Vectorization in Graphics Recognition: To Thin or not to Thin

Karl Tombre 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 : Vectorization, i.e. raster-to-vector conversion, is a central part of graphics recognition problems. In this paper, we discuss the pros and the cons of basing one's vectorization process on skeletonization. While distance skeletons have proven to be robust and precise, they tend to distort the results at line extremities and junctions. In these cases, contour-matching approaches yield better results, but they have their own specific problems. A perspective is probably to combine the best of both methods.
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Communication dans un congrès
15th International Conference on Pattern Recognition, 2000, Barcelona, Spain, 2, pp.91-96, 2000
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https://hal.inria.fr/inria-00099349
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 08:53:11
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00099349, version 1

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Karl Tombre, Salvatore Tabbone. Vectorization in Graphics Recognition: To Thin or not to Thin. 15th International Conference on Pattern Recognition, 2000, Barcelona, Spain, 2, pp.91-96, 2000. 〈inria-00099349〉

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