A Genetic Algorithm for Adaptive Tomography of Elliptical Objects

Autores
Venere, Marcelo Javier; Hstau, Liao; Clausse, Alejandro
Año de publicación
2000
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A probabilistic algorithm for on-line tomographic reconstruction of ellipse-like images is presented. The algorithm takes advantage of the characteristic preferential direction of the objects, constructing a guidance function to select the angles for subsequent radiographic projections. The simulation results confirm that the technique reduces the number of projections required to achieve a given quality limit.
Fil: Venere, Marcelo Javier. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina
Fil: Hstau, Liao. Comisión Nacional de Energía Atómica. Fundación José A. Balseiro; Argentina
Fil: Clausse, Alejandro. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Materia
ADAPTATIVE RECONSTRUCTION
GENETIC ALGORITHM
MUTATION FILTER
TOMOGRAPHY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/131842
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/131842
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A Genetic Algorithm for Adaptive Tomography of Elliptical ObjectsVenere, Marcelo JavierHstau, LiaoClausse, AlejandroADAPTATIVE RECONSTRUCTIONGENETIC ALGORITHMMUTATION FILTERTOMOGRAPHYhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1A probabilistic algorithm for on-line tomographic reconstruction of ellipse-like images is presented. The algorithm takes advantage of the characteristic preferential direction of the objects, constructing a guidance function to select the angles for subsequent radiographic projections. The simulation results confirm that the technique reduces the number of projections required to achieve a given quality limit.Fil: Venere, Marcelo Javier. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; ArgentinaFil: Hstau, Liao. Comisión Nacional de Energía Atómica. Fundación José A. Balseiro; ArgentinaFil: Clausse, Alejandro. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; ArgentinaInstitute of Electrical and Electronics Engineers2000-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/131842Venere, Marcelo Javier; Hstau, Liao; Clausse, Alejandro; A Genetic Algorithm for Adaptive Tomography of Elliptical Objects; Institute of Electrical and Electronics Engineers; Ieee Signal Processing Letters; 7; 7; 7-2000; 176-1781070-99081558-2361CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/847361info:eu-repo/semantics/altIdentifier/doi/10.1109/97.847361info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:00:19Zoai:ri.conicet.gov.ar:11336/131842instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:00:20.21CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Genetic Algorithm for Adaptive Tomography of Elliptical Objects
title A Genetic Algorithm for Adaptive Tomography of Elliptical Objects
spellingShingle A Genetic Algorithm for Adaptive Tomography of Elliptical Objects
Venere, Marcelo Javier
ADAPTATIVE RECONSTRUCTION
GENETIC ALGORITHM
MUTATION FILTER
TOMOGRAPHY
title_short A Genetic Algorithm for Adaptive Tomography of Elliptical Objects
title_full A Genetic Algorithm for Adaptive Tomography of Elliptical Objects
title_fullStr A Genetic Algorithm for Adaptive Tomography of Elliptical Objects
title_full_unstemmed A Genetic Algorithm for Adaptive Tomography of Elliptical Objects
title_sort A Genetic Algorithm for Adaptive Tomography of Elliptical Objects
dc.creator.none.fl_str_mv Venere, Marcelo Javier
Hstau, Liao
Clausse, Alejandro
author Venere, Marcelo Javier
author_facet Venere, Marcelo Javier
Hstau, Liao
Clausse, Alejandro
author_role author
author2 Hstau, Liao
Clausse, Alejandro
author2_role author
author
dc.subject.none.fl_str_mv ADAPTATIVE RECONSTRUCTION
GENETIC ALGORITHM
MUTATION FILTER
TOMOGRAPHY
topic ADAPTATIVE RECONSTRUCTION
GENETIC ALGORITHM
MUTATION FILTER
TOMOGRAPHY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A probabilistic algorithm for on-line tomographic reconstruction of ellipse-like images is presented. The algorithm takes advantage of the characteristic preferential direction of the objects, constructing a guidance function to select the angles for subsequent radiographic projections. The simulation results confirm that the technique reduces the number of projections required to achieve a given quality limit.
Fil: Venere, Marcelo Javier. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina
Fil: Hstau, Liao. Comisión Nacional de Energía Atómica. Fundación José A. Balseiro; Argentina
Fil: Clausse, Alejandro. Comisión Nacional de Energía Atómica; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
description A probabilistic algorithm for on-line tomographic reconstruction of ellipse-like images is presented. The algorithm takes advantage of the characteristic preferential direction of the objects, constructing a guidance function to select the angles for subsequent radiographic projections. The simulation results confirm that the technique reduces the number of projections required to achieve a given quality limit.
publishDate 2000
dc.date.none.fl_str_mv 2000-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/131842
Venere, Marcelo Javier; Hstau, Liao; Clausse, Alejandro; A Genetic Algorithm for Adaptive Tomography of Elliptical Objects; Institute of Electrical and Electronics Engineers; Ieee Signal Processing Letters; 7; 7; 7-2000; 176-178
1070-9908
1558-2361
CONICET Digital
CONICET
url http://hdl.handle.net/11336/131842
identifier_str_mv Venere, Marcelo Javier; Hstau, Liao; Clausse, Alejandro; A Genetic Algorithm for Adaptive Tomography of Elliptical Objects; Institute of Electrical and Electronics Engineers; Ieee Signal Processing Letters; 7; 7; 7-2000; 176-178
1070-9908
1558-2361
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/847361
info:eu-repo/semantics/altIdentifier/doi/10.1109/97.847361
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269632731283456
score 13.13397

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