Automatic Diagnosis System Identification of Coronary Heart Disease Using GLCM Feature Extraction and SVM Classification


Coronary heart disease is one of the heart disease that is very much attacking humans. The cause of coronary heart disease is the accumulation of fat and cholesterol in the walls of blood vessels. The main cause of coronary heart disease is due to unhealthy human lifestyles. Poor diet, obesity and lack of exercise are the main causes of coronary heart disease. Narrowing of blood vessels is closely related to blood flow that occurs to the eye, especially the iris. So the need for a method with a more efficient and inexpensive method to find out and identify heart disease since yourself by using iridology. The system is designed by using Circle Hough Transform (CHT) as an automatic detection of the iris, Gray Level Co-occurrence Matrix (GLCM) as feature extraction and Support Vector Machine (SVM) as a classification. Tests have been carried out on 40 image data that obtained an identification success rate of 87.5%.

Authors: Vincentius Abdi Gunawan, Ignatia Imelda Fitriani, Leonardus Sandy Ade Putra

Mulawarman University, Kalimantan Timur – Indonesia

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