In the current multi-scale LBP (MS-LBP) on texture and material classification, each scale is encoded into histograms individually. This strategy ignores the correlation between different scales, and loses a lot of discriminative information. In this paper , we propose a novel and effective multi-scale joint encoding of local binary patterns (MSJLBP) for texture and material classification. In ...

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Disc herniation is a major reason for lower back pain (LBP), it cost the United Kingdom (UK) government over £1.3 million per day. In fact a very high proportion of the UK population will complain from their back pain. Furthermore, Magnetic Resonance Imaging (MRI) is one of the main diagnosing procedure for LBP. Automatic disc labeling in the MRI to detect the herniation area will reduce the re...

Recently, we have developed a nonparametric approach to texture analysis, in which the distributions of simple texture measures based on local binary patterns and signed gray level differences are used to provide complementary information about the strurctural and stochastic properties of image texture. Very good performance has been obtained in various texture classification and segmentation p...

In this chapter we describe a unifying framework for local binary patterns and variants which we refer to as histograms of equivalent patterns (HEP). In presenting this concept we discuss some basic issues in texture analysis: the problem of defining what texture is; the problem of classifying the many existing texture descriptors; the concept of bag-of-features and the design choices that one ...

A mobile Android application that can automatically recognize wood species from a low quality mobile phone photo under varying illumination conditions is presented. The wood recognition is based on the Markovian, spectral, and illumination invariant textural features. The method performance was verified on a wood database, which contains veneers from sixty-six varied European and exotic wood sp...

Research on automatic demographic classification is still in its infancy despite the vast potential applications. The few existing works are only based on static images while nowadays input data in many real-world applications consist of video sequences. From these observations and also inspired by studies in neuroscience emphasizing manifold ways of visual perception, we propose in this work a...

In this paper, we propose a novel generative approach for face authentication, based on a Local Binary Pattern (LBP) description of the face. A generic face model is considered as a collection of LBP-histograms. Then, a client-specific model is obtained by an adaptation technique from this generic model under a probabilistic framework. We compare the proposed approach to standard state-of-the-a...

In this paper, we present a novel approach to multi-view gender classification considering both shape and texture information to represent facial image. The face area is divided into small regions, from which local binary pattern(LBP) histograms are extracted and concatenated into a single vector efficiently representing the facial image. The classification is performed by using support vector ...

Census data provides an important source of information with respect to decision makers operating in many different fields. However, census collection is a time consuming and resource intensive task. This is especially the case in rural areas where the communication and transportation infrastructure is not as robust as in urban areas. In this paper the authors propose the use of satellite image...