Formation of a typical form of an object image in a series of digital frames

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.266988

Keywords:

transfer function, OLS-evaluation of parameters, linear correlation coefficients, typical image form

Abstract

A computational method for the automated formation of a typical form of a digital image of the investigated objects on a series of digital frames has been developed. Due to the imperfection of the mounting of digital cameras, as well as their automated mounts, their immobility at shooting during exposure time can be disturbed, which leads to the formation of "blurred" images of objects of various forms.

Due to such inaccuracies in the tracking of objects on digital frames, even in one series, the typical form of the image of objects can vary from frame to frame. This fact of the difference in the standard form significantly complicates the execution of various image processing tasks.

In order to simplify the evaluation of the image parameters of objects in a series of digital frames, it has been proposed to use a typical image on a digital frame corresponding to the average image of objects as a model of object images. In this case, the appearance of the image of the object, its form, the distribution of brightness in the image will be determined only by the typical image.

This paper proposes a computational method for the automated formation and evaluation of the typical form of the image of an object in a digital frame based on the initial data – the actual given digital frame. This computational method is based on the selection of single images of objects and the formation of their rectangular area. Next, the offset is evaluated, and the selected single images of objects are normalized to calculate the typical form of the object image.

Using the method makes it possible to highlight objects against the background of noise and reduce the number of false detections. It is recommended to apply the method only in the case when the frames have defects and "blurs" during the shooting, otherwise there will be unreasonable additional computational costs.

The developed computational method was successfully tested in practice within the framework of the CoLiTec project and implemented in the intraframe processing unit of the Lemur software.

Author Biographies

Vadym Savanevych, Kharkiv National University of Radio Electronics

Doctor of Technical Sciences, Professor

Department of Systems Engineering

Sergii Khlamov, SoftServe

PhD, Test Automation Lead

Vladimir Vlasenko, National Space Facilities Control and Test Center

PhD

Space Research and Communications Center

Zhanna Deineko, Kharkiv National University of Radio Electronics

PhD, Associate Professor

Department of Media Systems and Technologies

Oleksandr Briukhovetskyi, National Space Facilities Control and Test Center

PhD

Western Center of Radiotechnical Surveillance

Iryna Tabakova, Kharkiv National University of Radio Electronics

PhD, Associate Professor

Department of Media Systems and Technologies

Tetiana Trunova, Kharkiv National University of Radio Electronics

Engineer

Department of Media Systems and Technologies

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Formation of a typical form of an object image in a series of digital frames

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Published

2022-12-30

How to Cite

Savanevych, V., Khlamov, S., Vlasenko, V., Deineko, Z., Briukhovetskyi, O., Tabakova, I., & Trunova, T. (2022). Formation of a typical form of an object image in a series of digital frames . Eastern-European Journal of Enterprise Technologies, 6(2 (120), 51–59. https://doi.org/10.15587/1729-4061.2022.266988