Non Linear Transform for Retrieval System in Consideration of Feature Combination Technique
Tohid Sedghi · DergiPark (Istanbul University) · 2012
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