Title : ( Wavelet correlogram:A new approach for image indexing and retrieval )
Authors: H. Abrishami Moghaddam , T. Taghizadeh Khajoie , A.H. Rouhi , Mahdi Saadatmand ,Access to full-text not allowed by authors
Abstract
In this paper, a new algorithm for content-based image indexing and retrieval is presented. The proposed method is based on a combination of multiresolution image decomposition and color correlation histogram. According to the new algorithm, wavelet coefficients of the image are computed first using a directional wavelet transform such as Gabor wavelets. A quantization step is then applied before computing one-directional autocorrelograms of the wavelet coefficients. Finally, index vectors are constructed using these one-directional wavelet correlograms. The retrieval results obtained by application of our new method on a 1000 image database demonstrated a significant improvement in effectiveness and efficiency compared to the indexing and retrieval methods based on image color correlogram or wavelet transform.