Research Questions on Silica Melting Based on Image Analysis

Peng Dai, Yunsong Gu, Rongjiang Zhou, Jiabao Guo, Rujin Li, Yifei He, Wei Ji, Shujie Chen
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Abstract

This paper makes a perfect and reasonable explanation and solution to the highly researchable problems under the melting of silica, and uses the methods of image matching, moving state target tracking, gray and binary methods to construct multiple linear regression. Equations, feature image matching models, background difference models, etc., are comprehensively solved using software such as MATLAB, and it is found that the silica particle coordinates and particle motion trajectories, generalized radius and area can represent changes in the silica melting process the conclusion of the melting rate of silicon oxide is finally combined with the model to verify the reliability of the conclusion.
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基于图像分析的二氧化硅熔融研究问题
本文对二氧化硅熔融下亟待研究的问题进行了完善合理的解释和解决,并采用图像匹配、运动状态目标跟踪、灰度和二值方法构建多元线性回归。利用MATLAB等软件对方程、特征图像匹配模型、背景差分模型等进行了综合求解,发现二氧化硅粒子坐标和粒子运动轨迹、广义半径和面积可以代表二氧化硅熔化过程中的变化,最后将氧化硅熔化速率的结论与模型结合,验证了结论的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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