Development of an Active Contour Method Based on Contrast Features to Detect Keratitis in the Cornea

Digital Image Processing (DIP) is a scientific discipline with techniques for processing images using computers. The digital image is expressed in a two-dimensional matrix. The research object is keratitis on the cornea. The keratitis image was obtained using a slit lamp photo at Rs. Padang Aye Center (PAC), based on the results ofthe diagnosis by looking at the development of the infiltrate or also called hypopyon, by measuring the ulcer borders horizontally and vertically with the aim of evaluating improvements that respond to treatment. The clinical results obtained cannot determine the extent and circumference of the keratitis layer area that responds to keratitis as a whole. The images used were 206 slit lamp images of keratitis. This research provides knowledge in the form of contrast values in the Active Contour method, resulting in an update called Contras Adjustment (CA)/CAimg, in correctly segmenting keratitis objects and providing measurements of the area and circumference of the keratitis area. The results of this study were from 206 slit lamp images, 195 slit lamp images of keratitis that detected keratitis correctly and 11 slit lamp images of keratitis that could not be detected, resulting in an accuracy of $\mathbf{9 5 \%}$.