CONTENT BASED IMAGE RETRIEVAL USING DUAL-TREE ROTATIONAL COMPLEX WAVELET FILTER

ABSTRACT

A new set of two-dimensional (2-D) rotated complex wavelet filters (RCWFs) are designed with complex wavelet filter coefficients ,which gives texture information strongly oriented in six different direction (45 apart from complex wavelet transform). The 2-D RCWFs are nonseparable and oriented, which improves characterization of oriented textures. Most texture image retrieval systems are still incapable of providing retrieval result with high retrieval accuracy and less computational complexity. To address this problem, we propose a novel approach for texture image retrieval by using a set of dual-tree rotated complex wavelet filter (DT-RCWF) and dual tree-complex wavelet filter (DT-CWT) jointly, which obtain texture feature in 12 different directions. Information generated by DT-CWT. Features is obtained by computing the energy and standard deviation on each sub band of the decomposed image. To check the retrieval performance, texture database D2 of 640 texture images from Brodatz album and database is created .Experimental results indicates that the proposed method improves retrieval rate from 69.61% to 77.75% on database D1, and from 64.83% to 82.81% on database D2, in comparing with traditional discrete wavelet transform based approach .The proposed method also retains comparable levels of computational complexity.

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