Iris image analysis of patient Chronic Renal Failure (CRF) using watershed algorithm


Iridology is one alternative ways to know the health condition of the human organs. In iridology, the existance of broken tissue on the iris image in a certain area is representing the condition of a specific organ. Renal or kidneys are the example of the organs that can be seen through the iris. Focus of this research is to analyze the iris image of patient Chronic Renal Failure (CRF). According to the GFR (Glomerular Fitration Rate) in the blood of the patients, CRF could reached 5 stages. In this paper the analysis was limited to the patients of CRF who have already been in hemodialysis treatment (stage 5). The number of hemodialysis patients who participated in this research was 40 people. The iris image of CRF patients were taken using specific iris camera. Watershed transform technique was used to extract the features of iris image of hemodialysis patients. The ROI (region of interest) of iris image of renal organ is at 5.35-5.95 (252° – 268°) for right eye and at 6.05-6.6 (272° – 288°) for left eye assuming that the circle of iris is dividedinto 120 points (3600). The medical records of patients were used to validate the result of this iridology study.The result shows that 90% of patients hemodialysis has shown broken tissue on their right iris and 94% has shown broken tissue on their left iris. In conclusion, the condition of renal organ of CRF patients can be seen through the broken tissue in iris image.

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