AN IMPLEMENTATION THAT DIAGNOSIS ANISOCORIA DISEASE USING IMAGE PROCESSING TECHNIQUES

Abstract

Human pupil abnormalities can be an indicator of many diseases. Anisocoria is a common condition that has been estimated at 20% of the average population. It is specified by inequality in the size of the pupils of the eyes. This paper proposes an anisocoria determining algorithm from a digital image by using the MATLAB computing environment that involves the usage of MATLAB Computer Vision and Image Processing Toolbox. The image used in this work as input data is an image that has been fetched from Siblings Image Database. An input image where anisocoria is present has been downloaded from the Internet. The paper gives an idea of understanding how pupil detection and measurement can be used in medical and psychology diagnostics by using a simple algorithm.

Keywords

• görüntü i̇şleme
• anizokori
• teşhis
• gözbebeği tespiti
• göz bebeği ölçümü
• image processing
• anisocoria
• diagnosis
• pupil detection
• pupil measurement