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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 : Image processing Image understanding Fuzzy sets Spatial information Structural information Spatial reasoning
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Journal articles
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https://hal-imt.archives-ouvertes.fr/hal-01219806
Contributor : Admin Télécom Paristech Connect in order to contact the contributor
Submitted on : Friday, October 23, 2015 - 12:21:15 PM
Last modification on : Tuesday, October 19, 2021 - 11:15:13 AM

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  • HAL Id : hal-01219806, version 1

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INSTITUT-TELECOM | CNRS | PARISTECH | LTCI | IDS | IMAGES | GDMM

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

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