Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/41431
Título: Filtering and segmentation of retinal OCT images
Autores/as: Alemán-Flores, Miguel 
Alemán Flores, Rafael 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
Fecha de publicación: 2018
Editor/a: Springer
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017 
Resumen: This work presents a method for the segmentation of optical coherence tomography images of the retina. Before segmenting the tomography, anisotropic diffusion is applied to reduce noise, but preserve the relevant edges. Afterward, the intensity profile of the images is analyzed to extract an initial approximation for the segmentation of three bands within the retina. Finally, a combination of attraction and regularization terms is used to refine the segmentation by fitting the limits of the bands to the highest gradients and smoothing their shapes to make them more regular. From the bands extracted in the different slices of the tomography, a three-dimensional reconstruction is performed for a better visualization of the results.
URI: http://hdl.handle.net/10553/41431
ISBN: 978-3-319-74726-2
ISSN: 0302-9743
DOI: 10.1007/978-3-319-74727-9_34
Fuente: Computer Aided Systems Theory – EUROCAST 2017. EUROCAST 2017. Lecture Notes in Computer Science, v. 10672 LNCS, p. 289-296
Colección:Capítulo de libro
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