Iridology in Medical Diagnosis System
Alternative health techniques like iridology show that the eyes can give a glimpse of the state of our overall
health. The goal of this study is to present a system which is used to process iris images for medical purposes. Such a system
should assist a diagnosis based on correlation between medical pathology and different sectors from the surface of the iris.
Iridology claims that it can diagnose diseases through a careful examination of the iris. Iris surface texture regions, which
offer useful information, can be revealed using computerized texture and color analysis. Iridologists work showed that
locations of those regions upon segmented iridology charts point out an interrelation between map sectors and internal body
system medical pathology. Using these charts, iridologists can help identify systems and organs that may be inflamed or
underactive. Our goal is to automatically identify those regions and establish an assist diagnosis. The final automatically
generated diagnosis needs user approval, thus making the system semi-automatic.
Keywords - Iris recognition, medical pathology, texture regions, diagnosis, Hough Transform.