Medical imaging performs a vital role in the medical field as it provides important information
on the internal body parts for the clinical analysis and medical intervention which enables …

Variations between image pixel characteristics contain a wealth of information. Extraction of
such cues can be used to describe image content. In this paper, we propose a novel …

The objective of the content-based image retrieval (CBIR) system is to retrieve the visually
identical images from the database efficiently and effectively. It is a broad research realm …

Content-Based Image Retrieval (CBIR) is the solution to the image retrieval problem based
on the contents of the query image. The objective of the CBIR system is to retrieve the …

Biomedical image retrieval is a crucial side of computer-aided diagnosis. It helps the
radiologist and medical specialist to spot and perceive the specific disease. This paper …

A new image feature vector named, local color oppugnant quantized extrema pattern
(LCOQEP) is proffered in this paper. In the proposed method, color-texture information …

Abstract Content-Based Image Retrieval (CBIR) is a well-known research topic from the
computer vision domain which helps retrieve similar images from a dataset as per the …

This book describes various types of image patterns for image retrieval. All these patterns
are texture dependent. Few image patterns such as Improved directional local extrema …

Medical imaging gives essential visual data of interior body portions for the purpose of
clinical investigation and restorative intercession which empowers doctors for analyzing and …

An image descriptor, multi-channel local oblique symmetry texture pattern (MLOSTP), has
been introduced for image retrieval. To capture color, texture, and local spatial information in …