This paper proposes a fuzzy logic approach, UFM (unified feature matching), for region-
based image retrieval. In our retrieval system, an image is represented by a set of …

Content Based Image Retrieval (CBIR) is a process in which for a given query image, similar
images will be retrieved from a large image database based on their content similarity. The …

Background: In this study, we investigated the fusion of texture and morphometric features
as a possible diagnostic biomarker for Alzheimer's Disease (AD). Methods: In particular, we …

In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of
information storage, distribution, and processing: the World Wide Web is becoming an …

This paper presents a fuzzy-neural approach for interpretation and fusion of colour and
texture features for CBIR systems. The presented approach uses fuzzy logic to interpret …

In this paper, we design a content-based image retrieval system where multiple query
examples can be used to indicate the need to retrieve not only images similar to the …

Content based image retrieval (CBIR) system allows users to retrieve similar images from a
large image database based upon a query image. Furthermore, the challenges faced by …

Abstract Content-Based Image Retrieval (CBIR) is an active area of research since the past
decade. A lot of work is still being done in this area, which includes various applications …

The paper presents a novel fuzzy logic-based approach for interpretation of color queries
and a technique for fusion of multiple queries. Currently, in most real world systems, users …

A major design issue in content-based image retrieval system is the selection of the feature
set. This study attacks the problem of finding a discriminative feature for each class, which is …