Rotation-invariant texture retrieval via signature alignment based on steerable sub-Gaussian modeling

This paper addresses the construction of a novel efficient rotation-invariant texture retrieval method that is based on the alignment in angle of signatures obtained via a steerable sub-Gaussian model. In our proposed scheme, we first construct a steerable multivariate sub-Gaussian model, where the...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 17(2008), 7 vom: 30. Juli, Seite 1212-25
1. Verfasser:	Tzagkarakis, George (VerfasserIn)
Weitere Verfasser:	Beferull-Lozano, Baltasar, Tsakalides, Panagiotis
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2008
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't