PDEs for Morphological Scale-Spaces and Eikonal Applications

Maragos, P

dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:54:19Z
dc.date.available	2014-03-01T01:54:19Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27319
dc.subject	Computer Vision	en
dc.subject	Image Analysis	en
dc.subject	Image Processing	en
dc.subject	Numerical Algorithm	en
dc.subject	Scale Space	en
dc.subject	partial di erential equation	en
dc.title	PDEs for Morphological Scale-Spaces and Eikonal Applications	en
heal.type	journalArticle	en
heal.publicationDate	2005	en
heal.abstract	Abstract: IntroductionIn contrast to the all-discrete approaches that dominated image processing in the recent past,in computer vision since the mid 1980's there have been proposed continuous models for severalvision tasks based on partial di#erential equations (PDEs). The discrete part of such approachescomes only in the corresponding di#erence equations (numerical algorithms) that approximate thesolution of these PDEs. Motivations for using PDEs	en