Texture image retrieval based on non-tensor product wavelet filter banks

Authors:
Zhenyu He;Xinge You;Yuan Yuan
Affiliations:
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, China;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, China;School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK
Venue:
Signal Processing
Year:
2009

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Abstract

In this paper, we present a novel method, which uses non-separable wavelet filter banks, to extract the features of texture images for texture image retrieval. Compared to traditional tensor product wavelets (such as db wavelets), our new method can capture more direction and edge information of texture images, which is highly valuable to reflect the essential properties of the texture images. Experiments show that the proposed method is satisfactory and can achieve better retrieval accuracies than db wavelets.