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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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https://hal.inria.fr/hal-01588695
Contributor : Phuc Ngo <>
Submitted on : Saturday, September 16, 2017 - 3:35:03 PM
Last modification on : Wednesday, February 26, 2020 - 7:06:07 PM
Document(s) archivé(s) le : Sunday, December 17, 2017 - 12:22:14 PM

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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. pp.2379 - 331, ⟨10.1007/978-3-319-66272-5_26⟩. ⟨hal-01588695⟩

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