Image Search Engine Based on Color Histogram and Zernike Moment
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Image Search Engine Based on Color Histogram and Zernike Moment |
| Type de publication | Conference Paper |
| Year of Publication | 2017 |
| Auteurs | Chifa N, Badri A, Ruichek Y, Sahel A |
| Editor | Sabir E, GarciaArmada A, Ghogho M, Debbah M |
| Conference Name | UBIQUITOUS NETWORKING, UNET 2017 |
| Publisher | Hassan II Univ; ENSEM; FSTM; ESTC; ANRT; CNRST; CN&S; Nat Instruments; MasterTec; SERDILAB; VOCALCOM |
| Conference Location | GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND |
| ISBN Number | 978-3-319-68179-5; 978-3-319-68178-8 |
| Mots-clés | CBIR, HSV histogram, Image block, Zernike moments |
| Résumé | Though numerous approaches were proposed for image recognition, in this paper we proposed implementation of CBIR, using color descriptor combined to the shape features (Zernike moments). A practical and efficient system has been implemented based on image division and extraction color histogram of color from each block, and combined the result vector to the global shape one. We experimented our system on several image bases, and it gave satisfactory results. |
| DOI | 10.1007/978-3-319-68179-5_55 |