Grading of Retinal Hard Exudates by Using VistaView Devise Based on Hybrid Algorithm

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 6

Year of Publication : 2024

Authors : Suhair Hussein Talib, Osama Qasim

10.14445/23488379/IJEEE-V11I6P105

How to Cite?

Suhair Hussein Talib, Osama Qasim, "Grading of Retinal Hard Exudates by Using VistaView Devise Based on Hybrid Algorithm," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 6, pp. 41-49, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I6P105

Abstract:

Untreated Diabetic Retinopathy (DR) can lead to different levels of visual impairment and potentially complete loss of eyesight. Undergoing an annual eye examination can be immensely advantageous in identifying prospective visual impairments, particularly for individuals with diabetes, aiding in preventing early-stage vision deterioration. Due to technological improvements, retinal imaging technologies for cell phones are now commercially available. The remarkable feature of retinal imaging systems is their capacity to conduct cost-effective and efficient screening for diabetic retinopathy in diverse settings. Nevertheless, the accuracy of DR detection can be influenced by the area of view and image quality. Due to their small size, smartphone-based retinal imaging plans typically produce images of inferior quality and have a narrower field of vision than traditional fundus cameras. The goal of this study is to thoroughly examine several approaches to handling retinal images in the field of ophthalmology in order to identify and assess the degree of abnormalities. The research endeavors to obtain retinal images with cutting-edge imaging technologies such as the Vista view. On the other hand, fundus cameras are too expensive and heavy for most health clinics to buy and transport. Thus, compact, portable, and reasonable retinal imaging technologies for quick DR screening are needed. Every health clinic cannot afford fundus cameras, which are bulky and cumbersome. Thus, quick DR screening retinal imaging systems that are tiny, portable, and affordable are in demand. Then examined the view field of commercial smartphone-based portable ophthalmoscope systems to assess whether they are acceptable for DR screening during a general health exam. The Vistaview retinal imaging system has better image quality and an extensive field of view than other devices. It then makes use of a variety of image-enhancing algorithms to raise the photographs' quality and clarity. The researchers investigated the effectiveness of MRLS, a multi-level rhombus segmentation method, for identifying lesions in retinal images caused by conditions like diabetic retinopathy and macular degeneration. This method uses median filters and morphological processes to identify anomalies automatically. The assessment of lesions created on their severity and progression is another area of investigation in this study. In order to do this, an Artificial Neural Network (ANN) system based on the ANN's Delta Learning Rule (DLR) is proposed. The resolve of this system is to identify images and control whether a dangerous situation is present. This work is a significant step towards the development of reliable and effective methods for the prompt diagnosis and treatment of retinal disorders.

Keywords:

VistaView, Diabetic Retinopathy (DR), MRLS, Median filter, DLR.

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