Identification of Diabetics Mellitus using Iridology

  • Asuntha A Department of Electronics and Instrumentation, SRM Institute of science and technology, Kattankulathur-603203, Chennai, Tamil Nadu, India
  • Sree Charan Y Department of Electronics and Instrumentation, SRM Institute of science and technology, Kattankulathur-603203, Chennai, Tamil Nadu, India
  • Siddartha M Department of Electronics and Instrumentation, SRM Institute of science and technology, Kattankulathur-603203, Chennai, Tamil Nadu, India
  • Udhaykumar K Department of Electronics and Instrumentation, SRM Institute of science and technology, Kattankulathur-603203, Chennai, Tamil Nadu, India
  • Andy Srinivasan Department of Electronics and Instrumentation Engg., Valliammai Engg. College, Chennai, Tamil Nadu, India

Abstract

Diabetes is a general illness regularly contaminated in people. Numerous approaches to recognize diabetes, one of them is checking circulatory strain, however, along these lines isn't compelling, in light of the fact that it takes blood first and takes a ton of time. Iridology is a one-way investigation wellbeing dependent on the iris. In this manner, we need an apparatus used to recognize pancreatic harm as a sign of diabetes through iridology. TheBurden picture is the initial step to distinguish pancreatic organs dependent on the iris. The eye picture that we utilized as the info framework originates 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. After that, the subsequent stage is a division process utilizing Hough circle change technique. The consequences of division will be standardized and take the Region of intrigue. Return for money invested will be done element extraction by utilizing GLCM (Gray Level Co-Occurrence Matrix). To know the state of a pancreas organ utilizing back propagation strategy.

Keywords: Iridology chart, Image processing, Diabetes mellitus, Pancreas

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Published
2019-07-12
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How to Cite
Asuntha A, Sree Charan Y, Siddartha M, Udhaykumar K, & Andy Srinivasan. (2019). Identification of Diabetics Mellitus using Iridology. International Journal of Research in Pharmaceutical Sciences, 10(3), 1821-1823. https://doi.org/10.26452/ijrps.v10i3.1325
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Original Articles
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