HEAL DSpace

Automatic Correspondence using the Enhanced Hexagonal Center-based Inner Search Algorithm for Point-based Dental Image Registration

Αποθετήριο DSpace/Manakin

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dc.contributor.author Economopoulos, T en
dc.contributor.author Asvestas, P en
dc.contributor.author Matsopoulos, G en
dc.contributor.author Grondahl, K en
dc.contributor.author Grondahl, H en
dc.date.accessioned 2014-03-01T02:50:15Z
dc.date.available 2014-03-01T02:50:15Z
dc.date.issued 2006 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/34983
dc.subject Image Registration en
dc.subject Search Algorithm en
dc.title Automatic Correspondence using the Enhanced Hexagonal Center-based Inner Search Algorithm for Point-based Dental Image Registration en
heal.type conferenceItem en
heal.identifier.primary 10.1109/IEMBS.2006.260676 en
heal.identifier.secondary http://dx.doi.org/10.1109/IEMBS.2006.260676 en
heal.publicationDate 2006 en
heal.abstract In this paper a modified version of the center-based inner search algorithm, the enhanced hexagonal center-based inner search algorithm, for automatic point correspondence is proposed towards dental registration. The modified 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 other image en
heal.journalName Annual International Conference of the IEEE Engineering in Medicine and Biology Society en
dc.identifier.doi 10.1109/IEMBS.2006.260676 en


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