RT Journal Article
T1 Decomposition of 3D Medical Images into Visual Patterns
A1 Dosil Lago, Raquel
A1 Pardo López, Xosé Manuel
A1 Fernández Vidal, Xosé Ramón
K1 Low Level Representation
K1 Multiresolution Analysis
K1 Phase Congruence
K1 Active Model Initialization
AB In this paper, we present a method for the decomposition of a volumetric image into its most relevant visual patterns , which we define as features associated to local energy maxima of the image. The method involves the clustering of a set of predefined bandpass energy filters according to their ability to segregate the different features in the image, thus generating a set of composite-feature detectors tuned to the specific visual patterns present in the data. Clustering is based on a measure of statistical dependence between pairs of frequency features. We will illustrate the applicability of the method to the initialization of a three-dimensional geodesic active model.
PB IEEE
SN 0018-9294
YR 2005
FD 2005-11-21
LK http://hdl.handle.net/10347/32694
UL http://hdl.handle.net/10347/32694
LA eng
NO Dosil, R., Pardo, X. M., & Fdez-Vidal, X. R. (2005). Decomposition of three-dimensional medical images into visual patterns. IEEE transactions on biomedical engineering, 52(12) (2005) 2115-2118
NO This work was supported in part by the Xunta de Galicia under Grant PGIDIT04TIC206005PR
DS Minerva
RD 28 abr 2026