algorithms in Vortex Polarimetry: A Review With Quantitative Evaluation

Bei Zhang; Qiushi Zhang; Chenning Shan; Xinyun Zhu; Junjie Wang; Yang Li

doi:10.1109/TIM.2026.3718123

Hourglass Pattern Recognition Algorithms in Vortex Polarimetry: A Review With Quantitative Evaluation

Bei Zhang^*
, Qiushi Zhang
, Chenning Shan
, Xinyun Zhu
, Junjie Wang
, Yang Li

^*此作品的通讯作者

自动化科学与电气工程学院

Wuhan University
Wuhan Kediao Electric Power Technology Company Ltd.
Beihang University
National University of Singapore
Beijing Institute of Graphic Communication

科研成果: 期刊稿件 › 文献综述 › 同行评审

摘要

Vortex retarder, a typical spatial polarization modulation device, encodes incident light’s polarization information into characteristic patterns, with pattern recognition accuracy determining polarization direction (PD) and Stokes vector measurement precision. This article reviews eight representative algorithms [local morphology, radon transform (RT), correlation, and frequency domain decomposition (FDD)] and conducts multidimensional quantitative comparisons (accuracy, efficiency, and so on) via static and dynamic experiments. Results confirm FDD’s superiority in complex scenarios and high-order vortex retarders, and provide practical technical guidance for algorithm selection for polarization measurement community.

源语言	英语
期刊论文编号	7005415
期刊	IEEE Transactions on Instrumentation and Measurement
卷	75
DOI	https://doi.org/10.1109/TIM.2026.3718123
出版状态	已出版 - 2026

访问文件

10.1109/TIM.2026.3718123

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{f853c169199e461ab135c91a01c8b3b3,

title = "Hourglass Pattern Recognition Algorithms in Vortex Polarimetry: A Review With Quantitative Evaluation",

abstract = "Vortex retarder, a typical spatial polarization modulation device, encodes incident light{\textquoteright}s polarization information into characteristic patterns, with pattern recognition accuracy determining polarization direction (PD) and Stokes vector measurement precision. This article reviews eight representative algorithms [local morphology, radon transform (RT), correlation, and frequency domain decomposition (FDD)] and conducts multidimensional quantitative comparisons (accuracy, efficiency, and so on) via static and dynamic experiments. Results confirm FDD{\textquoteright}s superiority in complex scenarios and high-order vortex retarders, and provide practical technical guidance for algorithm selection for polarization measurement community.",

keywords = "Azimuthal polarizer (AP), frequency domain decomposition (FDD), polarization direction (PD) measurement, spatial polarization modulation, vortex retarder",

author = "Bei Zhang and Qiushi Zhang and Chenning Shan and Xinyun Zhu and Junjie Wang and Yang Li",

year = "2026",

doi = "10.1109/TIM.2026.3718123",

language = "英语",

volume = "75",

journal = "IEEE Transactions on Instrumentation and Measurement",

issn = "0018-9456",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Hourglass Pattern Recognition Algorithms in Vortex Polarimetry

T2 - A Review With Quantitative Evaluation

AU - Zhang, Bei

AU - Zhang, Qiushi

AU - Shan, Chenning

AU - Zhu, Xinyun

AU - Wang, Junjie

AU - Li, Yang

PY - 2026

Y1 - 2026

N2 - Vortex retarder, a typical spatial polarization modulation device, encodes incident light’s polarization information into characteristic patterns, with pattern recognition accuracy determining polarization direction (PD) and Stokes vector measurement precision. This article reviews eight representative algorithms [local morphology, radon transform (RT), correlation, and frequency domain decomposition (FDD)] and conducts multidimensional quantitative comparisons (accuracy, efficiency, and so on) via static and dynamic experiments. Results confirm FDD’s superiority in complex scenarios and high-order vortex retarders, and provide practical technical guidance for algorithm selection for polarization measurement community.

AB - Vortex retarder, a typical spatial polarization modulation device, encodes incident light’s polarization information into characteristic patterns, with pattern recognition accuracy determining polarization direction (PD) and Stokes vector measurement precision. This article reviews eight representative algorithms [local morphology, radon transform (RT), correlation, and frequency domain decomposition (FDD)] and conducts multidimensional quantitative comparisons (accuracy, efficiency, and so on) via static and dynamic experiments. Results confirm FDD’s superiority in complex scenarios and high-order vortex retarders, and provide practical technical guidance for algorithm selection for polarization measurement community.

KW - Azimuthal polarizer (AP)

KW - frequency domain decomposition (FDD)

KW - polarization direction (PD) measurement

KW - spatial polarization modulation

KW - vortex retarder

UR - https://www.scopus.com/pages/publications/105046316362

U2 - 10.1109/TIM.2026.3718123

DO - 10.1109/TIM.2026.3718123

M3 - 文献综述

AN - SCOPUS:105046316362

SN - 0018-9456

VL - 75

JO - IEEE Transactions on Instrumentation and Measurement

JF - IEEE Transactions on Instrumentation and Measurement

M1 - 7005415

ER -

Hourglass Pattern Recognition Algorithms in Vortex Polarimetry: A Review With Quantitative Evaluation

摘要

访问文件

其它文件与链接

学术指纹

引用此