Development of the matched filtration of a blurred digital image using its typical form

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.273674

Keywords:

image processing, blurred image, matched filter, transfer function, OLS-evaluation of parameters

Abstract

The appearance of "blurred" digital images is a consequence of the violation of the immobility of the camera during the shooting of the objects under study. To this end, a procedure was devised for matched filtering of the blurred digital image of the object using its typical image form in a series of frames.

This procedure is based on the automated formation of a typical form of a digital image, as well as on the choice of special parameters for the transfer function of the matched filter. Adapting the procedure specifically to the typical form makes it possible to perform a more accurate assessment of the required parameters of the blurred digital image compared to the analytically set profile.

The formation of a typical form makes it possible to take into account the features of the very formation of the blurred image on each frame of the original series. Based on this, a more accurate assessment of the initial approximation of the parameters of all Gaussians of the object image is performed. In practice, matched filtering makes it possible to highlight blurred images of objects against the background of substrate noise. Also, using the matched filtering procedure makes it possible to improve the segmentation of images of reference objects and reduce the number of false detections.

The devised procedure for the matched filtering of a blurred digital image using its typical form has been tested in practice as part of the research in the framework of the CoLiTec project. It was implemented in the intraframe processing unit of the Lemur software for the automated detection of new and tracking of known objects. Owing to the use of Lemur software and the proposed computational procedure introduced into it, more than 700,000 measurements of various objects under study were successfully processed and identified

Author Biographies

Sergii Khlamov, SoftServe

PhD, Test Automation Lead

Vadym Savanevych, Kharkiv National University of Radio Electronics

Doctor of Technical Sciences, Professor

Department of Systems Engineering

Vladimir Vlasenko, National Space Facilities Control and Test Center

PhD

Space Research and Communications Center

Oleksandr Briukhovetskyi, National Space Facilities Control and Test Center

PhD

Western Center of Radiotechnical Surveillance

Tetiana Trunova, Kharkiv National University of Radio Electronics

Engineer, Assistant

Department of Media Systems and Technologies

Ihor Levykin, Kharkiv National University of Radio Electronics

Doctor of Technical Sciences

Department of Media Systems and Technologies

Viktoriia Shvedun, National University of Civil Defence of Ukraine

Doctor of Science in Public Administration, Professor, Head of Scientific Department

Scientific Department of Management Problems in the Field of Civil Protection

Iryna Tabakova, Kharkiv National University of Radio Electronics

PhD, Associate Professor

Department of Media Systems and Technologies

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Development of the matched filtration of a blurred digital image using its typical form

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Published

2023-02-28

How to Cite

Khlamov, S., Savanevych, V., Vlasenko, V., Briukhovetskyi, O., Trunova, T., Levykin, I., Shvedun, V., & Tabakova, I. (2023). Development of the matched filtration of a blurred digital image using its typical form. Eastern-European Journal of Enterprise Technologies, 1(9 (121), 62–71. https://doi.org/10.15587/1729-4061.2023.273674

Issue

Vol. 1 No. 9 (121) (2023): Information and controlling system

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Information and controlling system

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Copyright (c) 2023 Sergii Khlamov, Vadym Savanevych, Vladimir Vlasenko, Oleksandr Briukhovetskyi, Tetiana Trunova, Ihor Levykin, Viktoriia Shvedun, Iryna Tabakova

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