DocumentCode :
698660
Title :
Graph-theoretic image registration using prior examples
Author :
Sabuncu, Mert Rory ; Ramadge, Peter J.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
fYear :
2005
fDate :
4-8 Sept. 2005
Firstpage :
1
Lastpage :
4
Abstract :
Information theoretic image and volume registration is currently of interest as a method for multi-modal alignment. It has been suggested that it is useful to incorporate information obtained from previous registrations into these methods to improve future registration performance. In this paper we examine how this can be done when using a graph theoretic estimator of entropy. Our main contribution is a method for incorporating prior information in a natural way and with minimal computational overhead into a registration measure based on a Euclidean minimal spanning tree estimate of entropy.
Keywords :
image registration; trees (mathematics); Euclidean minimal spanning tree estimate; graph theoretic estimator; graph-theoretic image registration; information theoretic image; multi-modal alignment; volume registration; Atmospheric measurements; Current measurement; Entropy; Image registration; Joints; Training; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
Type :
conf
Filename :
7078252
Link To Document :
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