Content based image retrieval system with region and statistical features using evolutionary algorithms

Abstract

Nowadays finding specific digital images from large resources has become an active research area An image retrieval system is a computer based system for browsing searching and retrieving images from a large database of digital images Among image retrieval approaches text based retrieval is widely used commercially for retrieving But it is not effective as it newlineinvolves time consuming text annotation process Also different users tend to use different keywords to describe a same image characteristic Content Based Image Retrieval is another method of retrieving images from large image resources which has been found to be very effective The term content based means that the search will analyze the actual contents of the newlineimage CBIR system uses low level image features like color texture shape spatial location etc to represent images in terms of their features To improve existing CBIR performance it is very important to find effective and efficient feature extraction mechanisms This research aims to improve the performance of CBIR using region and statistical features newline newline