Automatic correspondence using the enhanced hexagonal centre-based inner search algorithm for point-based dental image registration

Economopoulos, T; Matsopoulos, G; Asvestas, P; Grondahl, K; Grondahl, H

dc.contributor.author	Economopoulos, T	en
dc.contributor.author	Matsopoulos, G	en
dc.contributor.author	Asvestas, P	en
dc.contributor.author	Grondahl, K	en
dc.contributor.author	Grondahl, H	en
dc.date.accessioned	2014-03-01T01:56:37Z
dc.date.available	2014-03-01T01:56:37Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28189
dc.subject	Image Registration	en
dc.subject	Iterative Closest Point	en
dc.subject	Search Algorithm	en
dc.subject	Self Organized Map	en
dc.title	Automatic correspondence using the enhanced hexagonal centre-based inner search algorithm for point-based dental image registration	en
heal.type	journalArticle	en
heal.identifier.primary	10.1259/dmfr/26553364	en
heal.identifier.secondary	http://dx.doi.org/10.1259/dmfr/26553364	en
heal.publicationDate	2008	en
heal.abstract	Objectives: In this paper, the enhanced hexagonal centre-based inner search algorithm, for automatic point correspondence, is proposed for dental image registration. Methods: The presented algorithm is incorporated within a general registration scheme, which is based on extracting a set of candidate points on the reference image, finding their corresponding points in the image to be transformed (float image) using the	en
heal.journalName	Dentomaxillofacial Radiology	en
dc.identifier.doi	10.1259/dmfr/26553364	en