Object tracking has remained a challenging problem in recent years. Most of the trackers can not work well, especially when dealing with problems such as similarly colored backgrounds, object occlusions, low illumination, or sudden illumination changes in real scenes. A centroid iteration algorithm using multiple features and a posterior probability criterion is presented to solve these problem...

Local binary pattern (LBP) captures the local information of a texture effectively and thus plays a dominant role in many image processing applications. A LBP with (8, 1) or (8, 2) derives 2= 256 different patterns, to reduce this dimensionality uniform local binary patterns (ULBP) are derived and it has been proved that they capture fundamental properties of texture. The major disadvantage of ...

Osteoarthritis (OA) causes progressive degeneration of articular cartilage and pathological changes in subchondral bone. These changes can be assessed volumetrically using micro-computed tomography (μCT) imaging. The local descriptor, i.e. local binary pattern (LBP), is a new alternative solution to perform analysis of local bone structures from μCT scans. In this study, different trabecular bo...

Recently several papers have appeared in the literature which propose pseudo-dynamic features for automatic static handwritten signature verification based on the use of gray level values from signature stroke pixels. Good results have been obtained using rotation invariant uniform local binary patterns LBP plus LBP and statistical measures from gray level co-occurrence matrices (GLCM) with MCY...

Medical image watermarking represents a promising alternative tool regarding many security aspects such: digital rights, authenticity and integrity content protection issues. Achieving successful should be achieved by choosing the most significant important patterns describing image. This strategy also ensure tradeoff between robustness of watermark against attacks computational time both for e...

This paper presents a survey on the recent use of Local Binary Patterns (LBPs) for face recognition. LBP is becoming a popular technique for face representation. It is a non-parametric kernel which summarizes the local spacial structure of an image and it is invariant to monotonic gray-scale transformations. This is a very interesting property in face recognition. This probably explains the rec...

Script identification is very important to develop the scripts OCR systems. In this paper, we proposed a new algorithm for script identification based on the global and local texture of document images. The BEMD method is used to decompose the image to some components (IMFs) and then the Local Binary Patterns (LBP) method is used to detect the features. Experiments shown the recognition rate ba...

Local binary patterns of more bits extracted in a large structure have shown promising results in visual recognition applications. This results in very highdimensional data so that it is not feasible to directly extract features from the LBP histogram, especially for a large-scale database. Instead of extracting features from the LBP histogram, we propose a new approach to learn discriminative ...

Many face recognition algorithms have been developed over the past few years but the problem remains challenging, especially for images taken under uncontrolled lighting conditions. We show that the robustness of several popular linear subspace methods and of Local Binary Patterns (LBP) can be substantially improved by including a very simple image preprocessing stage based on gamma correction,...

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 ...