Infrared Thermograms for Diagnosis of Dry Eye: A Review

A non-intrusive, contactless temperature measurement technique that provides real-time surface temperature distribution is infrared thermography. Ocular Surface Temperature (OST) can be measured using thermography without harming the subjects. It is used in wide variety of applications, especially in medical applications. Recently Infrared thermal images of eye are used to diagnose and detect many diseases and features of human eye. This paper examines the methods currently in use for diagnosing dry eye. The main focus is on thermal images. Thermographic technique is proved to be a highly sensitive, satisfying method and accurate for detecting eye disorders. Various machine learning and Deep learning algorithms are discussed. Finally, it is concluded as deep learning combined with thermography is more likely to be used to detect dry eye disease.