Lidiia Tereshchenko

Work place: National Aviation University/Department of Software Engineering, Kyiv, 03058, Ukraine



Research Interests: Information Systems, Image Processing, Systems Architecture, Signal Processing, Graph and Image Processing, Computational Engineering, Mathematical Software, Engineering


Dr. Lidiia Tereshchenko is an associate professor at the National Aviation University. Her qualifications are as mentioned Ph.D. (Radio Engineering Devices and Television Systems), M.Sc. (Radio Engineering), B.Sc. (Radio Engineering) from the Kyiv International University of Civil Aviation, Kyiv, Ukraine. She has 17 years of teaching experience and her areas of interest include image processing, radio engineering systems, signal processing, intelligent systems and mathematical modeling. A total number of research publications is 39.

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:, 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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