• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2022, Volume: 15, Issue: 3, Pages: 115-126

Original Article

Real Time Glaucoma Prediction Using Y-UNet Classifier via Hardware Software Co-Design SMART System

Received Date:23 November 2021, Accepted Date:10 January 2022, Published Date:31 January 2022


Objectives: To present a real-time algorithm that combines Yolov5 and UNetbased CNN predictions to classify small-sized images, particularly medical images. Methods: The proposed model combines the various phases of preprocessing, object detection, segmentation and classification through Kalman filter, Yolov5, U-net based on CNN. The model is derived from the three different datasets to create a novel classification algorithm for medical data. The dataset contains images of 136 glaucoma patients and 187 healthy images. Findings: The proposed Y-UNet classifier framework is used to classify glaucoma images based on their IOP and CCT from real-time dataset collection. The proposed framework accuracy of 98.75% is achieved in the run time performance at 0.18 seconds per image. The accuracy is higher by 1.66% and runtime performance reduced by 0.03 seconds when compared with standard classification methods. Additionally, threshold optimizer has minimized the overall losses and provides the most accurate result. Novelty: The Y-UNet classifier model proposed here enables the real-time glaucoma prediction tasks to be carried out through the use of a hardware-based system known as the Sensitive Mirror Analyzer and Retina Tracker. To the best of our knowledge, for the first time, the proposed algorithm has been implemented to improve the accuracy and run time performance.

Keywords: UNet; Yolov5; YUNet classifier; Sensitive Mirror Analyzer and Retina Tracker (SMART) system; Glaucoma disease


