Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/41431
Title: Filtering and segmentation of retinal OCT images
Authors: Alemán-Flores, Miguel 
Alemán-Flores, Rafael
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Issue Date: 2018
Journal: Lecture Notes in Computer Science 
Conference: 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017 
Abstract: 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: 9783319747262
ISSN: 0302-9743
DOI: 10.1007/978-3-319-74727-9_34
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743], v. 10672 LNCS, p. 289-296
Appears in Collections:Actas de congresos
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