Polarization Phase-Shifting Detection Method for Central Stress in Flat Glass

Wei, 张伟 Zhang; Qiudong, 朱秋东 Zhu; Xusheng, 张旭升 Zhang

doi:10.3788/aos201838.0426001

Cited by 2 publications

(2 citation statements)

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“…目前实现偏振检测的有效方法主要有调制法 [11,12] 、多通道分光法 [9,13] 和干涉法 [14,15] 等. 多通道分光法是将待测光波按分振幅、分波前或分焦平面的原则分为多个通道, 并分别设置不同的检偏器件进行检测, 具有测量速度快的优势, 但该类方法的能量利用率较低并牺牲了部分空间分辨率 [16] . 干涉法是通过分析干涉图像来反演光波的偏振信息, 仅适用于单波长或窄线宽光波的检测 [17] .…”

Section: 引言unclassified

Algorithms for calculating polarization direction based on spatial modulation of vector optical field

Wang¹,

Xiao-Yu²,

Gao³

et al. 2023

Acta Phys. Sin.

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Polarization is an important property of electromagnetic waves, and measuring their polarization properties fast and precisely is a very important issue in many applications, such as skylight polarization navigation, optical activity measurement, imaging polarimetry, spectroscopic ellipsometry, fluorescence polarization immunoassay and so on. The polarization measurement method based on vector optical field modulation and image processing is a new type of spatial modulation polarization detection technology. The key step of this technique moving to practical application is determined by the effective polarization measuring algorithms with high speed and accuracy. In order to find out the fast and high precision polarization direction calculation methods, the principle of polarization direction measurement based on vector optical field and spatial modulation is introduced briefly, and the basic characteristics of the spatially modulated intensity distribution images are analyzed. According to the properties of spatially modulated image, we have designed and implemented four different polarization direction calculation methods, which are the Radon transform, intensity modulation curve detection, radial integration and image correlation detection, and their working principles and physical thoughts are introduced elaborately. To compare the detailed performance of these four algorithms, an experimental setup has been constructed to collect the images and perform the algorithm verification, and the stability, speed and accuracy of the four algorithms are compared respectively. The research results indicate that all the four methods can achieve stable and reliable polarization direction detection. The three methods of intensity modulation curve detection, radial integration and image correlation detection, can obtain the measurement accuracy of polarization direction better than 0.01 degrees. The intensity modulation curve detection and radial integration own the fast calculation speed relatively, and their overall performances are the best, and they are the most promising methods for realizing real-time and high-precision polarization measurement.

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Section: 引言unclassified

Algorithms for calculating polarization direction based on spatial modulation of vector optical field

Wang¹,

Xiao-Yu²,

Gao³

et al. 2023

Acta Phys. Sin.

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“…Almeida et al proposed a phase-shifting technique with phase-step and analyzed the stress of the annular disk under diametric compression [ 17 ]. Zhang et al measured the stress birefringence distribution curve of flat glass by rotating a polarization detector based on polarization interferometric method [ 18 ]. Gao et al used a polarized camera to achieve a four-step phase shift and obtained headlight lens’ stress retardation and direction images derived from Stokes matrix and Mueller matrix [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Creep Monitoring of Submersible Observation Windows Using Mueller Matrix Imaging

Zhang

et al. 2023

Materials

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Safety of the observation window is one of the core concerns for manned submersibles. When subjected to underwater static pressure, extrusion and creep deformation always occur in the observation window, which can pose a threat to both safety and optical performance. To assess the deformation, real-time and non-contact monitoring methods are necessary. In this study, a conceptual setup based on the waveplate rotation and dual-DoFP (division of focal-plane polarimeter) polarization camera is built for the observation window’s creep monitoring by measuring the Mueller matrix images of the samples under different pressures and durations. Then, a series of characteristic parameters, such as t1, R, r, R′, are extracted from the Muller matrix images by Mueller matrix transformation (MMT), Mueller matrix polar decomposition (MMPD), correlation analysis and phase unwrapping method. The results demonstrate that these parameters can effectively describe the observation window’s creep at different pressure levels which are simulated by finite element analysis. Additionally, more characterization parameters, such as ψ, A and D, are given from the Mueller matrix images and discussed to illustrate the method’s potential for further applications and investigations. Ultimately, future devices based on this method could serve as a valuable tool for real-time and non-contact creep monitoring of the submersible observation windows.

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Polarization Phase-Shifting Detection Method for Central Stress in Flat Glass

Cited by 2 publications

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Algorithms for calculating polarization direction based on spatial modulation of vector optical field

Algorithms for calculating polarization direction based on spatial modulation of vector optical field

Creep Monitoring of Submersible Observation Windows Using Mueller Matrix Imaging

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