Evolution equations for continuous-scale morphological filtering

Brockett, R; Maragos, P

dc.contributor.author	Brockett, R	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:42:21Z
dc.date.available	2014-03-01T01:42:21Z
dc.date.issued	1994	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/23797
dc.subject	Differential Operators	en
dc.subject	Evolution Equation	en
dc.subject	Morphological Operation	en
dc.subject	Nonlinear Partial Differential Equation	en
dc.subject	Rate of Change	en
dc.subject	Signal Analysis	en
dc.subject	Signal Processing	en
dc.title	Evolution equations for continuous-scale morphological filtering	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/78.340774	en
heal.identifier.secondary	http://dx.doi.org/10.1109/78.340774	en
heal.publicationDate	1994	en
heal.abstract	Multiscale signal analysis has emerged as a useful framework for many computer vision and signal processing tasks. Morphological filters can be used to develop nonlinear multiscale operations that have certain advantages over linear multiscale approaches in that they preserve important signal features such as edges. The authors discuss several nonlinear partial differential equations that model the scale evolution associated with	en
heal.journalName	IEEE Transactions on Signal Processing	en
dc.identifier.doi	10.1109/78.340774	en