Article 4217

Title of the article

SPECKLE PICTURE ANALYSIS TO DEVELOP AN ALGORITHM OF AUTOMATIC
OPTICAL SYSTEM ADJUSTMENT

Authors

Artamonov Dmitriy Vladimirovich, Doctor of engineering sciences, professor, sub-department of autonomous information and control systems, Penza State University (40 Krasnaya street, Penza, Russia), aius@pnzgu.ru
Semenov Anatoliy Dmitrievich, Doctor of engineering sciences, professor, sub-department of automation and remote control, Penza State University (40 Krasnaya street, Penza, Russia), sad-50@mail.ru
Kostyunin Aleksandr Vasil'evich, Сandidate of pedagogical sciences, professor, sub-department of general physics and methods of teaching physics, Penza State University (40 Krasnaya street, Penza, Russia), kostjunin@mail.ru
Kupriyanov Il'ya Vital'evich, Postgraduate student, Penza State, University (40 Krasnaya street, Penza, Russia), kup-92@yandex.ru

Index UDK

681.784

DOI

10.21685/2072-3059-2017-2-4

Abstract

Background. The research objects are optical systems based on speckle interferometry. The research subject is a speckle picture – a dynamic grain structure formed in optical systems based on speckle interferometry. The aim of the article is to reveal algorithms applicable for analyzing various types of speckle picture with the purpose of optical system tuning.
Materials and methods. The research was carried out using the laboratory equipment designed for generation of various types of speckle picture. The authors used methods of cross-correlation analysis, flow visualization and granulometry.
Results. The researchers have developed algorithms to analyze speckle picture motion at various types of the picture. They have revealed a possibility of analyzing speckle picture dynamics by using cross-correlation algorithms, the combination of which with flow visualization allows to determine a pattern of speckle motion in various parts of an analyzed area. A granulemetric analysis of speckle point intensity is capable of identifying optimal tuning parameters for optical systems.

Key words

speckle interferometry, speckle pattern, optical system, crosscorrelation algorithm, flow visualization method, granulometry

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References

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Дата создания: 07.11.2017 10:41
Дата обновления: 07.11.2017 14:19