Abstract
Diabetes has become a global problem due to changing lifestyles, daily eating habits, level of stress encountered by people, etc. According to statistics of the World Health Organization (WHO) in 2016, 8.5% of the adult population of the world is suffering from diabetes. Therefore, early detection of diabetes has become a global challenge. The iris of the human eye depicts a picture of the health condition of the bearer. Iridology is a method conceived decades ago that focuses on the study of iris patterns such as texture, structure and color for diagnosis of various diseases. By analyzing the images of human iris, a medical imaging method was explored with computer vision for the identification of diabetes. Iris analysis of the human eye is conducted based on the pancreas, kidney and the spleen of the human body where the local datasets were collected using a Digital Single Lens Reflex (DSLR) camera. Diabetes detection system with a low cost was created focusing on the localization, segmentation, normalization and the system predicts the severity of diabetes with 85% accuracy.
Authors:
P. H. A. H. K. Yashodhara & D. D. M. Ranasinghe
Department of Electrical & Computer Engineering, The Open University of Sri Lanka, Nawala, Nugegoda, Sri Lanka
