Space-Variant Gabor Decomposition for Filtering 3D Medical Images

Onchis, Darian M.; Istin, Codruta; Real Jurado, Pedro

doi:10.1007/978-3-319-64698-5_38

Ponencia

dc.creator	Onchis, Darian M.	es
dc.creator	Istin, Codruta	es
dc.creator	Real Jurado, Pedro	es
dc.date.accessioned	2021-10-01T07:44:01Z
dc.date.available	2021-10-01T07:44:01Z
dc.date.issued	2017
dc.identifier.citation	Onchis, D.M., Istin, C. y Real Jurado, P. (2017). Space-Variant Gabor Decomposition for Filtering 3D Medical Images. En CAIP 2017: 17th International Conference on Computer Analysis of Images and Patterns (455-461), Ystad, Sweden: Springer.
dc.identifier.isbn	978-3-319-64697-8	es
dc.identifier.issn	0302-9743	es
dc.identifier.uri	https://hdl.handle.net/11441/126406
dc.description.abstract	This is an experimental paper in which we introduce the possibility to analyze and to synthesize 3D medical images by using multivariate Gabor frames with Gaussian windows. Our purpose is to apply a space-variant filter-like operation in the space-frequency domain to correct medical images corrupted by different types of acquisitions errors. The Gabor frames are constructed with Gaussian windows sampled on non-separable lattices for a better packing of the space-frequency plane. An implementable solution for 3D-Gabor frames with non-separable lattice is given and numerical tests on simulated data are presented.	es
dc.description.sponsorship	Austrian Science Fund (FWF) P27516	es
dc.format	application/pdf	es
dc.format.extent	7	es
dc.language.iso	eng	es
dc.publisher	Springer	es
dc.relation.ispartof	CAIP 2017: 17th International Conference on Computer Analysis of Images and Patterns (2017), pp. 455-461.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Space-Variant Gabor Decomposition for Filtering 3D Medical Images	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/publishedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)	es
dc.relation.projectID	P27516	es
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007%2F978-3-319-64698-5_38	es
dc.identifier.doi	10.1007/978-3-319-64698-5_38	es
dc.publication.initialPage	455	es
dc.publication.endPage	461	es
dc.eventtitle	CAIP 2017: 17th International Conference on Computer Analysis of Images and Patterns	es
dc.eventinstitution	Ystad, Sweden	es
dc.relation.publicationplace	Cham, Switzerland	es
dc.identifier.sisius	21357798	es
dc.contributor.funder	Austrian Science Found	es

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