Accéder directement au contenu Accéder directement à la navigation
Communication dans un congrès

Rotation-Invariant Approach Using Mask to Content-Based Image Retrieval

Abstract : This paper presents an efficient method for the implementation of an image search system invariant to rotation. This method consists of applying circular masks of different size on the image, and extracting the color descriptor from the visible region on the mask, and then combining a texture descriptor for more precision. In our work, we have used the color histogram and histogram of local binary patterns. The experimentation of this approach gave excellent results for color rotation-invariant image retrieval.
Type de document :
Communication dans un congrès
Liste complète des métadonnées
Contributeur : Ciad - Université de Bourgogne <>
Soumis le : mardi 29 octobre 2019 - 17:45:55
Dernière modification le : mercredi 30 octobre 2019 - 01:10:16



N. Chifa, A. Badri, Y. Ruichek. Rotation-Invariant Approach Using Mask to Content-Based Image Retrieval. 5th International Conference on Computer and Technology Applications (ICCTA), Gazi University, Apr 2019, Istanbul, Turkey. pp.11-14, ⟨10.1145/3323933.3324066⟩. ⟨hal-02338048⟩



Consultations de la notice