A new feature-based wavelet completed local ternary pattern (Feat-WCLTP) for texture image classification

• Main Authors: Shamaileh, Abeer, Rassem, Taha H., Siau Chuin, Liew, Al Sayaydeh, Osama Nayel
• Format: Article
• Language: English; English
• Published: IEEE 2020
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/28453/1/A%20New%20Feature-Based%20Wavelet%20Completed.pdf; http://umpir.ump.edu.my/id/eprint/28453/2/A%20New%20Feature-Based%20Wavelet%20Completed%20Local%20Ternary%20Pattern.pdf; http://umpir.ump.edu.my/id/eprint/28453/; https://doi.org/10.1109/ACCESS.2020.2972151; https://doi.org/10.1109/ACCESS.2020.2972151

LBP is one of the simplest yet most powerful feature extraction descriptors. Many descriptors based on LBP have been proposed to improve its performance. Completed Local Ternary Pattern (CLTP) is one of the important LBP variants that was proposed to overcome LBP's drawbacks. However, despite t...