Image Retrieval System Using Hybrid Feature Extraction Technique

Abstract

Image Retrieval system is an effective and efficient tool for managing large image databases. A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query image. In this paper content based image retrieval method is used on digital image data set. The main objective of this paper is to evaluate the retrieval system based on Hybrid features. The texture features are extracted by using pyramidal wavelet transform and the shape features are extracted by using Fourier descriptor. And the hybrid technique is the combination of both texture and shape. The major advantage of such an approach is that little human intervention is required. It is ascertained that the performance is superior when the image retrieval based on the Hybrid features, and better results than primitive set.