Wavelet correlogram: A new approach for image indexing and retrieval

Authors:
H. Abrishami Moghaddam;T. Taghizadeh Khajoie;A. H. Rouhi;M. Saadatmand Tarzjan
Affiliations:
K.N. Toosi University of Technology, Seyed Khandan P.O. Box 16315-1355, Tehran, Iran;AZAD University, Science & Research Unit, P.O. Box 19395-3755, Tehran, Iran;AZAD University, Science & Research Unit, P.O. Box 19395-3755, Tehran, Iran;K.N. Toosi University of Technology, Seyed Khandan P.O. Box 16315-1355, Tehran, Iran
Venue:
Pattern Recognition
Year:
2005

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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.