Enhanced Glaucoma Detection in Fundus Images Using CNNs with Retinex and Color Correction
Enhanced Glaucoma Detection in Fundus Images Using CNNs with Retinex and Color Correction |
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| © 2025 by IJETT Journal | ||
| Volume-73 Issue-9 |
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| Year of Publication : 2025 | ||
| Author : Upasana Mishra, Jagdish Raikwal | ||
| DOI : 10.14445/22315381/IJETT-V73I9P110 | ||
How to Cite?
Upasana Mishra, Jagdish Raikwal,"Enhanced Glaucoma Detection in Fundus Images Using CNNs with Retinex and Color Correction", International Journal of Engineering Trends and Technology, vol. 73, no. 9, pp.100-113, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I9P110
Abstract
Glaucoma leads to an unequivocal, irreversible blindness all over the world. In 2020, there were an estimated 80 million glaucoma cases. Complex screening methods and a lack of human resources create delays that are contributing to global vision loss. An automatic, efficient system for the detection of the affected area of glaucoma should be designed, which will overcome the drawbacks of manual methods. Most existing machine learning algorithms are primarily used as a prediction tool, which makes it difficult for doctors, patients, and other practitioners in the medical field to understand how the data is processed for analysis and decision-making. In this article, a CNN-based Retinex framework with a colour correction method is developed to overcome these issues. The proposed method combines the CNN and general loss function and color correc-tion for improving the appearance of fundus images to restore the original colors and remove the illumination effects. Meth-ods: This method uses statistical tests in dataset preprocessing. The framework is presented with concrete diagrams and mathematical notation, which will lead to reproducible results. The framework developed here, in conjunction of demonstration, may be expanded to automated diagnostic tools for glaucoma for use in clinical practice.
Keywords
Convolutional Neural Network, Color Correction Algorithm, Deep Neural Network, Glaucoma Detection, Retinex.
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