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Journal articles

Linear 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 straight 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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Submitted on : Tuesday, September 26, 2006 - 10:13:44 AM
Last modification on : Friday, February 4, 2022 - 3:30:13 AM


  • HAL Id : inria-00100056, version 1



Isabelle Debled-Rennesson, Jean-Luc Rémy, Jocelyne Rouyer-Degli. Linear Segmentation of Discrete Curves into Fuzzy Segments. Discrete Applied Mathematics, Elsevier, 2004, 18 p. ⟨inria-00100056⟩



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