This article describes the way in which image is prepared for content-based image retrieval system. Our CBIR system is dedicated to support estate agents. In our database there are images of houses and bungalows. All efforts have been put into extracting elements from an image and finding their characteristic features in the unsupervised way. Hence, the paper presents segmentation algorithm bas...

At present a great deal of research is being done in different aspects of Content-Based Image Retrieval (CBIR). Image classification is one of the most important tasks that must be dealt with in image DB as an intermediate stage prior to further image retrieval. The issue we address is an evolution from the simplest to more complicated classifiers. Firstly, there is the most intuitive one based...

A perceptual approach to generating features for use in indexing and retrieving images is described. Salient regions that immediately attract the eye are colour (textured) regions that usually dominate an image. Features derived from these will allow search for images that are similar perceptually. We compute colour features and Gabor colour texture features on regions identified from a coarse ...

This research presents a new color selection interface that facilitates query-by-color in Content-Based Image Retrieval (CBIR). Existing CBIR color selection interfaces, are being judged as non-intuitive and difficult to use. Our interface copes with these problems of usability. It is based on 11 color categories, used by all people, while thinking of and perceiving color. In addition, its usab...

Visual information is becoming more important and at a rapid rate. However, creators and users are reluctant to annotate visual content making it difficult to search these collections. Content-based image retrieval (CBIR) techniques extract visual descriptors directly from image data and can hence be used in situations where textual information is not available. In this paper, we give a brief i...

In this paper we describe the problem of content-based image retrieval (CBIR) and apply Bayesian and decision theory methodology to develop a CBIR system. This is evaluated using the idea of target testing. Comments on the performance of the system, and how it might be extended, are given. Then we propose a decision theory solution to the problem of identifying sets of images to show the user o...