Blurred Segments in Gray Level Images for Interactive Line Extraction

Bertrand Kerautret 1 Philippe Even 1
1 ADAGIO - Applying Discrete Algorithms to Genomics and Imagery
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Abstract. The recognition of discrete straight segments is a significant topic in the field of discrete geometry and for many applications dealing with geometric feature extraction. It can be performed from noisy binary data using the concept of blurred segments [3,2]. However, to our best knowledge, these algorithms have never been defined to directly extract straight segments in gray level images. This article proposes a solution to extend the recognition by using gray level image information. Although initially intended to be implemented within a semi-automatic line selec- tion tool used in an interactive 3D modeling application, it also meets more general parameter extraction requirements.
Type de document :
Communication dans un congrès
P. Wiederhold and R.P. Barneva. 13th international Workshop on Combinatorial Image Analysis - IWCIA 2009, Nov 2009, Playa del carmen, Mexico. Springer, 5852, pp.176--186, 2009, Lecture Notes in Computer Science. 〈10.1007/978-3-642-10210-3_14〉
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https://hal.inria.fr/inria-00437579
Contributeur : Bertrand Kerautret <>
Soumis le : lundi 30 novembre 2009 - 23:31:14
Dernière modification le : mardi 24 avril 2018 - 13:01:51

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Bertrand Kerautret, Philippe Even. Blurred Segments in Gray Level Images for Interactive Line Extraction. P. Wiederhold and R.P. Barneva. 13th international Workshop on Combinatorial Image Analysis - IWCIA 2009, Nov 2009, Playa del carmen, Mexico. Springer, 5852, pp.176--186, 2009, Lecture Notes in Computer Science. 〈10.1007/978-3-642-10210-3_14〉. 〈inria-00437579〉

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