Connectivity-based segmentation of retinal vessels in eye fundus images
© Sociedad Española de Óptica. A new unsupervised method for segmentation of objects of diverse nature with the common feature of connectivity (e.g. branching trees or net-shaped objects) is proposed. A preferred application to the vasculature segmentation of retinal images has been illustrated usin...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/113942 |
| Acceso en línea: | https://hdl.handle.net/2117/113942 https://dx.doi.org/10.7149/OPA.50.4.49070 |
| Access Level: | acceso abierto |
| Palabra clave: | Fundus oculi Retina -- Imaging Diagnostic imaging -- Digital techniques Blood vessel segmentation Computer-aided diagnosis Digital image analysis Eye fundus image Retinal vasculature Fons de l'ull Retina -- Imatgeria Imatgeria per al diagnòstic -- Tècniques digitals Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Oftalmologia Àrees temàtiques de la UPC::Ciències de la visió |
| Sumario: | © Sociedad Española de Óptica. A new unsupervised method for segmentation of objects of diverse nature with the common feature of connectivity (e.g. branching trees or net-shaped objects) is proposed. A preferred application to the vasculature segmentation of retinal images has been illustrated using images from DRIVE database. In the pre-processing stage, the method overcomes the common problem of non-uniform illumination of eye fundus images. The method follows with an iterative algorithm that starts with a seed and adds, at each step, a new vessel segment connected to the previously segmented part. The result preserves the connectivity as a distinct feature of the retinal vessel tree. The segmentation performance is evaluated through common signal detection metrics: sensitivity, specificity and accuracy. |
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