This paper presents a method to extract color and texture features of an image quickly for
content-based image retrieval (CBIR). First, HSV color space is quantified rationally. Color …

There has been an unrestrained growth of videos on the Internet due to proliferation of
multimedia devices. These videos are mostly stored in unstructured repositories which pose …

Purpose In the past few decades, the content-based image retrieval (CBIR), which focuses
on the exploration of image feature extraction methods, has been widely investigated. 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 …

One of the biggest challenges in content based image retrieval is to solve the problem of
“semantic gaps” between low-level features and high-level semantic concepts. In this paper …

Autism spectrum disorder (ASD) is a serious neurodevelopmental disorder that impairs a
child's ability to communicate and interact with others. Usually, recognizing a child with ASD …

Color texture retrieval is a hot research area in image analysis. In this paper, we propose an
efficient color texture retrieval method by using copula model based on Gabor wavelets …

abstract This research paper is an attempt to present Content Based Image Retrieval (CBIR)
system developed for retrieving diseased leaves of soybean. It uses color, shape and texture …

This paper presents a novel framework for color image retrieval through combination of all
the low level features, which gives higher retrieval accuracy. The Color Difference Histogram …

Abstract Feature-Based Medical Image Retrieval (FBMIR) systems are exploited to retrieve
useful contents from a massive number of medical images. A novel technique for image …