Greyscale Image Vectorization from Geometric Digital Contour Representations

Abstract : 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.
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Communication dans un congrès
DGCI'17 - 20th International Conference on Discrete Geometry for Computer Imagery, Sep 2017, Vienna, Austria. 34, pp.2379 - 331, 2017, 〈10.1007/978-3-319-66272-5_26〉
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Contributeur : Phuc Ngo <>
Soumis le : samedi 16 septembre 2017 - 15:35:03
Dernière modification le : jeudi 5 juillet 2018 - 14:29:12
Document(s) archivé(s) le : dimanche 17 décembre 2017 - 12:22:14

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Bertrand Kerautret, Phuc Ngo, Yukiko Kenmochi, Antoine Vacavant. Greyscale Image Vectorization from Geometric Digital Contour Representations. DGCI'17 - 20th International Conference on Discrete Geometry for Computer Imagery, Sep 2017, Vienna, Austria. 34, pp.2379 - 331, 2017, 〈10.1007/978-3-319-66272-5_26〉. 〈hal-01588695〉

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