Stable and Robust Vectorization: How to Make the Right Choices

Karl Tombre 1 Christian Ah-Soon 1 Philippe Dosch 1 Gérald Masini 1 Salvatore Tabbone 1
1 ISA - Models, algorithms and geometry for computer graphics and vision
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : As a complement to quantitative evaluation methods for raster--to--graphics conversion, we discuss in this paper some qualitative elements which should be taken into account when choosing the different steps of one's vectorization method. We stress the importance of having robust methods and stable implementations, and we base ourselves extensively on our own implementations and tests, concentrating on methods designed to have few, if any, parameters.
Mots-clés : reconnaissance de graphiques vectorization graphics recognition vectorisation
Type de document :
Chapitre d'ouvrage
A. K. Chhabra & D. Dori. Third International Workshop on Graphics Recognition - GREC'99, Springer Verlag, pp.3-19, 2000, Lecture Notes in Computer Science
Liste complète des métadonnées
https://hal.inria.fr/inria-00099392
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 08:53:39
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

Identifiants

  • HAL Id : inria-00099392, version 1

Collections

INRIA | LORIA | UNIV-LORRAINE

Citation

Karl Tombre, Christian Ah-Soon, Philippe Dosch, Gérald Masini, Salvatore Tabbone. Stable and Robust Vectorization: How to Make the Right Choices. A. K. Chhabra & D. Dori. Third International Workshop on Graphics Recognition - GREC'99, Springer Verlag, pp.3-19, 2000, Lecture Notes in Computer Science. 〈inria-00099392〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

139

Contact


archive-ouverte@inria.fr