PUBLISHED IN PROC TH INTL CONF ON IMAGE ANALYSIS AND PROCESSING ICIAP PALERMO ITALY PP Wavelet based Texture Segmentation of Remotely Sensed Images

In this article a texture feature extrac tion scheme based on M band wavelet packet frames is investigated The features so extracted are used for segmentation of satellite images which usually have complex and overlapping boundaries The underly ing principle is based on the fact that di erent im age regions exhibit di erent textures Since most signi cant information of a texture often lies in the intermediate frequency bands the present work em ploys an overcomplete wavelet decomposition scheme called discrete M band wavelet packet frame DM bWPF which yields improved segmentation accu racies Wavelet packets represent a generalization of the method of multiresolution decomposition and comprise of all possible combinations of subband tree decomposition We propose a computationally e cient search procedure to nd the optimal basis based on some maximum criterion of textural measures de rived from the statistical parameters of each of the subbands to locate dominant information in each sub bands frequency channels and decide further decom position