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Research Paper | Computer Science | India | Volume 14 Issue 2, February 2025 | Popularity: 4.8 / 10
Early Prediction of Glaucoma Disease with a Hybrid S-CIELAB - Based Smoothing Spatial Filter and Fast Fourier Transform
Anita Madona M, Panneer Arokiaraj S
Abstract: This paper develops an image analysis algorithm to help with glaucomatous eyes' cup-to-disc ratio calculation. The method depends on color data, color discrepancies among neighboring frames, and the shape of the regions. It also takes into consideration the specialist's viewing preferences. This technique is used to separate the Optic Disc (OD) into the fundus image in Glaucomatous Eyes (GE) and the Optic Cup (OC) inside the OD. SS-CIELAB uses several spatial smoothing filters to simulate the contrast sensitivity features of the Human Vision System (HVS) in the color space of the adversary. To create the sharpened image, they combine these spatial filters with each opponent channel's Fast Fourier Transform (FFT). The application created to separate the OD and OC is meant to help with estimating the cup-to-disc ratio in GE. A technique that depends on the color data and the color differences among neighboring pixels and the shape of the regions in the assertion. The researcher makes use of the color image sharpening method and incorporates the spatial filter ring provided by the S-CIELAB module.
Keywords: Glaucomatous Eyes, Spatial Filters, Fast Fourier Transform, Optic Cup, S-CIELAB
Edition: Volume 14 Issue 2, February 2025
Pages: 1753 - 1761
DOI: https://www.doi.org/10.21275/SR25210222137
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