Morphological systems for multidimensional signal processing

Maragos, P; Schafer, R

dc.contributor.author	Maragos, P	en
dc.contributor.author	Schafer, R	en
dc.date.accessioned	2014-03-01T01:39:50Z
dc.date.available	2014-03-01T01:39:50Z
dc.date.issued	1990	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/22989
dc.subject	Feature Extraction	en
dc.subject	Geometric Structure	en
dc.subject	Image Analysis	en
dc.subject	Large Classes	en
dc.subject	Mathematical Morphology	en
dc.subject	Morphological Operation	en
dc.subject	Multidimensional Signal Processing	en
dc.subject	Nonlinear Filter	en
dc.subject	Representation Theorem	en
dc.subject	Shape Representation	en
dc.subject	Size Distribution	en
dc.title	Morphological systems for multidimensional signal processing	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/5.54808	en
heal.identifier.secondary	http://dx.doi.org/10.1109/5.54808	en
heal.publicationDate	1990	en
heal.abstract	The basic theory and applications of a set-theoretic approach to image analysis called mathematical morphology are reviewed. The goals are to show how the concepts of mathematical morphology geometrical structure in signals to illuminate the ways that morphological systems can enrich the theory and applications of multidimensional signal processing. The topics covered include: applications to nonlinear filtering (morphological and rank-order	en
heal.journalName	Proceedings of The IEEE	en
dc.identifier.doi	10.1109/5.54808	en