Non Linear Transform for Retrieval System in Consideration of Feature Combination Technique

Abstract

An flexible and effective image retrieval system using weighted combination of image retrieval features, is proposed. The proposed method
properties such as, shape an textural features are quite simple to derive and effective, and can be extracted in real time. In retrieval systems the
common method of improving retrieval performance is by weighting the feature vectors. In this paper a new and reliable method of improving
retrieval performance, and which complement feature weighting is proposed. Based on results obtained from this paper, we hereby state that the
key to a breakthrough in current research in semantic image retrieval lies in the use of wavelet texture feature. As simulation results show that the
presented method is so efficient to other compared methods.