RT Journal Article
T1 Distances between frequency features for 3D visual pattern partitioning
A1 Dosil Lago, Raquel
A1 Fernández Vidal, Xosé Ramón
A1 Pardo López, Xosé Manuel
K1 Low level feature extraction
K1 Visual pattern partitioning
K1 Multiresolution analysis
K1 Image dissimilarity estimation
AB In this paper we propose a technique for the decomposition of a 3D image into a set of low level patterns associated to phase congruency, which we call visual patterns. Those patterns have frequency components in a wide range of bands that are aligned in phase. The method involves clustering of the band-pass filtered versions of the image according to a measure of congruence in phase or, what is equivalent, alignment in the filter’s responses energy maxima. This is achieved by defining a distance between the responses of pairs of filters and applying a hierarchical clustering analysis to the resulting distance matrix. To measure the degree of maxima alignment we propose a set of alternative distances and study their suitability. From this study we conclude that a measure of linear dependence between the local energy of filters’ responses is more appropriate than a more general measure of dependence.
PB Elsevier
SN 0167-8655
YR 2006
FD 2006-07-15
LK http://hdl.handle.net/10347/32693
UL http://hdl.handle.net/10347/32693
LA eng
NO Dosil, R., Fdez-Vidal, X. R., & Pardo, X. M. (2006). Distances between frequency features for 3D visual pattern partitioning. Pattern recognition letters, 27(10), 1127-1141.
NO The authors desire to acknowledge the Xunta de Galicia for their financial support of this work by means of the research project PGIDIT04TIC206005PR.
DS Minerva
RD 26 abr 2026