METHODS AND ALGORITHMS FOR VECTORIZATION OF RASTER IMAGES

Shaxislam Joldasov; Saida Beknazarova

doi:10.17605/OSF.IO/VREZQ

Authors

Shaxislam Joldasov Tashkent University of Information Technologies named after Muhammad Al- Khwarizmi, Tashkent, Uzbekistan
Saida Beknazarova Tashkent University of Information Technologies named after Muhammad Al- Khwarizmi, Tashkent, Uzbekistan

DOI:

https://doi.org/10.17605/OSF.IO/VREZQ

Abstract

Technologies for converting graphic documents obtained by digitizing traditional sources – paper media into vector form are currently in high demand. A vector shape is understood as a data model (structure), which is an ordered set of layers of objects that are modeled by points, polylines or polygons located on a plane or sphere with a given coordinate system. This is due to the development of computer-aided design systems that are able to interpret the vector format, as well as the significant advantages of the vector form compared to the raster representation: ease of manipulation and management, the need for less memory, etc. The process of converting images from raster to vector form is called vectorization

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References

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