ALGORITHMS AND ARCHITECTURE APPLIED IN THE RASTER2VECTOR SOFTWARE

Authors

  • Joldasov Shaxislam Batirovich Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Author

Keywords:

Raster2Vector, vectorization, raster graphics, vector graphics, edge detection, image processing, algorithm, software architecture, Bézier curves, graphic data.

Abstract

This article examines the operating principles of the Raster2Vector software, focusing on the algorithms and software architecture employed in the vectorization process. The study discusses image processing techniques used to convert raster graphics into vector formats, including edge detection, contour tracing, and the generation of vector objects using geometric primitives. Furthermore, the interaction between software modules, data flow mechanisms, and architectural efficiency are analyzed. The results demonstrate the capability of Raster2Vector to perform high-precision vectorization and highlight its advantages in graphic data processing applications.

References

1. Туляганов Ш.Э. Разработка эффективных алгоритмов классификации объектов на основе комитетных решений: Автореф. дисс. ... канд. техн. наук. – Ташкент, 2012.

2. Beknazarova S.S., Joldasov Sh.B. Methods and algorithms for vectorization of raster images. J.: International engineering journal for research & development. VOL. 7 NO. ICMEI (2022). India-2022. - P.1-2

3. Beknazarova S.S., Joldasov Sh.B. Algorithm of generalization based on the minimum quadrates method. The American Journal of Engineering and Technology. ISSN 2689-0984, Volume 08 – 2026. -P.126-130

4. Chen D., Daescu O. Space-Efficient Algorithms for Approximating Polygonal Curves in Two-Dimensional Space [Электронный ресурс]: поисковая база данных CiteSeer. – режим доступа: http://citeseer.ist.psu.edu/chen98spaceefficient.html, свободный.

5. Chen X., Gao W. Visual Pattern Recognition and Object Detection in Video Systems // IEEE Transactions on Circuits and Systems for Video Technology. – 2006. – Vol. 16, No. 9. – P. 1114-1123.

Downloads

Published

2026-06-25