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An Effective On-line Polymer Characterization Technique by Using SALS Image Processing Software and Wavelet Analysis

机译:利用SALS图像处理软件和小波分析的有效在线聚合物表征技术

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摘要

This paper describes an effective on-line polymer characterization technique by using small-angle light-scattering (SALS) image processing software and wavelet analysis. The phenomenon of small-angle light scattering has been applied to give information about transparent structures on morphology. Real-time visualization of various scattered light image and light intensity matrices is performed by the optical image real-time processing software for SALS. The software can measure the signal intensity of light scattering images, draw the frequency-intensity curves and the amplitude-intensity curves to indicate the variation of the intensity of scattered light in different processing conditions, and estimate the parameters. The current study utilizes a one-dimensional wavelet to delete noise from the original SALS signal and estimate the variation trend of maximum intensity area of the scattered light. So, the system brought the qualitative analysis of the structural information of transparent film success.
机译:本文通过使用小角度光散射(SALS)图像处理软件和小波分析来描述一种有效的在线聚合物表征技术。小角度光散射现象已被用于提供有关形态透明结构的信息。通过用于SALS的光学图像实时处理软件,可以对各种散射光图像和光强度矩阵进行实时可视化。该软件可以测量光散射图像的信号强度,绘制频率强度曲线和幅度强度曲线,以指示不同处理条件下散射光强度的变化,并估计参数。目前的研究利用一维小波从原始SALS信号中消除噪声,并估计散射光最大强度区域的变化趋势。因此,该系统对透明胶片的结构信息进行了定性分析。

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