A rapid growth in medical ultrasound database makes it difficult for medical practitioners to
manage and search relevant data with good efficiency. Hence, a novel image retrieval …

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 …

In this present work, a new technique for content-based image retrieval is introduced using
local tetra-directional pattern. In conventional local binary pattern (LBP), each pixel of an …

This paper presents an efficient medical image indexing and retrieval method using two new
proposed feature descriptors named as threshold local binary AND pattern (TLBAP) and …

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 …

The current approaches for image retrieval are more concentrating on numerous image
features. Texture, shape, spatial information, and color are the fundamental features to deal …

Local Binary Pattern (LBP) is an effective method for texture analysis, being appreciated for
accuracy and computing power. The LBP operator is invariant to illumination and contrast …

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

This paper proposes a region based image retrieval system using the local colour and
texture features of image sub regions. The regions of interest (ROI) are roughly identified by …

In the medical field accurate diagnosis is very crucial for successful treatment. With the rapid
development of technology, the ever increasing quantity of medical images is produced in …