M-Band and Rotated M-Band Dual-Tree Complex Wavelet Transform for Texture Image Retrieval

Abstract

Abstract A new set of two-dimensional (2D) M-band dual-tree complex wavelet transform (M_band_DT_CWT) and rotated 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 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 and rotated M_band_DT_CWT (M_band_DT_RCWT) by computing the energy, standard deviation, and their combination on each sub-band of the decomposed image. To check the retrieval performance, texture database of 1,856 textures is created from Brodatz album. Retrieval efficiency and accuracy using proposed features are found to be superior to other existing methods.KeywordsM-band waveletsFeature extractionM-band dual-tree complex waveletsImage retrieval