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- Title
ETLBP and ERDLBP descriptors for efficient facial image retrieval in CBIR systems.
- Authors
Arora, Nitin; Sharma, Subhash Chander
- Abstract
The traditional Local Binary Pattern (LBP) employs a 3x3 pixel window and examines the intensity differences between the center pixel and nearby neighbourhood pixels. However, LBP excludes the magnitude of difference information entirely, which highly enhances the discriminative performance between classes. In this work, we propose two new feature descriptors called Extended Transition-LBP (ETLBP) and Extended Radial Difference-LBP (ERDLBP) that include the mean of the magnitude difference of each neighbourhood pixel from the central pixel. The robustness of the proposed descriptors is investigated on four publicly available facial databases. The study has established the effectiveness of the feature descriptors. The experimental findings show that the suggested methods statistically outperformed the existing state-of-the-art methods.
- Subjects
IMAGE retrieval; DESCRIPTOR systems; HUMAN facial recognition software; PIXELS; NEIGHBORHOODS
- Publication
Multimedia Tools & Applications, 2024, Vol 83, Issue 4, p9817
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-023-15832-w