Rotation-Invariant Approach Using Mask to Content-Based Image Retrieval
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Rotation-Invariant Approach Using Mask to Content-Based Image Retrieval |
| Type de publication | Conference Paper |
| Year of Publication | 2019 |
| Auteurs | Chifa N., Badri A., Ruichek Y. |
| Conference Name | PROCEEDINGS OF THE 2019 5TH INTERNATIONAL CONFERENCE ON COMPUTER AND TECHNOLOGY APPLICATIONS (ICCTA 2019) |
| Publisher | Gazi Univ |
| Conference Location | 1515 BROADWAY, NEW YORK, NY 10036-9998 USA |
| ISBN Number | 978-1-4503-7181-0 |
| Mots-clés | circular mask, Color descriptor, Content-based image retrieval, LBP, Rotation-invariant |
| 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. |
| DOI | 10.1145/3323933.3324066 |