A PDE Approach to Nonlinear Image Simplification via Levelings and Reconstruction Filters

Maragos, P; Meyer, F

dc.contributor.author	Maragos, P	en
dc.contributor.author	Meyer, F	en
dc.date.accessioned	2014-03-01T02:48:53Z
dc.date.available	2014-03-01T02:48:53Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34118
dc.subject	Feature Detection	en
dc.subject	Image Analysis	en
dc.subject	Large Classes	en
dc.subject	Nonlinear Filter	en
dc.subject	Nonlinear Partial Differential Equation	en
dc.subject	Numerical Solution	en
dc.subject	Scale Space	en
dc.title	A PDE Approach to Nonlinear Image Simplification via Levelings and Reconstruction Filters	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIP.2000.899871	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIP.2000.899871	en
heal.publicationDate	2000	en
heal.abstract	We present a nonlinear partial differential equation (PDE) that models the generation of a large class of advanced morphological filters, the levelings and the openings/closings by reconstruction. These types of filters are very useful in numerous image analysis and vision tasks ranging from enhancement, feature detection, image simplification, to segmentation. The developed PDE models these nonlinear filters as the limit	en
heal.journalName	International Conference on Image Processing	en
dc.identifier.doi	10.1109/ICIP.2000.899871	en