Keywords : Channel Seperation
Colour texture analysis of fundus image for glaucoma diagnosis using hidden Markov models
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 9, Pages 1465-1469
Glaucoma is an eye disease category that affects the optic nerve, whose protection is important for good vision. It is typically caused by an abnormally high eye pressure. This is more widespread in older adults but can occur at any age. It will be treated early otherwise it leads to loss of vision. In this study, an efficient method for glaucoma diagnosis using hidden markov models is presented. Initially, the red, green and blue color components are separated. Finally, Hidden Markov Models (HMM) is used for glaucoma diagnosis. The experimental results and discussion shows the performance of the proposed system.