M-band Dual Tree Complex Wavelet Transform for Texture Image Indexing and Retrieval

A new set of two-dimensional (2-D) M-band dual tree complex wavelet transform (M_band_DT_CWT) is designed to improve the texture retrieval performance. Unlike the standard dual tree complex wavelet transform (DT_CWT), which gives a logarithmic frequency resolution, the M-band decomposition gives a mixture of a logarithmic and linear frequency resolution. 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 using M_band_DT_CWT 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 proposed features is found to be superior to other existing methods.