dc.creator | Díaz Pernil, Daniel | es |
dc.creator | Fondón García, Irene | es |
dc.creator | Peña Cantillana, Francisco | es |
dc.creator | Gutiérrez Naranjo, Miguel Ángel | es |
dc.date.accessioned | 2018-05-14T09:48:47Z | |
dc.date.available | 2018-05-14T09:48:47Z | |
dc.date.issued | 2016-11 | |
dc.identifier.citation | Díaz Pernil, D., Fondón García, I., Peña Cantillana, F. y Gutiérrez Naranjo, M.Á. (2016). Fully automatized parallel segmentation of the optic disc in retinal fundus images. Pattern Recognition Letters, 83 (1), 99-107. | |
dc.identifier.issn | 0167-8655 | es |
dc.identifier.uri | https://hdl.handle.net/11441/74559 | |
dc.description.abstract | This paper presents a fully automatic parallel software for the localization of the optic disc (OD) in retinal fundus color images. A new method has been implemented with the Graphics Processing Units (GPU) technology. Image edges are extracted using a new operator, called AGP-color segmentator. The resulting image is binarized with Hamadani’s technique and, finally, a new algorithm called Hough circle cloud is applied for the detection of the OD. The reliability of the tool has been tested with 129 images from the public databases DRIVE and DIARETDB1 obtaining an average accuracy of 99.6% and a mean consumed time per image of 7.6 and 16.3 s respectively. A comparison with several state-of-the-art algorithms shows that our algorithm represents a significant improvement in terms of accuracy and efficiency. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2012-37434 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Pattern Recognition Letters, 83 (1), 99-107. | |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Optic disc | es |
dc.subject | Hough transform | es |
dc.subject | Parallel image processing | es |
dc.subject | GPU | es |
dc.title | Fully automatized parallel segmentation of the optic disc in retinal fundus images | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada I | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIN2012-37434 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0167865516300794 | es |
dc.identifier.doi | 10.1016/j.patrec.2016.04.025 | es |
dc.contributor.group | Universidad de Sevilla. FQM296:Topología Computacional y Matemática Aplicada | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computacion Natural | es |
idus.format.extent | 9 | es |
dc.journaltitle | Pattern Recognition Letters | es |
dc.publication.volumen | 83 | es |
dc.publication.issue | 1 | es |
dc.publication.initialPage | 99 | es |
dc.publication.endPage | 107 | es |
dc.identifier.sisius | 21027019 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | |