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Published in: Arabian Journal for Science and Engineering 9/2021

12-02-2021 | Research Article-Computer Engineering and Computer Science

Enhancement Method for Color Retinal Fundus Images Based on Structural Details and Illumination Improvements

Authors: Bilal Bataineh, Khaled H. Almotairi

Published in: Arabian Journal for Science and Engineering | Issue 9/2021

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Abstract

Retinal images show an essential role in Ophthalmology to diagnosis wide set of diseases. In this direction, using retinal images in computerized techniques increases the ability of diagnosis in fast time effectively. However, some eye diseases and capturing conditions produce low-quality retinal images, which reduces the diagnosis ability for machines and humans. To solve that, several works have been proposed to enhance retinal images. But they show a lot of negative observations, especially with color images of retina. In this paper, a novel enhancement algorithm for color retinal images is proposed. It consists of three stages; firstly, the appearance of visual details is increased by enhancing the contrast of structural details of retinal image using details enhanced and Bilateral filters. Then, a novel uneven illumination correction method is proposed to solve the uneven illumination problem adaptively. Finally, the advantages of both previous stages are combined using HSV color model to produce the final enhanced retinal images. DRIVE and STARE benchmark datasets are used to conduct experiments. The results were compared with histogram Equalized (HE), Contrast Stretching (CS), the adaptive histogram equalization (CLAHE) and Zhou’s method retinal enhancement methods. In conclusion, the results show that the proposed method shows high performance compared with the corresponding enhancement methods.

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Metadata
Title
Enhancement Method for Color Retinal Fundus Images Based on Structural Details and Illumination Improvements
Authors
Bilal Bataineh
Khaled H. Almotairi
Publication date
12-02-2021
Publisher
Springer Berlin Heidelberg
Published in
Arabian Journal for Science and Engineering / Issue 9/2021
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-05429-6

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