Cosine-modulated wavelet based texture features for content-based image retrieval

Authors:
Manesh Kokare;B. N. Chatterji;P. K. Biswas
Affiliations:
Electronics and Electrical Communication Engineering Department, Indian Institute of Technology, Kharagpur, West Bengal 721 302, India;Electronics and Electrical Communication Engineering Department, Indian Institute of Technology, Kharagpur, West Bengal 721 302, India;Electronics and Electrical Communication Engineering Department, Indian Institute of Technology, Kharagpur, West Bengal 721 302, India
Venue:
Pattern Recognition Letters
Year:
2004

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Abstract

Feature extraction is one of the most important tasks for efficient and accurate image retrieval purpose. In this paper we have presented a Cosine-modulated wavelet transform based technique for extraction of texture features. The major advantages of Cosine-modulated wavelet transform are less implementation complexity, good filter quality, and ease in imposing the regularity conditions. Texture features are obtained by computing the energy, standard deviation and their combination on each subband of the decomposed image. To check the retrieval performance, texture database of 1856 textures is created from Brodatz album. Retrieval efficiency and accuracy using Cosine-modulated wavelet based features is found to be superior to other existing methods.