We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

In order to improve the retrieval accuracy of content-based image retrieval systems, research
focus has been shifted from designing sophisticated low-level feature extraction algorithms …

The last decade has witnessed great interest in research on content-based image retrieval.
This has paved the way for a large number of new techniques and systems, and a growing …

This paper presents a review of the region of interest-based (ROI) image retrieval
techniques. In this study, the techniques, the performance evaluation parameters, and …

Segmenting common objects that have variations in color, texture and shape is a
challenging problem. In this paper, we propose a new model that efficiently segments …

Content based image retrieval (CBIR) systems retrieve images linked to the query image
(QI) from enormous databases. The feature sets extracted by the present CBIR systems are …

In this paper, we propose a novel color image retrieval approach by using an effective fusion
of two types of histograms extracted from color and local directional pattern (LDP) …

The design of robust and efficient cosegmentation algorithms is challenging because of the
variety and complexity of the objects and images. In this paper, we propose a new …

This paper presents an interactive technique for remote sensing image classification. In our
proposal, users are able to interact with the classification system, indicating regions of …

A comprehensive survey on patch recognition, which is a crucial part of content-based
image retrieval (CBIR), is presented. CBIR can be viewed as a methodology in which three …