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 originale | English |
|---|---|
| Revue | 2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP) |
| Numéro d’article | 9151715 |
| Pages | 186-192 |
| DOI | 10.1109/ccssp49278.2020.9151715 |
| Statut de publication | Publié — 2020 |