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

Content Provider	IEEE Xplore Digital Library
Author	Sitorus, Maya A. R. Purnomo, Mauridhi Hery Wibawa, Adhi Dharma
Copyright Year	2015
Description	Author affiliation: Department of Multimedia and Network Engineering, Institute of Technology Sepuluh Nopember, Surabaya, Indonesia (Purnomo, Mauridhi Hery; Wibawa, Adhi Dharma) \|\| Department of Electrical Engineering, Institute of Technology Sepuluh Nopember, Surabaya, Indonesia (Sitorus, Maya A. R.)
Abstract	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.
Starting Page	54
Ending Page	58
File Size	436412
Page Count	5
File Format	PDF
e-ISBN	9781467378000
DOI	10.1109/ICICI-BME.2015.7401334
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-02
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iris Iris Image processing Watershed Transform Cameras Chronic Renal Failure Iridology Kidney Blood Diseases Abdomen
Content Type	Text
Resource Type	Article

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