Near-infrared (NIR) face recognition has attracted increasing attention because of its
advantage of illumination invariance. However, traditional face recognition methods based …

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 …

In this paper, we have proposed a novel feature descriptors combining color and texture
information collectively. In our proposed color descriptor component, the inter-channel …

Background Weeds are a major cause of low agricultural productivity. Some weeds have
morphological features similar to crops, making them difficult to discriminate. Results We …

Face recognition is considered as important research in computer vision applications, and it
is regarded as the basic biometric security system. Research related to face recognition has …

Traditional image features are not able to effectively represent railway fasteners under
varied illumination and conditions. We propose the line local binary pattern encoding …

Feature extraction is vital for face recognition. In this paper, we focus on the general feature
extraction framework for robust face recognition. We collect about 300 papers regarding face …

This research paper presents a comparative study between 14 state of art descriptors which
includes Local Binary Pattern (LBP), Median Binary Pattern (MBP), 6× 6 Multiscale Block …

Developments in defect descriptors and computer vision-based algorithms for automatic
optical inspection (AOI) allows for further development in image-based measurements …

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 …