In recent years, with extensive application in image retrieval and other tasks, a convolutional
neural network (CNN) has achieved outstanding performance. In this paper, a new content …

Local binary descriptors, such as local binary pattern (LBP) and its various variants, have
been studied extensively in texture and dynamic texture analysis due to their outstanding …

Automated classification of medical images using machine learning methods has portrayed
a vital role in the field of medical diagnosis. In the research work presented in this paper, the …

An effective model, which jointly captures shape and motion cues, for dynamic texture (DT)
description is introduced by taking into account advantages of volumes of blurred-invariant …

An efficient framework for dynamic texture (DT) representation is proposed by exploiting
local features based on Local Binary Patterns (LBP) from filtered images. First, Gaussian …

Drones will be widely used in the smart cities of the future for the wireless approach,
supplying goods, and for conserving the security of smart cities. Apart from the various …

Gearbox is the key functional unit in a mechanical transmission system. As its operating
condition being complex and the interference transmitting from diverse paths, the vibration …

Proper classification of fingerprints still poses difficult issues in large-scale databases due to
ambiguity in intraclass and interclass structures, discontinuity in low-quality images, and …

Computational analysis on altered micro-nano-textural attributes of the oral mucosa may
provide precise diagnostic information about oral potentially malignant disorders (OPMDs) …

Illumination-insensitive image representation is a great challenge in the computer vision
field. Illumination variations considerably obstruct the effectiveness of image feature …