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Communication Dans Un Congrès Année : 2019

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

Résumé

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.
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Dates et versions

hal-02338048 , version 1 (29-10-2019)

Identifiants

Citer

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⟩
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