An adaptive approach to unsupervised texture segmentation using m-Band wavelet transform

摘要

The M-band wavelet decomposition, which is a direct generalization of the standard 2-band wavelet decomposition is applied to the problem of an unsupervised segmentation of two texture images. Orthogonal and linear phase M-band wavelet transform is used to decompose the image into MxM channels. Various combinations of these bandpass sections are taken to obtain different scales and orientations in the frequency plane.