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Diabetes Mellitus is a general illness regularly contaminated in people. Numerous approaches are used to recognize Diabetes Mellitus, one of them is checking circulatory strain, Blood sugar test, urine test. Iridology is the one way of investigating Diabetes Mellitus based on the iris. In this book the iridology techniques are explained in detailed manner. There is a need to diagnose pancreatic harm as a sign of diabetes through iridology. The Burden picture is the initial step to distinguish pancreatic organs dependent on the iris. The eye picture that is utilized as the info framework from the eye facility database. The subsequent stage is a versatile middle sifting utilized in the process preprocessing to lessen the commotion on the picture. The Hough circle transform is used to identify the region of interest and to convert the circular iris image into rectangle form. k-NN classifiers is used to classify whether the person has Diabetes. Finally, the results are compared with the real-time images.
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Dr. A. Asuntha has received Doctorate degree in SRMIST and graduated B.E and M.E from Annamalai University. Currently she is working as Assistant Professor in the Department of Electronics & Instrumentation Engineering, SRMIST, Tamil Nadu. She has 15 years of teaching experience and has many publications in Image Processing.
