Detection of Pterygium Disease Using Hough Transform and Forward Chaining

Abstract

The eye is one of the human parts of the body which used by human for viewing and do everyday activities. If those eyes got problems such as disease, of course, that will interrupt the ability of vision and limit daily human activities, including pterygium. Pterygium is one of many eye diseases which can cause zero visibility or even blindness. This research will be building a detection system of pterygium and classified how damaged it was to the eye by doing image segmentation with the Hough Transform method and then classified by counting pixel of pterygium value and then using the expert system for making sure the output of this system will be more accurate. From test results, Hough Transform s accuracy in detecting pterygium is 82.5%; this method works by isolate cornea and counting the pixel value of the pterygium area. The expert system gets 100% accuracy by concluding which pterygium classification is based on their chosen symptoms.