Different local binary operators for texture classification: a comparative study

• Main Authors: Shamaileh, Abeer, Rassem, Taha H., Liew, Siau-Chuin, Al Sayaydeh, Osama Nayel
• Format: Article
• Language: English; English
• Published: The World Academy of Research in Science and Engineering 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/25582/1/Performance%20Evaluation%20of%20Different%20Local%20Binary%20Operators%20%20for%20Texture%20Classification.pdf; http://umpir.ump.edu.my/id/eprint/25582/7/Performance%20Evaluation%20of%20Different%20Local%20Binary%20Operators%20for.pdf; http://umpir.ump.edu.my/id/eprint/25582/; http://doi.org/10.30534/ijatcse/2019/85832019

Local Binary Patterns (LBP) have brightened up as one of the most eminent and widely studied texture descriptors. LBP has gained high acceptance due to its simplicity, high distinguishing power, and flexibility. As such, it has been deployed in several applications where it has performed well. This...