基于矢量光场空间调制的偏振方向计算算法

Fu-Jie Wang, Xiao-Yu Cao, Chao Gao, Xue-Ke Wen, Bing Lei
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引用次数: 1

摘要

极化是电磁波的一种重要特性,快速准确地测量电磁波的极化特性在天窗偏振导航、光学活性测量、成像偏振法、光谱椭偏法和荧光偏振免疫分析等许多应用中都是一个非常重要的问题。基于矢量光场调制和图像处理的偏振测量方法是一种新型的空间调制偏振检测技术。高效、高速、高精度的偏振测量算法决定了该技术走向实用化的关键一步。为了找到快速精确计算偏振方向的方法,简要介绍了基于矢量光场和空间调制的偏振方向测量原理,分析了空间调制光强分布图像的基本特征。根据空间调制图像的特点,提出并实现了Radon变换、强度调制曲线检测、径向积分和图像相关检测四种不同的偏振方向计算方法,并详细介绍了它们的工作原理和物理思想。为了比较这四种算法的详细性能,构建了实验装置进行图像采集并对算法进行验证,比较了四种算法的稳定性、速度和精度。研究结果表明,四种方法均能实现稳定可靠的极化方向检测。强度调制曲线检测、径向积分检测和图像相关检测三种方法均可实现偏振方向测量精度优于0.01°。强度调制曲线检测和径向积分具有较快的计算速度和最佳的综合性能,是实现实时高精度偏振测量最有前途的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithms for calculating polarization direction based on spatial modulation of vector optical field
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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