Different local binary operators for texture classification: a comparative study

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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Bibliographic Details
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/
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

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