This paper proposes two sets of novel edge-texture features, Discriminative Robust Local
Binary Pattern (DRLBP) and Ternary Pattern (DRLTP), for object recognition. By …

Original Local Binary Pattern (LBP) descriptor has two obvious demerits, ie, it is sensitive to
noise, and sometimes it tends to characterize different structural patterns with the same …

This paper presents a novel approach for texture classification, generalizing the well-known
local binary pattern (LBP) approach. In the proposed approach, two different and …

The local binary pattern (LBP) and its variants have shown the effectiveness in texture
images classification, face recognition, and other applications. However, most of these LBP …

Abstract Local Binary Pattern (LBP) is widely used in texture classification because of its
powerful capability to extract texture features of a center pixel. However, LBP has three main …

Local binary pattern (LBP) is an effective texture descriptor which has successful
applications in texture classification and face recognition. Many extensions are made for …

Four novel color Local Binary Pattern (LBP) descriptors are presented in this paper for scene
image and image texture classification with applications to image search and retrieval …

Local binary pattern (LBP) and its variants have been successfully applied in texture feature
extraction. However, it is hard for most LBP-based methods to effectively describe and …

Aiming at the defect of Local Binary Pattern (LBP) and its variants, this paper presents a new
modeling of the conventional LBP operator for texture classification. Named Attractive-and …

Local binary pattern (LBP) and its variants have shown promising results in visual
recognition applications. However, most existing approaches rely on a pre-defined structure …