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

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

Nowadays, texture image descriptors are used in many important real-life applications. The use of texture analysis in texture and medical image classification has attracted considerable attention. Local Binary Patterns (LBP) is one of the simplest yet eff ective texture descriptors. But it has some...

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Bibliographic Details
Main Author: Shamaileh, Abeer Moh'd Salem
Format: Thesis
Language:English
Published: 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/32507/
http://umpir.ump.edu.my/id/eprint/32507/1/A%20new%20feature-based%20wavelet%20completed%20local%20ternary%20pattern%20%28FEAT-WCLTP%29%20for%20texture%20and%20medical%20image%20classification.wm.pdf

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