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Research Article

Academia Journal of Scientific Research 6(11): 446-454, November 2018
DOI: 10.15413/ajsr.2018.0156
ISSN: 2315-7712
©2018 Academia Publishing 

Abstract

 

 

Digital image processing to support iridology as a diagnostic alternative: A review
 

Accepted 15th November, 2018

 
Norma Ramirez* and Rosaura Montelongo

Electronics and computer division, CUCEI-University of Guadalajara, Guadalajara Jalisco, México.

 

Health care has been a concern for centuries. One of the most important functions of primary medical attention is the prevention and early detection of diseases, which in the long term would reduce the costs of future treatments. Iridology is an alternative diagnostic medicine technique in which patterns, colors, and other characteristics of the iris can be examined to determine information about a patient's systemic health. This review shows iridology as a valid diagnostic tool, such that with the use of digital image processing (PDI), it will provide controlled quantitative clinical trials with acceptable results. Iridology has been misinterpreted by people that have not been updated in the field and applied technologies or simply do not have the proper education. The correlations resulted shows a high connection between the iris constitutions establish through iridological criteria and the existing pathology or long before the symptoms appear. It is concluded that, with adequate image processing, some pathologies have great possibilities of being detected by this alternative system in traditional and non-invasive medicine.

Key words: Biometric, complementary medicine, digital image processing, iridology, iris recognition, noninvasive diagnosis.
 

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article as:
Ramirez N, Montelongo R (2018). Digital image processing to support iridology as a diagnostic alternative: A review. Acad. J. Sci. Res. 6(11): 446-454.

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