Detection Of Topographic Images Of Keratoconus Disease Using Machine Vision

Abstract

The human eye is one of the most important and first senses (vision) of the five senses. Each eye disease creates its own problems for the patient, and measures are needed to diagnose and treat these diseases. One of these diseases is keratoconus, which is the basis of this article. In this article, first, explanations about this progressive disease are presented, then the important and basic factors used in the programming of this project are briefly and usefully expressed and using 33 topographic images (both healthy eyes and eyes with keratoconus). Four prominent features of this disease were studied and diagnosed with the help of MATLAB software. Proper images of keratoconus are not available, so images were collected. These images were taken in a medical center in Shiraz under the supervision of a corneal specialist and with a size of 1024 * 1024. Any eye that has one of four characteristics is known as a keratoconus. In the end, all the results are compared with the results provided by the expert and the accuracy of the obtained result is measured.

Keywords

• Corneal diagnosis
• image processing
• measurement criteria
• topographic image characteristics

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