Evaluación y análisis de algoritmos para el tratamiento de imágenes de campos de luz

Autores
Bizai, Gustavo; Peiretti, Facundo; Salvatelli, Adrián; Drozdowicz, Bartolomé
Año de publicación
2016
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Fundus photograph is essential for the early detection of pathologies as well as the monitoring of their evolution. Macular edema in particular is one of the most delicate ophthalmic diseases. This paper presents some methodologies for the computational treatment of images captured with a plenoptic camera fitted to a slit lamp. The slit lamp is low cost equipment, available in every ophthalmic consulting room. Strategies for decoding color light fields in 5D matrix are presented. Public access test images are used while others have been obtained during the investigation. From a single decoded picture it is possible to view the scene in different perspectives and to refocus at different depths. The results of applying various algorithms are presented and their performance is discussed in terms of processing time. The multiperspective view and focal stack generated confirm that it is feasible to use the light fields of the ocular fundus as a strategy to add 3D information to retinal images, increasing its diagnostic value. Future work will involve deepening the study of algorithms, its optimization and combination, and the processing of focal stacks to generate depth maps of the ocular fundus.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
Fondo de Ojo
fotografía plenóptica
reconstrucción 3D
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/58055
Acceder
id SEDICI_bc902e30341afb62f36e28c2f59611e8
oai_identifier_str oai:sedici.unlp.edu.ar:10915/58055
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Evaluación y análisis de algoritmos para el tratamiento de imágenes de campos de luzBizai, GustavoPeiretti, FacundoSalvatelli, AdriánDrozdowicz, BartoloméCiencias InformáticasFondo de Ojofotografía plenópticareconstrucción 3DFundus photograph is essential for the early detection of pathologies as well as the monitoring of their evolution. Macular edema in particular is one of the most delicate ophthalmic diseases. This paper presents some methodologies for the computational treatment of images captured with a plenoptic camera fitted to a slit lamp. The slit lamp is low cost equipment, available in every ophthalmic consulting room. Strategies for decoding color light fields in 5D matrix are presented. Public access test images are used while others have been obtained during the investigation. From a single decoded picture it is possible to view the scene in different perspectives and to refocus at different depths. The results of applying various algorithms are presented and their performance is discussed in terms of processing time. The multiperspective view and focal stack generated confirm that it is feasible to use the light fields of the ocular fundus as a strategy to add 3D information to retinal images, increasing its diagnostic value. Future work will involve deepening the study of algorithms, its optimization and combination, and the processing of focal stacks to generate depth maps of the ocular fundus.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2016-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf200-213http://sedici.unlp.edu.ar/handle/10915/58055spainfo:eu-repo/semantics/altIdentifier/url/http://45jaiio.sadio.org.ar/sites/default/files/CAIS-23.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7607info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:06:32Zoai:sedici.unlp.edu.ar:10915/58055Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:06:33.274SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Evaluación y análisis de algoritmos para el tratamiento de imágenes de campos de luz
title Evaluación y análisis de algoritmos para el tratamiento de imágenes de campos de luz
spellingShingle Evaluación y análisis de algoritmos para el tratamiento de imágenes de campos de luz
Bizai, Gustavo
Ciencias Informáticas
Fondo de Ojo
fotografía plenóptica
reconstrucción 3D
title_short Evaluación y análisis de algoritmos para el tratamiento de imágenes de campos de luz
title_full Evaluación y análisis de algoritmos para el tratamiento de imágenes de campos de luz
title_fullStr Evaluación y análisis de algoritmos para el tratamiento de imágenes de campos de luz
title_full_unstemmed Evaluación y análisis de algoritmos para el tratamiento de imágenes de campos de luz
title_sort Evaluación y análisis de algoritmos para el tratamiento de imágenes de campos de luz
dc.creator.none.fl_str_mv Bizai, Gustavo
Peiretti, Facundo
Salvatelli, Adrián
Drozdowicz, Bartolomé
author Bizai, Gustavo
author_facet Bizai, Gustavo
Peiretti, Facundo
Salvatelli, Adrián
Drozdowicz, Bartolomé
author_role author
author2 Peiretti, Facundo
Salvatelli, Adrián
Drozdowicz, Bartolomé
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Fondo de Ojo
fotografía plenóptica
reconstrucción 3D
topic Ciencias Informáticas
Fondo de Ojo
fotografía plenóptica
reconstrucción 3D
dc.description.none.fl_txt_mv Fundus photograph is essential for the early detection of pathologies as well as the monitoring of their evolution. Macular edema in particular is one of the most delicate ophthalmic diseases. This paper presents some methodologies for the computational treatment of images captured with a plenoptic camera fitted to a slit lamp. The slit lamp is low cost equipment, available in every ophthalmic consulting room. Strategies for decoding color light fields in 5D matrix are presented. Public access test images are used while others have been obtained during the investigation. From a single decoded picture it is possible to view the scene in different perspectives and to refocus at different depths. The results of applying various algorithms are presented and their performance is discussed in terms of processing time. The multiperspective view and focal stack generated confirm that it is feasible to use the light fields of the ocular fundus as a strategy to add 3D information to retinal images, increasing its diagnostic value. Future work will involve deepening the study of algorithms, its optimization and combination, and the processing of focal stacks to generate depth maps of the ocular fundus.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description Fundus photograph is essential for the early detection of pathologies as well as the monitoring of their evolution. Macular edema in particular is one of the most delicate ophthalmic diseases. This paper presents some methodologies for the computational treatment of images captured with a plenoptic camera fitted to a slit lamp. The slit lamp is low cost equipment, available in every ophthalmic consulting room. Strategies for decoding color light fields in 5D matrix are presented. Public access test images are used while others have been obtained during the investigation. From a single decoded picture it is possible to view the scene in different perspectives and to refocus at different depths. The results of applying various algorithms are presented and their performance is discussed in terms of processing time. The multiperspective view and focal stack generated confirm that it is feasible to use the light fields of the ocular fundus as a strategy to add 3D information to retinal images, increasing its diagnostic value. Future work will involve deepening the study of algorithms, its optimization and combination, and the processing of focal stacks to generate depth maps of the ocular fundus.
publishDate 2016
dc.date.none.fl_str_mv 2016-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/58055
url http://sedici.unlp.edu.ar/handle/10915/58055
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://45jaiio.sadio.org.ar/sites/default/files/CAIS-23.pdf
info:eu-repo/semantics/altIdentifier/issn/2451-7607
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.format.none.fl_str_mv application/pdf
200-213
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844615936656539648
score 13.070432

Publicaciones similares