[IPOL announce] new article: Binary Shape Vectorization by Affine Scale-space

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2023/401/

Yuchen He, Sung Ha Kang, and Jean-Michel Morel,
Binary Shape Vectorization by Affine Scale-space,
Image Processing On Line, 13 (2023), pp. 22–37.
https://doi.org/10.5201/ipol.2023.401

Abstract
Binary shapes, or silhouettes, are building elements of logos, graphic 
symbols and fonts， which require various forms of geometric editing 
without compromising the resolution. In this paper, we present an 
effective silhouette vectorization algorithm that extracts the outline 
of a 2D shape from a raster binary image and converts it to a 
combination of cubic Bézier polygons and perfect circles. Compared to 
state-of-the-art image vectorization software, this algorithm has 
demonstrated a superior reduction in the number of control points while 
maintaining high accuracy.