LOW-LEVEL ANALYSIS AS A BASIC PROCESS FOR CONTENT-BASED IMAGE RETRIEVAL (CBIR) SYSTEM

This article describes the way in which image is prepared for content-based image retrieval system. Automated image extraction is crucial for CBIR systems. Our system is dedicated to support estate agents. All efforts have been put into extracting elements of houses and bungalows from an image and finding their characteristic features in the unsupervised way. Hence, the paper presents segmentation algorithm based on a pixel colour and a novel method of texture identification which is based on wavelet transformation. After a set of low-level features for all objects is computed, the database is filled with these features.