  1. Nouri-Mahdavi K, Mohammadzadeh V, Rabiolo A, Edalati K, Caprioli J, Yousefi S. Prediction of Visual Field Progression from OCT Structural Measures in Moderate to Advanced Glaucoma. American Journal of Ophthalmology. 2021;226:172–181. Available from: https://dx.doi.org/10.1016/j.ajo.2021.01.023
  2. Allison K, Patel D, Alabi O. Epidemiology of Glaucoma: The Past, Present, and Predictions for the Future. Cureus. 2020;12(11). Available from: https://dx.doi.org/10.7759/cureus.11686
  3. Ganesh SS, Kannayeram G, Karthick A, Muhibbullah M. A Novel Context Aware Joint Segmentation and Classification Framework for Glaucoma Detection. Computational and Mathematical Methods in Medicine. 2021;2021:1–19. Available from: https://dx.doi.org/10.1155/2021/2921737
  4. Priya SS, , Sathiaseelan JGR. Enhanced Retina Blood Vessel Segmentation by Super Resolution Generative Adversarial Networks based U-Net. Indian Journal of Science and Technology. 2021;14(43):3246–3253. Available from: https://dx.doi.org/10.17485/ijst/v14i43.1502
  5. Badakere SV, Chary R, Choudhari NS, Rao HL, Garudadri C, Senthil S. Agreement of Intraocular Pressure Measurement of Icare ic200 with Goldmann Applanation Tonometer in Adult Eyes with Normal Cornea. Ophthalmology Glaucoma. 2021;4(3):238–243. Available from: https://dx.doi.org/10.1016/j.ogla.2021.04.002
  6. Abdel-Khalek S, Algarni M, Mansour RF, Gupta D, Ilayaraja M. Quantum neural network-based multilabel image classification in high-resolution unmanned aerial vehicle imagery. Soft Computing. 2021. Available from: https://dx.doi.org/10.1007/s00500-021-06460-3
  7. Althobaiti MM, Kumar KPM, Gupta D, Kumar S, Mansour RF. An intelligent cognitive computing based intrusion detection for industrial cyber-physical systems. Measurement. 2021;186:110145. Available from: https://dx.doi.org/10.1016/j.measurement.2021.110145
  8. Aljehane NO, Mansour RF. Optimal allocation of renewable energy source and charging station for PHEVs. Sustainable Energy Technologies and Assessments. 2022;49:101669. Available from: https://dx.doi.org/10.1016/j.seta.2021.101669
  9. Mansour RF, Abdel-Khalek S, Hilali-Jaghdam I, Nebhen J, Cho W, Joshi GP. An intelligent outlier detection with machine learning empowered big data analytics for mobile edge computing. Cluster Computing. 2021. Available from: https://dx.doi.org/10.1007/s10586-021-03472-4
  10. Nazir T, Irtaza A, Starovoitov V. Optic Disc and Optic Cup Segmentation for Glaucoma Detection from Blur Retinal Images Using Improved Mask-RCNN. International Journal of Optics. 2021;2021:1–12. Available from: https://dx.doi.org/10.1155/2021/6641980
  11. Fan Z, Xie Jk, Wang Zy, Liu PC, Qu Sj, Huo L. Image Classification Method Based on Improved KNN Algorithm. Journal of Physics: Conference Series. 2021;1930(1):012009. Available from: https://dx.doi.org/10.1088/1742-6596/1930/1/012009
  12. Ranadive F, Surti AZ, Patel H. Predicting Glaucoma Diagnosis Using AI. Intelligent Systems Reference Library. 2022;206:51–76.
  13. Krishnan S, Amudha J, Tejwani S. Intelligent-based decision support system for diagnosing glaucoma in primary eyecare centers using eye tracker. Journal of Intelligent & Fuzzy Systems. 2021;41(5):5235–5242. Available from: https://dx.doi.org/10.3233/jifs-189846
  14. Li Y, Chen R, Sensale-Rodriguez B, Gao W, Yu C. Real-time multi-task diffractive deep neural networks via hardware-software co-design. Scientific Reports. 2021;11(1). Available from: https://dx.doi.org/10.1038/s41598-021-90221-7
  15. Chen W, Huang H, Peng S, Zhou C, Zhang C. YOLO-face: a real-time face detector. The Visual Computer. 2021;37:805–813. Available from: https://dx.doi.org/10.1007/s00371-020-01831-7
  16. Khosravanian A, Rahmanimanesh M, Keshavarzi P, Mozaffari S. Fast level set method for glioma brain tumor segmentation based on Superpixel fuzzy clustering and lattice Boltzmann method. Computer Methods and Programs in Biomedicine. 2021;198:105809. Available from: https://dx.doi.org/10.1016/j.cmpb.2020.105809
  17. Ridha JA, Saud JH. Iris Segmentation Approach Based on Adaptive Threshold Value and Circular Hough Transform. 2020 International Conference on Computer Science and Software Engineering (CSASE). 2020;p. 32–37. doi: 10.1109/CSASE48920.2020.9142123
  18. Jia D, Zhang C, Wu N, Guo Z, Ge H. Multi-layer segmentation framework for cell nuclei using improved GVF Snake model, Watershed, and ellipse fitting. Biomedical Signal Processing and Control. 2021;67:102516. Available from: https://dx.doi.org/10.1016/j.bspc.2021.102516
  19. Munawar HS, ”. Image and Video Processing for Defect Detection in Key Infrastructure. Machine Vision Inspection Systems. 2020;p. 159–177. doi: 10.1002/9781119682042.ch7
  20. PN, D P, Mansour RF, AA. Algorithm-Based Feature Selection with Gradient Boosted Tree Model for Diabetes Classification”. Diabetes Metabolic Syndrome Obesity. 2021;14:2789–2806. Available from: https://doi.org/10.2147/DMSO.S312787
  21. Li L, Sun L, Xue Y, Li S, Huang X, Mansour RF. Fuzzy Multilevel Image Thresholding Based on Improved Coyote Optimization Algorithm. IEEE Access. 2021;9:33595–33607. Available from: https://dx.doi.org/10.1109/access.2021.3060749
  22. Jha S, Seo C, Yang E, Joshi GP. Real time object detection and trackingsystem for video surveillance system. Multimedia Tools and Applications. 2021;80(3):3981–3996. Available from: https://dx.doi.org/10.1007/s11042-020-09749-x
  23. Malta A, Mendes M, Farinha T. Augmented Reality Maintenance Assistant Using YOLOv5. Applied Sciences. 2021;11(11):4758. Available from: https://dx.doi.org/10.3390/app11114758
  24. Salhi A, Ghozzi F, Fakhfakh A. Estimation for Motion in Tracking and Detection Objects with Kalman Filter. Dynamic Data Assimilation - Beating the Uncertainties. 2020. doi: 10.5772/intechopen.92863
  25. Bochkovskiy A, Wang CY, Liao HYM. YOLOv4: Optimal Speed and Accuracy of Object Detection. 2020. Available from: arXiv:2004.10934v1


© 2022 Priya & Sathiaseelan. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Indian Society for Education and Environment (iSee)


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