Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47449
Title: Fast entropy-based nonrigid registration
Authors: Suárez, Eduardo
Santana, Jose A. 
Rovaris, Eduardo 
Westin, Carl Fredrik
Ruiz-Alzola, Juan 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Mutual Information
Image Registration
Maximization
Issue Date: 2004
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 9th International Workshop on Computer Aided Systems Theory 
Abstract: Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structures. Spatial normalization, or in other words, image registration, is still a big hurdle for the image processing community. Its formulation often relies on the fact that correspondence is achieved when a similarity measure is maximized. This paper presents a novel similarity measuring technique based on a coupling function inside a template matching framework. It allows using any entropy-based similarity metric, which is crucial for registration using different acquisition devices. Results are presented using this technique on a multiresolution incremental scheme.
URI: http://hdl.handle.net/10553/47449
ISBN: 3-540-20221-8
ISSN: 0302-9743
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 2809, p. 607-615
Appears in Collections:Artículos
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