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Determination of bifurcation angles of the retinal vascular tree through multiple orientation estimation based on regularized morphological openings
dc.contributor.author | Morales Martínez, Sandra | |
dc.contributor.author | Legaz Aparicio, Alvar Ginés | |
dc.contributor.author | Naranjo Ornedo, Valeriana | |
dc.contributor.author | Verdú Monedero, Rafael | |
dc.date.accessioned | 2020-01-24T09:26:06Z | |
dc.date.available | 2020-01-24T09:26:06Z | |
dc.date.issued | 2015-01 | |
dc.identifier.citation | Morales, S.; Legaz-Aparicio, Á.; Naranjo, V. and Verdú-Monedero, R. (2015). Determination of Bifurcation Angles of the Retinal Vascular Tree through Multiple Orientation Estimation based on Regularized Morphological Openings.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 126-131. DOI: 10.5220/0005170101260131 | es_ES |
dc.identifier.isbn | 978-989-758-069-7 | |
dc.description.abstract | This paper describes a new approach to compute bifurcation angles in retinal images. This approach is based on the estimation of multiple orientations at each pixel of a gray retinal image. The main orientations are provided by directional openings whose outputs are regularized in order to extend the orientation information to the whole image. The detection of vessel bifurcations is based on the coexistence of two or more than two different main orientations at the same pixel. Once the bifurcations and crossovers has been identified, bifurcation angles are calculated. The proposed procedure of computing bifurcation angles by means of orientation estimation at all pixels of the gray level image is much more stable than those methods which are based on the skeleton of the vascular tree, since a slight variation of a pixel of the skeleton can produce a significant change in the angle value | es_ES |
dc.description.sponsorship | This work was supported by Ministerio de Economía y Competitividad of Spain,Project ACRIMA (TIN2013-46751-R). | es_ES |
dc.format | application/pdf | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | SCITEPRESS (Science and Technology Publications, Lda) | es_ES |
dc.relation.ispartof | Estimación de la orientación múltiple mediante un banco de filtros y su uso en el desarrollo de aplicaciones de procesado de imagen | es_ES |
dc.relation.uri | http://hdl.handle.net/10317/8312 | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.rights | © Copyright 2015 SCITEPRESS (Science and Technology Publications, Lda) | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.title | Determination of bifurcation angles of the retinal vascular tree through multiple orientation estimation based on regularized morphological openings | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.subject.other | Teoría de la Señal y las Comunicaciones | es_ES |
dc.subject | Retinal image | es_ES |
dc.subject | Bifurcation angle | es_ES |
dc.subject | Multiple orientation estimation | es_ES |
dc.subject | Regularized morphological opening | es_ES |
dc.identifier.uri | http://hdl.handle.net/10317/8335 | |
dc.identifier.doi | 10.5220/0005170101260131 | |
dc.identifier.url | https://www.scitepress.org/PublicationsDetail.aspx?ID=TrtHOwc8VwU=&t=1 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.projectID | Ministerio de Economia y Competitividad of Spain, Project ACRIMA TIN2013-46751-R | es_ES |
dc.subject.unesco | 2209.90 Tratamiento Digital. Imágenes | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
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