Study on Alzheimer’s Disease using Image Processing

Abstract

In this study, we describe how to detect the presence of Alzheimer’s disease with the help of
image processing. The data used are iridology images which are collected from subjects with
and without Alzheimer’s disease that studies the alterations of the iris in correspondence with
the organs of the human body. This is done with the help of certain mathematical models
based on specialized software called MATLAB. For this we have: i) the Fourier Transform to
normalize the image; ii) the Hough Transform to locate circles in an image. (iii) Naïve Bayes
classifier which helps to determine the characteristics of the iris establishing criteria or
patterns to determine the existence or non-existence of Alzheimer's disease (AD).