Classification or Iris Image of Patient Chronic Renal Failure (CRF) using Watershed Alogorithm and Support Vector Machine (SVM)
Iridology is an alternative method in studying the condition of human internal organ through the image of iris.Iris chart has been introduced by scientists (Bernard Jensen) long time ago. In this paper we classified the iris image of patients CRF (Chronic Renal Failure) on stage 5 (End Stage of Renal Disease). Sixty one hemodialysis patients and 21 healthy volunteer with normal or nearest normal kidneys participated in this research. 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 (2520–2680) for right eye and at 6.05-6.6 (2720-2880) for left eye assuming that the circle of iris is dividedinto 120 points (3600). The medical records of participants were used to validate the result of this study. The result showed that 87.5% of patients hemodialysis has shown broken tissue on their right iris and 89.3% has shown broken tissue on their left iris. In conclusion, the condition of renal organ of CRF patients mostly showed broken tissue in their iris image. SVM was used to recognize the iris image whether it contains broken tissue that showing kidney disease or not, and the accuracy showed that for learning and testing dataset, best mean of precission is 87.5% and best mean recall is 91.7% given by the percentage split 90 (where the data training was 90% and data testing was 10%). Keywords : Iridology
From 61 images of iris from 61 CRF patients, there were only 56 images that can be used for analysis. Other 5 images cannot be used because of the cataract and eyelids that cover the ROI. From the 56 data images we found that 49 of them (87.5%) showed that in their right iris there were broken tissues in the kidney ROI. 50 of them (89.3%) showed broken tissue in their left iris.
Theoritically, right iris represents organs on the right of body organs and left iris represents organs in left side. In this study we also found that one patient who has no right kidney for 40 years (the kidney was taken out by surgeon), showed no signs of broken tissue in her right iris. Further research need to be performed to analysis this interested fact.
1ADHI. D. WIBAWA, 2MAYA. A. R. SITORUS, 2MAURIDHI. H. PURNOMO
1Asstt Prof., Department of Multimedia and Network Engineering, Institut Teknologi Sepuluh Nopember,
2Department of Informatics Engineering, Politeknik Negeri Batam, INDONESIA
3Prof., Department of Multimedia and Network Engineering, Institut Teknologi Sepuluh Nopember,
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