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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
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https://hal.inria.fr/inria-00099392
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Submitted on : Tuesday, September 26, 2006 - 8:53:39 AM
Last modification on : Friday, February 4, 2022 - 3:22:17 AM

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  • HAL Id : inria-00099392, version 1

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INRIA | CNRS | LORIA | UNIV-LORRAINE | INRIA2

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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⟩

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