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Pattern Analysis and Applications
Erschienen in: Pattern Analysis and Applications 2/2018

07.10.2017 | Industrial and Commercial Application

Precise segmentation of the bulbar conjunctiva for hyperaemia images

verfasst von: Luisa Sánchez Brea, Noelia Barreira Rodríguez, Antonio Mosquera González, Hugo Pena-Verdeal, Eva Yebra-Pimentel Vilar

Erschienen in: Pattern Analysis and Applications | Ausgabe 2/2018

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Abstract

Hyperaemia is an excess of blood in a tissue that causes the appearance of an unusual red hue in the affected area. It is a common occurrence in the bulbar conjunctiva, where it can be related to multiple pathologies, such as conjunctivitis or dry eye syndrome. Specialists grade hyperaemia by means of a tedious, subjective, non-repeatable and time-consuming process. These drawbacks can be solved with the automatisation of the process by means of image processing techniques. The automatic segmentation of the conjunctiva is an important part of the process, as it ensures the absence of noise in posterior stages of the methodology. However, there are several issues of illumination and focus in the input videos that difficult the process. In this work, several segmentation algorithms are proposed and compared in order to obtain an accurate location of the bulbar conjunctiva.
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Metadaten
Titel
Precise segmentation of the bulbar conjunctiva for hyperaemia images
verfasst von
Luisa Sánchez Brea
Noelia Barreira Rodríguez
Antonio Mosquera González
Hugo Pena-Verdeal
Eva Yebra-Pimentel Vilar
Publikationsdatum
07.10.2017
Verlag
Springer London
Erschienen in
Pattern Analysis and Applications / Ausgabe 2/2018
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-017-0658-z

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