Feature Selection for the Tree-Wavelet Transform

In this paper we consider the wavelet decomposition of textured images with the aim to segment them. One of the key problems with using the tree-structured wavelet transform of an image is deciding how many branches of the tree are required for the accurate representation of the texture within the image, and which of these branches to use as features when clustering.