Recent image retrieval techniques are focusing on multiple image features for the efficient
image retrieval. It has been an inevitable requirement to fetch the images from a variety of …

Today, large amount of data are stored in image format. Content based image retrieval from
bulk databases has become an interesting research topic in last decade. Most of the recent …

Image retrieval is one of the hot research topics in computer vision which has been paid
much attention by researchers in the last decade. Image retrieval refers to retrieving more …

Most of the local descriptors exists today are based on the relationship between the
neighborhood pixels and the center pixel by considering the 3× 3 spatial window. Moving …

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 …

This research paper introduces the novel local binary pattern (LBP) variant for face
recognition (FR) called as neighborhood and center difference-based-LBP (NCDB-LBP). In …

Facial emotion recognition is a crucial task for human-computer interaction, autonomous
vehicles, and a multitude of multimedia applications. In this paper, we propose a modular …

Aiming at the defect of Local Binary Pattern (LBP) and its variants, this paper presents a new
modeling of the conventional LBP operator for texture classification. Named Attractive-and …

As one of the most successful local feature descriptors, the local binary pattern (LBP)
estimates the texture distribution rule of an image based on the signs of differences between …

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 …