Wavelet-Based Texture Segmentation of Remotely Sensed Images

In this article a texturefeature extraction scheme based on M-band waveletpacketframes is investigated. Thefeatures so extracted are usedfor segmentation of satellite images which usually have complex and overlapping boundaries. The underlying principle is based on thefact that different image regions exhibit different textures. Since most signifcant information of a texture often lies in the intermediatefrequency bands, the present work employs an overcomplete wavelet decomposition scheme called discrete M band wavelet packet frame (DM-bWPF),which yields improved segmentation accuracies. Waveletpackets represent a generalization of the method of multiresolution decomposition and comprise of all possible combinations of subband tree decomposition. We propose a computationally eflcient search procedure to find the optimal basis based on some maximum criterion of textural measures derived from the statistical parameters of each of the subbands, to locate dominant information in each sub...

• Type: Conference
• Year: 2001
• Where: ICIAP
• Authors: Mausumi Acharyya, Malay K. Kundu
• Keywords: ICIAP 2001, Image Processing, Multiresolution Decomposition, Subband Tree Decomposition, Wavelet Decomposition Scheme