RT Journal Article
T1 Improvement of Retinal Images Affected by Cataracts
A1 González Amador, Enrique
A1 Arines Piferrer, Justo
A1 Charlón Cardeñoso, Pablo
A1 García Porta, Nery
A1 Abraldes, Maximino J.
A1 Acosta Plaza, Eva
K1 Retinal images
K1 Eye opacities
K1 Cataracts
K1 CLAHE
K1 RGB
K1 CIELAB
K1 HSV
AB Eye fundus images are used in clinical diagnosis for the detection and assessment of retinal disorders. When retinal images are degraded by scattering due to opacities of the eye tissues, the precise detection of abnormalities is complicated depending on the grading of the opacity. This paper presents a concept proof study on the use of the contrast limited adaptive histogram equalization (CLAHE) technique for better visualization of eye fundus  images for different levels of blurring due to different stages of cataracts. Processing is performed in three different color spaces: RGB, CIELAB and HSV, with the aim of finding which one better enhances the missed diagnostic features due to blur. The experimental results show that some fundus features not observable by naked eye can be detected in some of the space color processed with the proposed method. In this work, we also develop and provide an online image process, which allows clinicians to tune the default parameters of the algorithm for a better visualization of the characteristics of fundus images. It also allows the choice of a region of interest (ROI) within the images that provide better visualization of some features than those enhanced by the processing of the full picture.
PB MDPI
YR 2022
FD 2022
LK https://hdl.handle.net/10347/41818
UL https://hdl.handle.net/10347/41818
LA eng
NO Gonzalez-Amador, E.; Arines, J.; Charlón, P.; Garcia-Porta, N.; Abraldes, M.J.; Acosta, E. Improvement of Retinal Images Affected by Cataracts. Photonics 2022, 9, 251. https://doi.org/10.3390/photonics9040251
NO Agencia estatal de Investigación: PID2020-115909RB-100
DS Minerva
RD 29 abr 2026