Morales Martínez, 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. https://doi.org/10.1109/TMI.2013.2238244
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/44379
Title:
|
Automatic Detection of Optic Disc Based on PCA and Mathematical Morphology
|
Author:
|
Morales Martínez, Sandra
Naranjo Ornedo, Valeriana
Angulo Lopez, Jesus
Alcañiz Raya, Mariano Luis
|
UPV Unit:
|
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
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica
|
Issued date:
|
|
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 ...[+]
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.
[-]
|
Subjects:
|
Generalized distance function
,
Geodesic transformation
,
Optic disc
,
Principal component analysis
,
Watershed transformation
|
Copyrigths:
|
Reserva de todos los derechos
|
Source:
|
IEEE Transactions on Medical Imaging. (issn:
0278-0062
)
|
DOI:
|
10.1109/TMI.2013.2238244
|
Publisher:
|
Institute of Electrical and Electronics Engineers (IEEE)
|
Publisher version:
|
http://dx.doi.org/10.1109/TMI.2013.2238244
|
Project ID:
|
info:eu-repo/grantAgreement/MEC//SEJ2006-14301/ES/NUEVAS TECNOLOGIAS DE LA INFORMACION Y LA COMUNICACION: INTEGRACION Y CONSOLIDACION DE SU USO EN CIENCIAS SOCIALES PARA MEJORAR LA SALUD, LA CALIDAD DE VIDA Y EL BIENESTAR./
info:eu-repo/grantAgreement/GVA//PROMETEO08%2F2008%2F157/ES/Promoción del bienestar a través de las tecnologías de la información y comunicación (probientic)/
info:eu-repo/grantAgreement/IMPIVA//IMIDTA%2F2010%2F47/
|
Thanks:
|
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 ...[+]
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).
[-]
|
Type:
|
Artículo
|