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Sivasankar, K.
- Real Time Non-Invasive Iris Image Analysis for Pulmonary Disease Identification and Corrective Measure of Iridology
Authors
1 Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, IN
Source
Biometrics and Bioinformatics, Vol 4, No 8 (2012), Pagination: 369-375Abstract
The iris of human eye is globally identified as the better solution for biometric systems with its uniqueness feature and complex pattern. In other side the iris has the significance to reflect the changes in human body with the varying health condition. This study of the iris for medical purposes is called iridology. A primary theory of Iridology is that the iris is constructed in layers that represent the four stages of tissue activity, namely acute changes, sub-acute changes, chronic changes and degenerative changes. By noting which layer has the defect, the iridologist can suggest what the nature of the problem is. Iridology is a novel, cost-effective and non-invasive approach of medical analysis because there are no touching, no damage to human body. The Iridologists have to measure color of iris, its density, open and closed lesion, sign on iris image and the location of body organ in iris image as stated in iridology chart. This paper is proposing a real time approach to analyze human iris specifically for Pulmonary Diseases using existing better Image Processing techniques such as Circular Hough Transform, Gabor Wavelet and proposed Water Flow Segmentation model and finally to measure correctness of iridology experimentally through comparative study with Clinical Testing.Keywords
Circular Hough Transform, Gabor Wavelet, Water Flow Segmentation, Jensen Chart, Iridology.
- Real Time Non-Invasive Iris Image Analysis for Pulmonary Disease Identification and Corrective Measure of Iridology
Authors
1 Manonmaniam Sundaranar University, Tirunelveli, TamilNadu, IN
Source
Biometrics and Bioinformatics, Vol 4, No 5 (2012), Pagination: 226-230Abstract
The study of the iris for medical purposes is called iridology and it is the science of analyzing the delicate structures of the iris of the eye. In iridology point of view the iris has very close relationship with every organ in the body. Iris analysis is having many advantages for iridologists in order to detect symptom in patient's iris. Iridology is a novel and non invasive approach of medical analysis because there are no touching, no damage to human body. The Iridologists have to measure color of iris, its density, open and closed lesion, sign on iris image and the location of body organ in iris image as stated in iridology chart. Many consider iridolgy a “fringe” practice and it is a pseudoscience, but it has enormous potential when practiced correctly. So this project is proposing a real time approach to analyze human iris for Pulmonary Diseases using Image Processing techniques and proposed to measure correctness of iridology experimentally through comparative study with Clinical Testing. The comparative study is based on Iridology Chart developed by Dr. Bernard Jensen. The pulmonary diseases are the problems in lungs area which is in position at 9.0 to 10.0 in right iris and 2.0 to 3.0 in left iris based on Jensen Chart.