Ch.  Sudha Sree, M.V.P. Chandra  Sekhara Rao, 
    Performance Analysis of Local Binary Patterns in Texture Classification,
    International Journal of System Signal Control and Engineering Application,
    Volume 12,Issue 4,
    2019,
    Pages 74-84,
    ISSN 1997-5422,
    ijssceapp.2019.74.84,
    (https://makhillpublications.co/view-article.php?doi=ijssceapp.2019.74.84)
    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.
    Keywords: Local Binary Patten (LBP);Local Ternary Pattern (LTP);Completed Local Binary Pattern (CLBP);Completed Local Binary Count (CLBC);AdjacentEvaluation Completed Local Binary Pattern (AECLBP);texture classification;rotation invariant