DocumentCode :
1266879
Title :
Binary morphological shape-based interpolation applied to 3-D tooth reconstruction
Author :
Bors, Adrian G. ; Kechagias, Lefteris ; Pitas, Ioannis
Author_Institution :
Dept. of Informatics, Thessaloniki Univ., Greece
Volume :
21
Issue :
2
fYear :
2002
Firstpage :
100
Lastpage :
108
Abstract :
In this paper, we propose an interpolation algorithm using a mathematical morphology morphing approach. The aim of this algorithm is to reconstruct the n-dimensional object from a group of (n-1)-dimensional sets representing sections of that object. The morphing transformation modifies pairs of consecutive sets such that they approach in shape and size. The interpolated set is achieved when the two consecutive sets are made idempotent by the morphing transformation. We prove the convergence of the morphological morphing. The entire object is modeled by successively interpolating a certain number of intermediary sets between each two consecutive given sets. We apply the interpolation algorithm for three-dimensional tooth reconstruction.
Keywords :
dentistry; image morphing; image reconstruction; interpolation; mathematical morphology; medical image processing; 3-D tooth reconstruction; binary morphological shape-based interpolation; convergence; digitized slices; endodontology; geometrically constrained interpolation; interpolation algorithm; mathematical morphology morphing approach; morphing transformation; Convergence; Data mining; Image reconstruction; Informatics; Interpolation; Magnetic resonance imaging; Shape; Skeleton; Surface morphology; Teeth; Algorithms; Computer Simulation; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Models, Statistical; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Tooth;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.993129
Filename :
993129
Link To Document :
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