The face of a human being conveys extensive information about the identity and emotional state of the person. However, the most important phase in face recognition is extraction. In which the most useful and unique features of the face image are extracted. The Center-Symmetric Local binary Pattern (CS-LBP) feature can be viewed a combination of the texture-based feature and the gradient-based f...

classical lbp such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. in this paper, we introduce an improved lbp algorithm to solve these problems that utilizes fast pca algorithm for reduction of vector dimensions of extracted features. in other words, proffer method (fast pca+lbp) is an improved lbp algorithm that is extracted ...

In this paper, a real-time local visual feature, namely FAST+CSLBP, is proposed for omnidirectional vision. It combines the advantages of two computationally simple operators by using Features from Accelerated Segment Test (FAST) as the feature detector, and Center-Symmetric Local Binary Patterns (CS-LBP) operator as the feature descriptor. The matching experiments of the panoramic images from ...

LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this paper, we present a novel method to use LBPH feature in ordinary binary classification problem. Given a restricted local patch, the Chi square distance between the extracted LBPH and a reference histogram is used as a measure of confidence belonging to the reference ...

Local Binary Pattern (LBP) is a traditional descriptor for texture analysis that gained attention in the last decade. Being robust to several properties such as invariance to illumination translation and scaling, LBPs achieved stateof-the-art results in several applications. However, LBPs are not able to capture high-level features from the image, merely encoding features with low abstraction l...

Low back pain has become one of the major reasons from absence from work. The aetiology of LBP is still not fully understood and controversy remains regarding the significance of the influencing factors. Clinical objectivity is consistently increased by isokinetic testing devices whose validation is a major goal in clinical practice. By this means we set up a protocol of examination to better q...

A general texture description model is proposed, using topology related attributes calculated from Local Binary Patterns (LBP). The proposed framework extends and generalises existing LBP-based descriptors like LBP-rotation invariant uniform patterns (LBP), and Local Binary Count (LBC). Like them, it allows contrast and rotation invariant image description using more compact descriptors than cl...

A major issue in computer aided celiac disease diagnosis is the prevalence of substantial intra-class and even intra-image variations. A method which splits the images into a set of smaller ones and finally applies a decision level fusion turned out to be a powerful technique to address these problems and to boost the classification accuracy. This is especially true if using Local Binary Patter...

This paper investigates the problem of learning sets of discriminative patterns from local binary patterns (LBP). Such patterns are usually referred to as ‘dominant local binary patterns’ (DLBP). The strategies to obtain the dominant patterns may either keep knowledge of the patterns labels or discard it. It is the aim of this work to determine which is the best option. To this end the paper st...

This paper presents a new method to combine local and global features for near-duplicate images detection. It mainly consists of three steps. Firstly, the keypoints of images are extracted and preliminarily matched. Secondly, the matched keypoints are voted for estimation of affine transform to reduce false matching keypoints. Finally, to further confirm the matching, the Local Binary Pattern (...