Fuzzy Sets for Image Processing and Understanding

Isabelle Bloch 1, 2
1 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse
LTCI - Laboratoire Traitement et Communication de l'Information
2 TSI - Département Traitement du Signal et des Images
Abstract :

This paper proposes a short overview of models and methods based on fuzzy sets for image processing and image understanding, from low level to higher level interpretation. Recent trends are highlighted.

Keywords : Spatial reasoning Structural information Spatial information Fuzzy sets Image understanding Image processing
Document type :
Journal articles
Complete list of metadatas
https://hal-imt.archives-ouvertes.fr/hal-01219806
Contributor : Admin Télécom Paristech <>
Submitted on : Friday, October 23, 2015 - 12:21:15 PM
Last modification on : Thursday, October 17, 2019 - 12:37:00 PM

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  • HAL Id : hal-01219806, version 1

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INSTITUT-TELECOM | CNRS | PARISTECH | UNIV-PARIS-SACLAY | LTCI | IDS | IMAGES

Citation

Isabelle Bloch. Fuzzy Sets for Image Processing and Understanding. Fuzzy Sets and Systems, 2015, 281, pp.280-291. ⟨hal-01219806⟩

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