Performance Evaluation of Different Local Binary Operators for Texture Classification

• Main Authors: Shamaileh, Abeer, Rassem, Taha H., Liew, Siau-Chuin, Al Sayaydeh, Osama Nayel
• Format: Article
• Language: English
• Published: The Science and Information (SAI) Organization Limited 2019
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/24773/1/Performance%20Evaluation%20of%20Different%20Local%20Binary%20Operators%20%20for%20Texture%20Classification.pdf; http://umpir.ump.edu.my/id/eprint/24773/; https://thesai.org/Publications/IJACSA
• Institution: Universiti Malaysia Pahang

Local Binary Patterns (LBP) have brightened up as one of the most eminent and widely studied texture descriptors. The LBP descriptor 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 perfo...