Glaucoma Stage Detection Using SVM Classifier and threshold Based Segmentation Rakesh P. M.1, Puviarasi R.2 1Student, Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha University, Chennai 2Assistant Professor, Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha University, Chennai Online published on 16 January, 2018. Abstract Glaucoma is an endless eye ailment. In glaucoma the optic nerve head is dynamically harmed. It is imperative to identify Glaucoma ailment in time, since it can be cured and it prompts perpetual vision misfortune. In this paper, optic glass and optic circle division is utilized for evaluation of optic nerve head. Division depends on super-pixel grouping. It comprises of optic circle and optic glass division in light of super-pixel characterization. For optic plate and optic glass division versatile histogram leveling and Gabor channel are utilized essentially to classify every super-pixel as circle or non-circle Finally Cup to circle proportion CDR is assessed and contrasted and limit an incentive for discovery of glaucoma. Top Keywords Micro Controller, UART, Buzzer, SVM Classifier. Top |