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International Journal of System Signal Control and Engineering Application

ISSN: Online
ISSN: Print 1997-5422
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Performance Analysis of Local Binary Patterns in Texture Classification

Ch. Sudha Sree and M.V.P. Chandra Sekhara Rao
Page: 74-84 | Received 21 Sep 2022, Published online: 21 Sep 2022

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https://doi.org/10.36478/ijssceapp.2019.74.84

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Abstract

This study presents a detailed comparative study on various Local Binary Pattern (LBP) variant texture descriptors in texture classification. The work includes nine various texture descriptor methods namely LBPriu2, LBPri, LTP, VAR, LBP/VAR, CLBP, CLBC, AECLBP, AELTP. The performance of these methods is evaluated basing on three well-known benchmark texture databases OUTEX, CUReT, UIUC, using the nearestneighbourhood classifier.

How to cite this article:

Ch. Sudha Sree and M.V.P. Chandra Sekhara Rao. Performance Analysis of Local Binary Patterns in Texture Classification.
DOI: https://doi.org/10.36478/ijssceapp.2019.74.84
URL: https://www.makhillpublications.co/view-article/1997-5422/ijssceapp.2019.74.84