Designing discriminative powerful texture features robust to realistic imaging conditions is a
challenging computer vision problem with many applications, including material recognition …

The local binary pattern (LBP) and its variants have shown the effectiveness in texture
images classification, face recognition, and other applications. However, most of these LBP …

Gesture recognition based on computer vision has gradually become a hot research
direction in the field of human-computer interaction. The field of human-computer interaction …

In this paper, a new texture descriptor based on the local neighborhood intensity difference
is proposed for content based image retrieval (CBIR). For computation of texture features …

In this work we propose a new online, low cost and fast approach based on computer vision
and machine learning to determine whether cutting tools used in edge profile milling …

In this paper, the three level descriptions from LTP and the directional features from LDP are
combined to form a new local feature descriptor, referred to as local directional ternary …

Motivated by researching new image texture modeling that improves state-of-the-art LBP
variants and non-LBP descriptors, this paper proposes a novel approach for constructing …

Texture features based on the gray-level co-occurrence matrix (GLCM) can effectively
improve classification accuracy in geographical analyses of optical remote sensing (RS) …

Wireless capsule endoscopy (WCE) is a novel imaging technique that can travel through
human body and image the small bowel entirely. Therefore, it has been gradually adopted …

We propose novel vehicle detection and classification methods based on images from
visible light and thermal cameras. These methods can be used in real-time smart …