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Loic Mazo

The world, obviously discrete, is very well described by the continuous models. Nevertheless, as the computing power increases, the interest of an intrinsically discrete modeling becomes more and more obvious.
My research in topology and geometry is part of this quest for the representation in integers of phenomena that have been described continuously.

Nicolas Passat   

Journal articles6 documents

Conference papers5 documents

  • Carlos Tor-Díez, Sylvain Faisan, Loïc Mazo, Nathalie Bednarek, Hélène Meunier, et al.. Multilabel, multiscale topological transformation for cerebral MRI segmentation post-processing. International Symposium on Mathematical Morphology (ISMM), 2019, Saarbrücken, Germany. pp.471-482, ⟨10.1007/978-3-030-20867-7_36⟩. ⟨hal-01982972⟩
  • Loïc Mazo, Nicolas Passat, Michel Couprie, Christian Ronse. A unified topological framework for digital imaging. Discrete Geometry for Computer Imagery (DGCI), 2011, Nancy, France. pp.163-174, ⟨10.1007/978-3-642-19867-0_14⟩. ⟨hal-00728915⟩
  • Nicolas Passat, Michel Couprie, Loïc Mazo, Gilles Bertrand. Topology-preserving thinning in 2-D pseudomanifolds. Discrete Geometry for Computer Imagery (DGCI), 2009, Lyon, France. pp.217-228, ⟨10.1007/978-3-642-04397-0_19⟩. ⟨hal-00622408⟩
  • Nicolas Passat, Michel Couprie, Loïc Mazo, Gilles Bertrand. Minimal simple sets: A new concept for topology-preserving transformations. Computational Topology in Image Context (CTIC), 2008, Poitiers, France. ⟨hal-01694895⟩
  • Nicolas Passat, Michel Couprie, Gilles Bertrand, Loïc Mazo. Des grumeaux dans la topologie : une introduction à la notion d'ensemble simple. Journées du Groupe de Travail en Géométrie Discrète (GT GeoDis), 2007, Saint-Dié-des-Vosges, France. ⟨hal-01694892⟩