Multiscale morphological segmentations based on watershed, flooding, and eikonal PDE

Meyer, F; Maragos, P

dc.contributor.author	Meyer, F	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:14:51Z
dc.date.available	2014-03-01T01:14:51Z
dc.date.issued	1999	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13250
dc.subject	Curve Evolution	en
dc.subject	Minimum Distance	en
dc.subject	Watershed Transform	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	ALGORITHM	en
dc.subject.other	DISTANCE	en
dc.title	Multiscale morphological segmentations based on watershed, flooding, and eikonal PDE	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/3-540-48236-9_31	en
heal.identifier.secondary	http://dx.doi.org/10.1007/3-540-48236-9_31	en
heal.language	English	en
heal.publicationDate	1999	en
heal.abstract	The classical morphological segmentation paradigm is based on the watershed transform, constructed by flooding the gradient image seen as a topographic surface. For flooding a topographic surface, a topographic distance is defined from which a minimum distance algorithm is derived for the watershed. In a continuous formulation, this is modeled via the eikonal PDE, which can be solved using curve evolution algorithms. Various ultrametric distances between the catchment basins may then be associated to the flooding itself. To each ultrametric distance is associated a multiscale segmentation; each scale being the closed balls of the ultrametric distance.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	SCALE-SPACE THEORIES IN COMPUTER VISION	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/3-540-48236-9_31	en
dc.identifier.isi	ISI:000170515400031	en
dc.identifier.volume	1682	en
dc.identifier.spage	351	en
dc.identifier.epage	362	en