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...
- 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/
| id |
UTB2_71fafc8d6a9b000e8679e3fbc25c1749 |
|---|---|
| oai_identifier_str |
oai:repositorio.utb.edu.co:20.500.12585/9053 |
| network_acronym_str |
UTB2 |
| network_name_str |
Repositorio Institucional UTB |
| 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 |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_c94f |
| 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 |
| bitstream.url.fl_str_mv |
https://repositorio.utb.edu.co/bitstream/20.500.12585/9053/1/MiniProdInv.png |
| bitstream.checksum.fl_str_mv |
0cb0f101a8d16897fb46fc914d3d7043 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
| repository.name.fl_str_mv |
Repositorio Institucional UTB |
| repository.mail.fl_str_mv |
repositorioutb@utb.edu.co |
| _version_ |
1814021797609209856 |