The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for developing highly effective retrieval systems to satisfy …

It is of great interest in exploiting texture information for classification of hyperspectral
imagery (HSI) at high spatial resolution. In this paper, a classification paradigm to exploit rich …

Among very popular local image descriptors which has shown interesting results in
extracting soft facial biometric traits is the local binary patterns (LBP). LBP is a gray-scale …

A new image feature description based on the local wavelet pattern (LWP) is proposed in
this paper to characterize the medical computer tomography (CT) images for content-based …

Micro-expression recognition is still in the preliminary stage, owing much to the numerous
difficulties faced in the development of datasets. Since micro-expression is an important …

In this paper, we propose a new algorithm using spherical symmetric three dimensional
local ternary patterns (SS-3D-LTP) for natural, texture and biomedical image retrieval …

Texture is an important characteristic for many types of images. In recent years, very
discriminative and computationally efficient local texture descriptors based on local binary …

Background Classification of breast ultrasound (BUS) images is an important step in the
computer-aided diagnosis (CAD) system for breast cancer. In this paper, a novel phase …

Local binary patterns (LBP) achieve great success in texture analysis, however they are not
robust to noise. The two reasons for such disadvantage of LBP schemes are (1) they encode …

In this paper, we propose a sorted consecutive local binary pattern (scLBP) for texture
classification. Conventional methods encode only patterns whose spatial transitions are not …