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基于矢量光场空间调制的光波偏振方向解算方法研究

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

  • 摘要: 基于矢量光场调制与图像处理的偏振测量技术是一种新型的空间调制型偏振检测技术, 快速高精度的偏振解算方法是该技术走向实用的关键. 为探索快速高精度的偏振方向解算方法, 在简要介绍基于矢量光场空间调制的偏振方向检测技术原理的基础上, 分析了空间偏振调制型光强分布图像的基本特征, 设计并实现了Radon变换、光强调制曲线检测、径向积分和图像相关检测四种偏振方向解算方法, 详细阐述了他们的工作原理和物理思想. 为进行算法性能对比, 搭建实验系统并采集图像进行了实验验证, 分别对四种解算方法的稳定性、速度和精度等进行了对比研究, 结果表明, 四种方法均可实现稳定可靠的偏振方向检测, 光强调制曲线检测、径向积分和图像相关检测三种方法可获得优于0.01度的角度检测精度, 光强调制曲线检测和径向积分法的检测速度较快, 综合性能最优, 是最有潜力实现实时高精度偏振方向检测的两种方法.

     

    Abstract: 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, and fluorescence polarization immunoassay . 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 effective polarization measuring algorithms with high speed and accuracy. In order to find out the method of fast and precisely calculating polarization direction, 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 propose and implement four different polarization direction calculation methods, which are the Radon transform, intensity modulation curve detection, radial integration, and image correlation detection, and also introduce their working principles and physical thoughts elaborately. To compare the detailed performances of these four algorithms, an experimental setup is constructed to collect the images and perform the algorithm verification, and the stabilities, speeds and accuracies of the four algorithms are compared. The research results indicate that all the four methods can achieve their stable and reliable polarization direction detections. The three methods, intensity modulation curve detection, radial integration and image correlation detection, can achieve the polarization direction measuring accuracy better than 0.01° . The intensity modulation curve detection and radial integration have relatively fast calculation speed and the best comprehensive performances , and are the most promising methods to realize real-time and high-precision polarization measurement.

     

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