dc.contributorMarrugo A.G.
dc.creatorMarrugo A.G.
dc.creatorMillan M.S.
dc.creatorAbril H.C.
dc.date.accessioned2020-03-26T16:32:51Z
dc.date.accessioned2022-09-28T20:29:21Z
dc.date.available2020-03-26T16:32:51Z
dc.date.available2022-09-28T20:29:21Z
dc.date.created2020-03-26T16:32:51Z
dc.date.issued2014
dc.identifier2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings
dc.identifier9781479979325
dc.identifierhttps://hdl.handle.net/20.500.12585/9053
dc.identifier10.1109/CIIMA.2014.6983425
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio UTB
dc.identifier24329839300
dc.identifier7201466399
dc.identifier6603209063
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3729355
dc.description.abstractRetinal 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.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation22 October 2014 through 24 October 2014
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rightsAtribución-NoComercial 4.0 Internacional
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84930999583&doi=10.1109%2fCIIMA.2014.6983425&partnerID=40&md5=639af962e61663e73fff0e34ba90531b
dc.sourceScopus2-s2.0-84930999583
dc.source2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014
dc.titleImplementation of an image based focusing algorithm for non-mydriatic retinal imaging


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