Devising an image processing method for transport infrastructure monitoring systems

Authors

  • Oleksandr Volkov International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences (NAS) of Ukraine and Ministry of Education and Science (MES) of Ukraine, Ukraine https://orcid.org/0000-0002-5418-6723
  • Mykola Komar International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences (NAS) of Ukraine and Ministry of Education and Science (MES) of Ukraine, Ukraine https://orcid.org/0000-0001-9194-2850
  • Dmytro Volosheniuk International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences (NAS) of Ukraine and Ministry of Education and Science (MES) of Ukraine, Ukraine https://orcid.org/0000-0003-3793-7801

DOI:

https://doi.org/10.15587/1729-4061.2021.239084

Keywords:

computer vision, contour detection, filtration, Sobel operator, Hough transform, Laplace operator

Abstract

Identifying and categorizing contours in images is important in many areas of computer vision. Examples include such operational tasks solved by using unmanned aerial vehicles as dynamic monitoring of the condition of transport infrastructure, in particular road markings.

This study has established that current methods of image contour analysis do not produce clear and reliable results when solving the task of monitoring the state of road markings. Therefore, it is a relevant scientific and applied task to improve the methods and models of filtration, processing of binary images, and qualitative and meaningful separation of the boundaries of objects of interest.

To solve the task of highlighting road marking contours on images acquired from an unmanned aerial vehicle, a method has been devised that includes an operational tool for image preprocessing – a combined filter. The method has several advantages and eliminates the limitations of known methods in determining the boundaries of the location of the object of interest, by highlighting the contours of a cluster of points using histograms.

The method and procedures reported here make it possible to successfully solve problems that are largely similar to those that an expert person can face when solving intelligent tasks of processing and filtering information.

The proposed method was verified at an enterprise producing the Ukrainian unmanned aerial vehicle "Spectator" during tests of information technology of dynamic monitoring of the state of transport infrastructure.

The results could be implemented in promising intelligent control systems in the field of modeling human conscious behavior when sorting data required for the perception of environmental features

Author Biographies

Oleksandr Volkov, International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences (NAS) of Ukraine and Ministry of Education and Science (MES) of Ukraine

PhD, Head of Department

Department of Intellectual Control

Mykola Komar, International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences (NAS) of Ukraine and Ministry of Education and Science (MES) of Ukraine

PhD, Senior Researcher

Department of Intellectual Control

Dmytro Volosheniuk, International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences (NAS) of Ukraine and Ministry of Education and Science (MES) of Ukraine

Researcher

Department of Intellectual Control

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Published

2021-08-31

How to Cite

Volkov, O., Komar, M., & Volosheniuk, D. (2021). Devising an image processing method for transport infrastructure monitoring systems. Eastern-European Journal of Enterprise Technologies, 4(2(112), 18–25. https://doi.org/10.15587/1729-4061.2021.239084

Issue

Vol. 4 No. 2(112) (2021): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2021 Oleksandr Volkov, Mykola Komar, Dmytro Volosheniuk

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