- -

Automatic Detection of Optic Disc Based on PCA and Mathematical Morphology

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Automatic Detection of Optic Disc Based on PCA and Mathematical Morphology

Show simple item record

Files in this item

dc.contributor.author Morales Martínez, Sandra es_ES
dc.contributor.author Naranjo Ornedo, Valeriana es_ES
dc.contributor.author Angulo Lopez, Jesus es_ES
dc.contributor.author Alcañiz Raya, Mariano Luis es_ES
dc.date.accessioned 2014-11-18T12:29:11Z
dc.date.available 2014-11-18T12:29:11Z
dc.date.issued 2013-04
dc.identifier.issn 0278-0062
dc.identifier.uri http://hdl.handle.net/10251/44379
dc.description.abstract The algorithm proposed in this paper allows to automatically segment the optic disc from a fundus image. The goal is to facilitate the early detection of certain pathologies and to fully automate the process so as to avoid specialist intervention. The method proposed for the extraction of the optic disc contour is mainly based on mathematical morphology along with principal component analysis (PCA). It makes use of different operations such as generalized distance function (GDF), a variant of the watershed transformation, the stochastic watershed, and geodesic transformations. The input of the segmentation method is obtained through PCA. The purpose of using PCA is to achieve the grey-scale image that better represents the original RGB image. The implemented algorithm has been validated on five public databases obtaining promising results. The average values obtained (a Jaccard s and Dice s coefficients of 0.8200 and 0.8932, respectively, an accuracy of 0.9947, and a true positive and false positive fractions of 0.9275 and 0.0036) demonstrate that this method is a robust tool for the automatic segmentation of the optic disc. Moreover, it is fairly reliable since it works properly on databases with a large degree of variability and improves the results of other state-of-the-art methods. es_ES
dc.description.sponsorship This work was supported in part by the project IMIDTA/2010/47 and in part by projects Consolider-C (SEJ2006-14301/PSIC), "CIBER of Physiopathology of Obesity and Nutrition, an initiative of ISCIII" and Excellence Research Program PROMETEO (Generalitat Valenciana. Conselleria de Educacion, 2008-157). en_EN
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation project Consolider-C "CIBER of Physiopathology of Obesity and Nutrition, an initiative of ISCIII" (Generalitat Valenciana. Conselleria de Educacion) SEJ2006-14301/PSIC es_ES
dc.relation project Excellence Research Program PROMETEO (Generalitat Valenciana. Conselleria de Educacion) 2008-157 es_ES
dc.relation IMIDTA/2010/47 es_ES
dc.relation.ispartof IEEE Transactions on Medical Imaging es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Generalized distance function es_ES
dc.subject Geodesic transformation es_ES
dc.subject Optic disc es_ES
dc.subject Principal component analysis es_ES
dc.subject Watershed transformation es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title Automatic Detection of Optic Disc Based on PCA and Mathematical Morphology es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TMI.2013.2238244
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.description.bibliographicCitation Morales Martinez, S.; Naranjo Ornedo, V.; Angulo Lopez, J.; Alcañiz Raya, ML. (2013). Automatic Detection of Optic Disc Based on PCA and Mathematical Morphology. IEEE Transactions on Medical Imaging. 32(4):786-796. doi:10.1109/TMI.2013.2238244 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/TMI.2013.2238244 es_ES
dc.description.upvformatpinicio 786 es_ES
dc.description.upvformatpfin 796 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 32 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 246516


This item appears in the following Collection(s)

Show simple item record