Feature selection and mapping of local binary pattern for texture classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13470-2.pdf
Reference92 articles.
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3. Arof H, Deravi F (1998) Circular neighborhood and 1-DDFT features for texture classification and segmentation. IEEE Proceedings Vision, Image, and Signal Processing 145(3):167–172
4. Bianconi F, Fernández A (2011) On the occurrence probability of local binary patterns: a theoretical study. Journal of Mathematical Imaging and Vision 40(3):259–268
5. Campisi P, Neri A, Panci C, Scarano G (2004) Robust rotation-invariant texture classification using a model based approach. IEEE Trans Image Process 13(6):782–791
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