Texture image retrieval using rotated wavelet filters

Authors:
Manesh Kokare;P. K. Biswas;B. N. Chatterji
Affiliations:
Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721 302 (WB), India;Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721 302 (WB), India;Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721 302 (WB), India
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

A novel approach for texture image retrieval is proposed by using a new set of two-dimensional (2-D) rotated wavelet filters (RWF) and discrete wavelet transform (DWT) jointly. A new set of 2-D rotated wavelet improves characterization of diagonally oriented textures. Experimental results indicate that the proposed method improves retrieval rate from 70.09% to 78.44% on database D1, and from 75.62% to 80.78% on database D2, compared with the traditional DWT based approach. The proposed method also retains comparable levels of computational complexity.