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Segmentation of Discrete Curves into Fuzzy Segments

Isabelle Debled-Rennesson 1 Jean-Luc Rémy 1 Jocelyne Rouyer-Degli 1
1 ADAGE - Applying discrete algorithms to genomics
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : A new concept, fuzzy segments, is introduced which allows for flexible segmentation of discrete curves, so taking into account some noise in them. Relying on an arithmetic approach of discrete lines, it generalizes them, admitting that some points are missing. Thus, a larger class of objects is considered. A very efficient detection algorithm for fuzzy segments and its application to curve segmentation are presented.
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Contributor : Rapport de Recherche Inria <>
Submitted on : Tuesday, May 23, 2006 - 6:05:22 PM
Last modification on : Friday, February 26, 2021 - 3:28:02 PM
Long-term archiving on: : Sunday, April 4, 2010 - 10:27:14 PM


  • HAL Id : inria-00071589, version 1



Isabelle Debled-Rennesson, Jean-Luc Rémy, Jocelyne Rouyer-Degli. Segmentation of Discrete Curves into Fuzzy Segments. [Research Report] RR-4989, INRIA. 2003, pp.17. ⟨inria-00071589⟩



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