Indian Journal of Public Health Research & Development

  • Year: 2019
  • Volume: 10
  • Issue: 7

Retina Identification System Using Machine Learning and Multiple Regression Model

  • Author:
  • D. Nagarajan1,, R. Sujatha2, J. Kavikumar3, Udaya Mouni Boppana4, Dhivyapriya4
  • Total Page Count: 5
  • Page Number: 178 to 182

1Professor, Department of Mathematics, Hindustan Institute of Technology & Science, Padur

2Associate Professor, Department of Mathematics, SSN College of Engineering, Chennai

3Professor, Madya Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Malaysia

4Student, Department of Computer Science, Hindustan Institute of Technology & Science, Padur

*Corresponding Author: D. Nagarajan, Professor, Department of Mathematics, Hindustan Institute of Technology & Science, Padur-603103, Email: dnrmsu2002@yahoo.com

Online published on 19 August, 2019.

Abstract

In recent year, Macular Degeneration is the leading cause of vision loss. Macular Degeneration is caused by the deterioration of the central portion of the retina, the inside back layer of the eye that records the images we see and sends them via the optic nerve from the eye to the brain. The retina's central portion, known as the macula, is responsible for focusing central vision in the eye, and it controls our ability to read, drive a car, recognize faces or colors, and see objects. The aim of our proposed paper is to detect macular degeneration by using machine learning and regression analysis. This involves segmentation, plotting of histogram, edge detection and singular value decomposition. The results derived from edge detection are used in regression analysis.

Keywords

Segmentation, edge detection, singular value decomposition, multilinear regression, multicollinearity