International Journal of Signal System Control and Engineering Application

Year: 2019
Volume: 12
Issue: 4
Page No. 74 - 84

Performance Analysis of Local Binary Patterns in Texture Classification

Authors : Ch. Sudha Sree and M.V.P. Chandra Sekhara Rao

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, 2019. Performance Analysis of Local Binary Patterns in Texture Classification. International Journal of Signal System Control and Engineering Application, 12: 74-84.

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