Different local binary operators for texture classification: a comparative study
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...
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Main Authors: | Shamaileh, Abeer, Rassem, Taha H., Liew, Siau-Chuin, Al Sayaydeh, Osama Nayel |
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Format: | Article |
Language: | English English |
Published: |
The World Academy of Research in Science and Engineering
2019
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Subjects: | |
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 |
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