Medical image registration based on BSP and quad-tree partitioning
dc.contributor.author
dc.date.accessioned
2022-09-05T09:56:37Z
dc.date.available
2022-09-05T09:56:37Z
dc.date.issued
2006
dc.identifier.issn
0302-9743
dc.identifier.uri
dc.description.abstract
This paper presents a study of image simplification techniques as a first stage to define a multiresolution registration framework. We propose here a new approach for image registration based on the partitioning of the source images in binary-space (BSP) and quad-tree structures. These partitioned images have been obtained with a maximum mutual information gain algorithm. Multimodal registration experiments with downsampled, BSP and quadtree partitioned images show an outstanding accuracy and robustness by using BSP images, since the grid effects are drastically reduced. The obtained results indicate that BSP partitioning can provide a suitable framework for multiresolution registration
dc.format.extent
8 p.
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application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.relation.isformatof
Versió postprint del document publicat a: https://doi.org/10.1007/11784012_1
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© Lecture Notes in Computer Science, 2006, vol. 4057, p. 1-8
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Articles publicats (D-IMAE)
dc.rights
Tots els drets reservats
dc.source
Bardera i Reig, Antoni Feixas Feixas, Miquel Boada, Imma Rigau Vilalta, Jaume Sbert, Mateu 2006 Medical image registration based on BSP and quad-tree partitioning Lecture Notes in Computer Science 4057 1 8
dc.subject
dc.title
Medical image registration based on BSP and quad-tree partitioning
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.type.version
info:eu-repo/semantics/acceptedVersion
dc.identifier.doi
dc.identifier.idgrec
004335
dc.type.peerreviewed
peer-reviewed
dc.identifier.eissn
1611-3349