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微米颗粒衍射成像过程仿真与特征分析

Numerical Research and Characteristic Analysis of Micron Particle Diffraction Imaging Process
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摘要 结合光散射理论与光迹追踪软件,建立微粒相干散射光偏振衍射成像过程仿真与特征分析模型,并通过单微球衍射成像实验进行验证.研究1965个由微球、微圆柱、微椭球组成的复杂结构散射体的衍射成像过程,并利用灰度共生矩阵对衍射图像纹理特征值进行提取与分析.研究表明,通过衍射图像可实现复杂结构散射体的无监督聚类分析,三种颗粒结构的分类准确率可达95%,同时发现双圆柱结构散射体中心间距与取向和衍射图像特征之间具有接近线性的关联. We present a simulation method combining coherent light scattering model and light-ray-tracing software to account for imaging of micron particles and analysis of their scattering characteristics and the simulation results of diffraction images was compared to the measured data for validation.With this model,the calculated diffraction images of 1965 scatterers were obtained.The scatterers were modeled as single or double spheres,cylinders and ellipsoids with varied magnitude and orientations of center connection vectors for the double-particle ones.The texture features of these diffraction images were characterized by gray-level co-occurrence matrix(GLCM)parameters.We found that diffraction images can provide effective markers for accurate and morphology-based classification,the value of mean accuracy rate of these three kinds of particles is 95%.In addition,we found that there are linear associations between the center distance and orientations of center connection vectors of the scatters consisted of double cylinders and characteristics of diffraction images.
作者 王文进 方敬 杨翔 向理 田芃 胡新华 WANG Wenjin;FANG Jing;YANG Xiang;XIANG Li;TIAN Peng;HU Xinhua(Key Laboratory of Hunan Province on Information Photonics and Freespace Optical Communications,Hunan Institute of Science and Technology,Yueyang 414006,China;School of Physics and Electronic Science,Hunan Institute of Science and Technology,Yueyang 414006,China;Department of Physics,East Carolina University,Greenville,NC 27858,U.S.A.)
出处 《湖南理工学院学报(自然科学版)》 CAS 2022年第4期9-13,共5页 Journal of Hunan Institute of Science and Technology(Natural Sciences)
基金 湖南省大学生创新创业训练计划项目(3139) 教育部大学生创新创业训练计划项目(202110543024) 湖南省教育厅科学研究优秀青年项目(18B348) 湖南省科技计划项目(2019TP1014)。
关键词 相干散射光成像 纹理特征 无监督聚类 定量关联 imaging of coherent light scattering textural features unsupervised clustering quantitative association
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