Olena Zharova

Work place: National Aviation University/Department of Telecommunication and Radioelectronic Systems, Kyiv, 03058, Ukraine

E-mail: olena.zharova@npp.nau.edu.ua

Website: https://orcid.org/0000-0002-4060-850X

Research Interests: Data Structures and Algorithms, Data Compression, Operating Systems, Computer Architecture and Organization, Computer systems and computational processes, Telecommunication, Data Structures


Dr. Olena Zharova is an associate professor at the National Aviation University. Her qualifications are as mentioned Ph.D. (Pedagogics), M.Sc. (Operation of Aircraft Radio Equipment), B.Sc. (Operation of Aircraft Radio Equipment) from the National Aviation University, Kyiv, Ukraine. She has 13 years of teaching experience and her areas of interest include telecommunication and radio systems, data processing and equipment operation. A total number of research publications is 30.

Author Articles
Shadow Image Processing of X-Ray Screening System for Aviation Security

By Maksym Zaliskyi Olga Shcherbyna Lidiia Tereshchenko Alina Osipchuk Olena Zharova

DOI: https://doi.org/10.5815/ijigsp.2022.06.03, Pub. Date: 8 Dec. 2022

The aviation security is an important component of aviation safety providing. One of the main goals of aviation security service is to detect dangerous and prohibited objects during passengers and baggage screening. For this purpose, aviation security personnel use various equipment: X-ray screening system, body-scans, metal detectors, moving ions detectors, explosive trace detectors. The X-ray screening system gives information on internal structure of baggage. The main disadvantage of X-ray screening system is rather high level of the false alarm probability. This requires developing new methods of image processing and recognition of dangerous and prohibited objects on the background of other objects. This article develops the principles of shadow image processing while screening the baggage using X-ray system to fix the mentioned disadvantage. The math equation for shadow image is obtained based on the laws of geometry and Beer-Lambert equation taking into account the chosen scanning technique. Based on this, the article is focused to the analysis of simple objects images and their application for complex objects recognition. The article discusses the example of handgun recognition using a new approach based on spectral analysis of developed shadow images. The results of the research can be used for improvement of algorithmic toolkit in aviation security automatic decision-making system while screening the baggage by X-ray equipment.

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