Image texture description using complex wavelet transform

Abstract

Texture description is important for image retrieval from various large image databases. A method for representing texture information in images utilizing dual tree complex wavelet transform (DT-CWT) is introduced. Approximate shift invariance, good directional selectivity and computational efficiency properties of DT-CWT are effective in describing texture patterns. The perfect reconstruction property of DT-CWT enables us to store the image data using DT-CWT coefficients. Experiments are performed with Brodatz (1966) texture database and nature images that have significant amount of texture information to investigate the efficiency of our texture description algorithm.