Implementation of an image based focusing algorithm for non-mydriatic retinal imaging

Retinal photography is important for the assessment of eye diseases. The task of fine focusing the image is demanding and lack of focus is often the cause of suboptimal photographs. The advent of digital cameras has provided the opportunity to automate the focusing process. In this work, we propose...

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Autores:
Tipo de recurso:
Fecha de publicación:
2014
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/9053
Acceso en línea:
https://hdl.handle.net/20.500.12585/9053
Palabra clave:
Autofocus
Image processing
Non-mydriatic
Retinal imaging
Algorithms
Discrete cosine transforms
Image processing
Ophthalmology
Photography
Auto-focus
Auto-focus system
Auto-focusing
Focusing algorithm
Image anisotropies
Non-mydriatic
Retinal imaging
Search strategies
Focusing
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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repository_id_str
spelling Marrugo A.G.Marrugo A.G.Millan M.S.Abril H.C.2020-03-26T16:32:51Z2020-03-26T16:32:51Z20142014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings9781479979325https://hdl.handle.net/20.500.12585/905310.1109/CIIMA.2014.6983425Universidad Tecnológica de BolívarRepositorio UTB2432983930072014663996603209063Retinal photography is important for the assessment of eye diseases. The task of fine focusing the image is demanding and lack of focus is often the cause of suboptimal photographs. The advent of digital cameras has provided the opportunity to automate the focusing process. In this work, we propose an auto-focus system for non-mydriatic retinal imaging. The core of the system is based on a robust image-based focus measure. The measure is basically a quantification of image anisotropy computed by means of the normalized discrete cosine transform. Additionally, we optimize the autofocusing method by evaluating different focus search strategies. Encouraging experimental results reveal that the method is able to identify the best focus reliably with optimal speed. © 2014 IEEE.Universidad Tecnologica de BolivarRecurso electrónicoapplication/pdfengInstitute of Electrical and Electronics Engineers Inc.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84930999583&doi=10.1109%2fCIIMA.2014.6983425&partnerID=40&md5=639af962e61663e73fff0e34ba90531bScopus2-s2.0-849309995832014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014Implementation of an image based focusing algorithm for non-mydriatic retinal imaginginfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fAutofocusImage processingNon-mydriaticRetinal imagingAlgorithmsDiscrete cosine transformsImage processingOphthalmologyPhotographyAuto-focusAuto-focus systemAuto-focusingFocusing algorithmImage anisotropiesNon-mydriaticRetinal imagingSearch strategiesFocusing22 October 2014 through 24 October 2014Bernardes, R., Serranho, P., Lobo, C., Digital ocular fundus imaging: A review (2011) Ophthalmologica, 226, pp. 161-181Marrugo, A.G., Millan, M.S., Retinal image analysis oriented to the clinical task (2014) Electronic Letters on Computer Vision and Image Analysis, 13, pp. 54-55Moscaritolo, M., Jampel, H., Knezevich, F., Zeimer, R., An image based auto-focusing algorithm for digital fundus photography (2009) Medical Imaging, IEEE Transactions on, 28, pp. 1703-1707Marrugo, A.G., Millan, M.S., Sorel, M., Sroubek, F., Restoration of retinal images with space-variant blur (2014) J. Biomed. Opt., 19, p. 016023Marrugo, A.G., Millan, M.S., Cristobal, G., Gabarda, S., Abril, H.C., Anisotropy-based robust focus measure for non-mydriatic retinal imaging (2012) J. Biomed. Opt., 17, p. 076021Tsai, D.-C., Chen, H., Reciprocal focus profile (2012) Image Processing, IEEE Transactions on, 21, pp. 459-468http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9053/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9053oai:repositorio.utb.edu.co:20.500.12585/90532021-02-02 15:11:36.089Repositorio Institucional UTBrepositorioutb@utb.edu.co
dc.title.none.fl_str_mv Implementation of an image based focusing algorithm for non-mydriatic retinal imaging
title Implementation of an image based focusing algorithm for non-mydriatic retinal imaging
spellingShingle Implementation of an image based focusing algorithm for non-mydriatic retinal imaging
Autofocus
Image processing
Non-mydriatic
Retinal imaging
Algorithms
Discrete cosine transforms
Image processing
Ophthalmology
Photography
Auto-focus
Auto-focus system
Auto-focusing
Focusing algorithm
Image anisotropies
Non-mydriatic
Retinal imaging
Search strategies
Focusing
title_short Implementation of an image based focusing algorithm for non-mydriatic retinal imaging
title_full Implementation of an image based focusing algorithm for non-mydriatic retinal imaging
title_fullStr Implementation of an image based focusing algorithm for non-mydriatic retinal imaging
title_full_unstemmed Implementation of an image based focusing algorithm for non-mydriatic retinal imaging
title_sort Implementation of an image based focusing algorithm for non-mydriatic retinal imaging
dc.contributor.editor.none.fl_str_mv Marrugo A.G.
