Greyscale Image Vectorization from Geometric Digital Contour Representations
Résumé
In the field of digital geometry, numerous advances have been recently made to efficiently represent a simple polygonal shape; from dominant points of a curvature-based representation, a binary shape is efficiently represented even in presence of noise. In this article, we exploit recent results of such digital contour representations and propose an image vectorization algorithm allowing a geometric quality control. All the results presented in this paper can also be reproduced online.
Domaines
Informatique| Origine | Fichiers produits par l'(les) auteur(s) |
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