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Information-statistical approach to inverse optical problem solution for 3D disperse systems with nano- and micro particles

https://doi.org/10.35596/1729-7648-2021-19-8-31-34

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Аннотация

Multiparameter analysis of simultaneous optical data for 3D disperse systems (consisted from nano- and/or microparticles of different nature) by information-statistical methods can help to estimate the share of different types of particles in mixtures. At the solution of inverse optical problem for unknown poly-component 3D DS, the comparison of measured parameters with the known ones from the set of mono-component 3D DS can help to identify the component content of the system under study. The approach was tested on the biomineral water mixtures of kaolin clay and bacterium coli bacillus with the help of the program based on the information-statistical theory. To solve the impurity optical recognition tasks, the Base of optical data for 3D DS is needed.

Об авторах

А. G. Bezrukova
Peter the Great St. Petersburg Polytechnical University
Россия


O. L. Vlasova
Peter the Great St. Petersburg Polytechnical University
Россия


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Рецензия

Для цитирования:


Bezrukova А.G., Vlasova O.L. Information-statistical approach to inverse optical problem solution for 3D disperse systems with nano- and micro particles. Доклады БГУИР. 2021;19(8):31-34. https://doi.org/10.35596/1729-7648-2021-19-8-31-34

For citation:


Bezrukova A.G., Vlasova O.L. Information-statistical approach to inverse optical problem solution for 3D disperse systems with nano- and micro particles. Doklady BGUIR. 2021;19(8):31-34. https://doi.org/10.35596/1729-7648-2021-19-8-31-34

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ISSN 1729-7648 (Print)
ISSN 2708-0382 (Online)