dc.subject.keywords.none.fl_str_mv Autofocus
Image processing
Non-mydriatic
Retinal imaging
Algorithms
Discrete cosine transforms
Image processing
Ophthalmology
Photography
Auto-focus
Auto-focus system
Auto-focusing
Focusing algorithm
Image anisotropies
Non-mydriatic
Retinal imaging
Search strategies
Focusing
topic Autofocus
Image processing
Non-mydriatic
Retinal imaging
Algorithms
Discrete cosine transforms
Image processing
Ophthalmology
Photography
Auto-focus
Auto-focus system
Auto-focusing
Focusing algorithm
Image anisotropies
Non-mydriatic
Retinal imaging
Search strategies
Focusing
description Retinal photography is important for the assessment of eye diseases. The task of fine focusing the image is demanding and lack of focus is often the cause of suboptimal photographs. The advent of digital cameras has provided the opportunity to automate the focusing process. In this work, we propose an auto-focus system for non-mydriatic retinal imaging. The core of the system is based on a robust image-based focus measure. The measure is basically a quantification of image anisotropy computed by means of the normalized discrete cosine transform. Additionally, we optimize the autofocusing method by evaluating different focus search strategies. Encouraging experimental results reveal that the method is able to identify the best focus reliably with optimal speed. © 2014 IEEE.
publishDate 2014
dc.date.issued.none.fl_str_mv 2014
dc.date.accessioned.none.fl_str_mv 2020-03-26T16:32:51Z
dc.date.available.none.fl_str_mv 2020-03-26T16:32:51Z
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
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dc.type.driver.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.hasVersion.none.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.spa.none.fl_str_mv Conferencia
status_str publishedVersion
dc.identifier.citation.none.fl_str_mv 2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings
dc.identifier.isbn.none.fl_str_mv 9781479979325
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/9053
dc.identifier.doi.none.fl_str_mv 10.1109/CIIMA.2014.6983425
dc.identifier.instname.none.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.none.fl_str_mv Repositorio UTB
dc.identifier.orcid.none.fl_str_mv 24329839300
7201466399
6603209063
identifier_str_mv 2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings
9781479979325
10.1109/CIIMA.2014.6983425
Universidad Tecnológica de Bolívar
Repositorio UTB
24329839300
7201466399
6603209063
url https://hdl.handle.net/20.500.12585/9053
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.conferencedate.none.fl_str_mv 22 October 2014 through 24 October 2014
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessRights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
dc.rights.cc.none.fl_str_mv Atribución-NoComercial 4.0 Internacional
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Atribución-NoComercial 4.0 Internacional
http://purl.org/coar/access_right/c_16ec
eu_rights_str_mv restrictedAccess
dc.format.medium.none.fl_str_mv Recurso electrónico
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930999583&doi=10.1109%2fCIIMA.2014.6983425&partnerID=40&md5=639af962e61663e73fff0e34ba90531b
Scopus2-s2.0-84930999583
institution Universidad Tecnológica de Bolívar
dc.source.event.none.fl_str_mv 2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014
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