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Algorithmization of image processing for identification of dynamic objects

2022, vol.14 , no.3, pp. 47-58

Article [2022-03-05]

Authors
O. Ja. Kravets
I. A. Aksenov
P. A. Rahman
Yu. V. Redkin
I. V. Atlasov
O. Yu. Zaslavskaya
Abstract

Modern monitoring and operational decision-making systems based on image series have become widely used for a wide variety of applications. At the stage of identification of graphic images, the affiliation of the found dynamic object to the class of objects of interest is established on the basis of a comparative analysis of its contours with a given template. The identification process is considered and the algorithm of machine graphics is given, including, firstly, image preprocessing using the Gauss smoothing operator, secondly, the search for object boundaries using the Kenny operator, thirdly, image post-processing for interpolation of the obtained discontinuous contours of the object using mathematical morphology operations and local processing of a set of contours.

Keywords

motion vectors, image series, fast processing, analytical solution, machine graphics

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Citation of this article:

O. Ja. Kravets, I. A. Aksenov, P. A. Rahman, Yu. V. Redkin, I. V. Atlasov, O. Yu. Zaslavskaya. Algorithmization of image processing for identification of dynamic objects. International Journal on Information Technologies and Security, vol.14 , no.3, 2022, pp. 47-58.