Measurement of overall decentration, angle deviation, and prism diopters in categorized strabismus cases using mathematical morphology algorithm

Abstract

Squint is a deviation in the direction of the gaze of one eye. It is the indicator of strabismus which can be hidden or noticeable by simply observing the patients eye. To detect and measure their eye's angle deviation the examiner uses several equipment such as synoptophore, ophthalmoscope and the like. Through this study, the researchers could detect and measure strabismus present in patients using mathematical morphology algorithms as image processing technique. Mathematical morphology algorithms and other techniques such as Canny Edge, Otsu's Segmentation are used for image analysis and processing. Mathematical Morphology (MM) algorithm has a wide variety of different operations that can be used to extract and represent most important features in the image. Using MM in analysing the data which is the capture eye region image, the difference in overall decentration, angle deviation, Prism Diopter (PD) and case findings can be achieved. The study is done through 32 patients and yields an average difference of 1.29 proving that the device can be used in clinical measurement and detection of strabismus. The calculated value for Z-test is 0.3487 proving that there is no significance difference on the average readings on the prism diopter.