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Université Echahid Hamma Lakhdar d’El OuedPortail de la recherche
Communication

High-level image representation-based on Gestalt theory for image classification

Aiouez Bouzar Sabrina✉, Souami Feryel, Belattar Khadidja

Résumé

Feature extraction and representation are crucial stages for image classification. However, the derived features might not be robust discriminators, which radically alter image classification results. In this paper, we present an enhanced Bag of visual Words representation for better image classification. We are inspired by the Gestalt laws of grouping. So, our design goals are: (1) Introduce the ...

Détails

Langue originaleEnglish
Revue2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP)
Numéro d’article9151715
Pages186-192
DOI10.1109/ccssp49278.2020.9151715
Statut de publicationPublié — 2020