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

Content Provider	IEEE Xplore Digital Library
Author	Economopoulos, T. Asvestas, P.A. Matsopoulos, G.K. Grondahl, K. Grondahl, H.-G.
Copyright Year	2006
Description	Author affiliation: Inst. of Commun. & Comput. Syst., Athens (Economopoulos, T.; Asvestas, P.A.; Matsopoulos, G.K.)
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 (float image) using the proposed algorithm and applying an affine geometrical transformation towards automatic registration. The performance of the proposed algorithm is evaluated against a well-known method for automatic correspondence, in terms of the registration accuracy. Qualitative and quantitative results on registering 24 dental pairs showed that the proposed algorithm outperforms the other method for automatic correspondence
Sponsorship	IEEE EMB
Starting Page	1421
Ending Page	1424
File Size	380982
Page Count	4
File Format	PDF
ISBN	1424400325
ISSN	1557170X
DOI	10.1109/IEMBS.2006.260676
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dentistry Image registration Geometry Diagnostic radiography Standardization Cities and towns USA Councils Radiology Bone diseases Teeth enhanced hexagonal center-based inner search Automatic point extraction automatic correspondence dental image registration
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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