Research Questions on Silica Melting Based on Image Analysis

Autor: Jiabao Guo, Peng Dai, Yifei He, Wei Ji, Rujin Li, Rongjiang Zhou, Yunsong Gu, Shujie Chen
Rok vydání: 2020
Předmět:
Zdroj: 2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS).
DOI: 10.1109/tocs50858.2020.9339740
Popis: 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.
Databáze: OpenAIRE