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. 2023 May 3;13(1):7172.
doi: 10.1038/s41598-023-34212-w.

Retinal image enhancement based on color dominance of image

Priyadharsini C #  1 , Jagadeesh Kannan R #  2
Affiliations

Retinal image enhancement based on color dominance of image

Priyadharsini C et al. Sci Rep. .

Abstract

Real-time fundus images captured to detect multiple diseases are prone to different quality issues like illumination, noise, etc., resulting in less visibility of anomalies. So, enhancing the retinal fundus images is essential for a better prediction rate of eye diseases. In this paper, we propose Lab color space-based enhancement techniques for retinal image enhancement. Existing research works does not consider the relation between color spaces of the fundus image in selecting a specific channel to perform retinal image enhancement. Our unique contribution to this research work is utilizing the color dominance of an image in quantifying the distribution of information in the blue channel and performing enhancement in Lab space followed by a series of steps to optimize overall brightness and contrast. The test set of the Retinal Fundus Multi-disease Image Dataset is used to evaluate the performance of the proposed enhancement technique in identifying the presence or absence of retinal abnormality. The proposed technique achieved an accuracy of 89.53 percent.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Flowchart of Proposed Method.
Figure 2
Figure 2
Sample images from the RFMiD dataset belonging to some of the categories. (a) Diabetic Retinopathy, (b) Chorioretinitis, (c) Myopia, (d) Exudation, (e) Retinal Pigment Epithelium Cells, (f) Central Retinal Vein Occlusion.
Figure 3
Figure 3
(a) Input image in RGB color space, (b) Output of Stage 1, (c) Output of stage 2, (d) Input image in grayscale, (e) Final output in Grayscale.
Figure 4
Figure 4
(a) Input image, (b) A section of the input image, (c) Image enhanced using the proposed technique, (d) A section of enhanced image.
See this image and copyright information in PMC

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