Most image analysis techniques are based upon low level descriptions of the data. It is
important that the chosen representation is able to discriminate as much as possible among
independent image features. In particular, this is of great importance in segmentation with
deformable models, which must be guided to the target object boundary avoiding other
image features. In this paper, we present a multiresolution method for the decomposition of a
volumetric image into its most relevant visual patterns, which we define as features …