Medical Diagnosis System Based on Iris Analysis

نویسندگان

  • Adrian LODIN
  • Sorina DEMEA
چکیده

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. 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. Our goal is to automatically identify those regions and established an assist diagnosis. The final automatically generated diagnosis needs user approval, thus making the system semi-automatic.

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تاریخ انتشار 2009