Concept Lattices: a Tool for Primitives Selection? Les Treillis de Galois: un Outil pour la Sélection de Primitives?

Concept Lattices: a Tool for Primitives Selection?

Les Treillis de Galois: un Outil pour la Sélection de Primitives?

Stéphanie Guillas Karell Bertet  Jean-Marc Ogier 

L31 Université de La Rochelle, av M. Crépeau, 17042 La Rochelle Cedex 1, France

19 May 2004
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In this paper,we present the problem of noisy images recognition and in particular the stage of primitives selection in a classification process.This selection stage appears after segmentation and statistical describers extraction on documentary images are realized.We describe precisely the use of decision tree in order to harmonize and compare it with another less studied method based on a concept lattice.


Dans ce papier,nous présentons la problématique de la reconnaissance d'images détériorées et plus particulièrement l'étape de sélection de primitives au sein d'un traitement de classification supervisée. Cette étape de sélection a lieu après que la segmentation et l'extraction des descripteurs statistiques sur des images documentaires aient été réalisées. Nous exposons en détail l'utilisation d'un arbre de décision,afin de l'harmoniser puis la comparer avec une approche moins étudiée utilisant un treillis de Galois.


Symbol recognition,Concept lattice,Decision tree,Noisy images,Statistical describers.

Mots clés

Reconnaissance de symboles,treillis de Galois,arbre de décision,images détériorées, descripteurs statistiques.

1. Introduction
2. Contexte et Classification Supervisée
3. Arbre de Décision
4. Treillis de Galois
5. Expérimentation
6. Conclusion et Perspectives

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