Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/119015
Title: Image Enhancement in Retinopathy of Prematurity
Authors: Hasal, Martin
Nowaková, Jana
Hernández-Sosa, Daniel 
Timkovič, Juraj
UNESCO Clasification: 1203 Ciencia de los ordenadores
220990 Tratamiento digital. Imágenes
Issue Date: 2022
Publisher: Springer 
Journal: Lecture Notes in Networks and Systems 
Conference: 14th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2022 
Abstract: Retinopathy of prematurity (ROP) is an ocular disease caused by abnormal retinal blood vessel growth of premature infants. All premature infants who fall within a screening protocol (birth weight less than 1500 g and gestational age below 32 weeks) are diagnosed by an ophthalmological specialist for ROP. Early recognition of ROP and other diseases of premature infants leads to better treatment. The examination is provided by special cameras, which take a snapshot of the posterior segment of the eye (fundus). The taken retinal images are not always perfect. The images can be dark, with low contrast, or difficult to distinguish necessary patterns for diagnosis. This article examines the image enhancement methods of the fundus, such as transformation to green or grayscale channel, adaptive histogram equalisation methods, Gaussian smoothing, and contrast enhancement. These methods improve the image quality in computer-aided diagnosis of the fundus of prematurely born infants.
URI: http://hdl.handle.net/10553/119015
ISBN: 978-3-031-14626-8
ISSN: 2367-3370
DOI: 10.1007/978-3-031-14627-5_43
Source: Lecture Notes in Networks and Systems [ISSN 2367-3370], v. 527 LNNS, p. 422-431, (Enero 2022)
Appears in Collections:Actas de congresos
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