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COMPLEX WAVELET TRANSFORM-BASED COLOR INDEXING FOR CONTENT-BASED IMAGE RETRIEVAL

With the rapid establishment of digital libraries and multimedia databases, the need for an efficient search algorithm is also increasing. In this paper, a new approach for content-based image indexing and retrieval is presented. The proposed method is based on a combination of multiresolution analysis and color characteristics of the image. Also, in order to obtain better retrieval results, the image texture features are combined with the color features to form a powerful discriminating feature vector for each image. The texture features are obtained with the use of dual-tree complex wavelet transform (DT CWT) method. According to the new algorithm, the image is divided into different sublayers, each of which containing only pixels in areas with similar spatial frequency characteristics. Here, we present a computationally efficient algorithm to implement an efficient content-based image retrieval algorithm. Simulation results show the efficiency of the proposed algorithm.