PDEs for Morphological Scale-Spaces and Eikonal Applications

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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 http://hdl.handle.net/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

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