A Representation Theory for Morphological Image and Signal Processing

Maragos, P

dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:39:30Z
dc.date.available	2014-03-01T01:39:30Z
dc.date.issued	1989	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/22829
dc.subject	Geometric Structure	en
dc.subject	Linear Filtering	en
dc.subject	Mathematical Morphology	en
dc.subject	Order Statistic	en
dc.subject	Representation Theory	en
dc.subject	Shape Analysis	en
dc.subject	Shape Recognition	en
dc.subject	Signal Analysis	en
dc.subject	Signal Processing	en
dc.subject	Translation Invariant	en
dc.subject	upper semicontinuous	en
dc.title	A Representation Theory for Morphological Image and Signal Processing	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/34.24793	en
heal.identifier.secondary	http://dx.doi.org/10.1109/34.24793	en
heal.publicationDate	1989	en
heal.abstract	This paper presents a unifying theory for many concepts and operations encountered in or related to morphological image and signal analysis. This unification requires a set-theoretic melhodology, where signals are modeled as sets, systems (signal transformations) are viewed as set mappings, and translation-invariant systems are uniquely characterized by special collections of input signals. This approach leads to a general representation	en
heal.journalName	IEEE Transactions on Pattern Analysis and Machine Intelligence	en
dc.identifier.doi	10.1109/34.24793	en