In this paper, we propose a novel image indexing and retrieval algorithm using local tetra
patterns (LTrPs) for content-based image retrieval (CBIR). The standard local binary pattern …

This paper presents a simple yet efficient image retrieval approach by proposing a new
image feature detector and descriptor, namely the micro-structure descriptor (MSD). The …

In this paper, we present a new and effective color image retrieval scheme for combining all
the three ie color, texture and shape information, which achieved higher retrieval efficiency …

The modern world uses digital data invariably and the advent of smart phones and cameras
add to images and communicating through images in social media is a very common …

A new algorithm meant for content based image retrieval (CBIR) and object tracking
applications is presented in this paper. The local region of image is represented by local …

A new image retrieval technique using local neighborhood difference pattern (LNDP) has
been proposed for local features. The conventional local binary pattern (LBP) transforms …

In this paper, a new algorithm using directional local extrema patterns meant for content-
based image retrieval application is proposed. The standard local binary pattern (LBP) …

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 …

Content based image retrieval is a common problem for a large image database. Many
methods have been proposed for image retrieval for some particular type of datasets. In the …

Content-based image retrieval (CBIR) has been an active research topic in the last decade.
Feature extraction and representation is one of the most important issues in the CBIR. In this …