European Journal of Molecular & Clinical Medicine ISSN 2515-8260 Volume 7, Issue 4, 2020 2015 PSO-KNN BASED EFFECTIVE OPTIC DISC SEGMENTATION AND CLASSIFICATION IN FUNDUS IMAGES B.Sakthi Karthi Durai 1 , J.Benadict Raja 2 1 Assistant Professor, Department of Computer Science and Engineering, PSNA College of Engineering and Technology, India 2 Assistant Professor, Department of Computer Science and Engineering, PSNA College of Engineering and Technology, India ABSTRACT Glaucoma is the most common sources of the retinal disease that leads to permanent impaired vision worldwide. An automatic Optic Disc (OD) findings in retinal images utilized to diagnosis eye-related diseases like diabetic retinopathy. Numerous methods are offered to detect OD in low-resolution retinal images. This work presents an automatic glaucoma diagnosis using an image processing technique from the digital fundus image. In this work, a novel Particle Swarm Optimization (PSO) optimized KNN used for glaucoma disease classification. PSO is a naturally inspired optimization algorithm, utilized to find optimization parameters of KNN to improve classification accuracy. The proposed algorithm divided into three stages. Preprocessing stage includes noise removal, contrast enhancement using histogram equalization. For OD detection FCM has been used. Finally, PSO-KNN classifier used for categorizing healthy and non-healthy images of Optic Disc. The proposed technique has been coded in MATLAB and tested in the standard database of DRIVE and STARE fundus image. From the result observed that compared to other algorithms proposed approach improves accuracy considerably. 1.INTRODUCTION Medical imaging is a development of producing images of inner portions of the human body for clinical l diagnosing purpose. The inner parts of the human body can be effortlessly envisaged by the used image processing. Various imaging techniques have been introduced to produce images such as X-ray, CT and MRI techniques. It is used to improve medical science, particularly to Ophthalmology. Ophthalmology [1] is the main part of the medical division used to diagnosis eye-related treatment and disorder. There are various diseases related to retinal, such as cataracts, glaucoma and diabetic retinopathy, etc. From the earlier years, Ophthalmology techniques improved by introducing numerous automatic detection methods but these approaches need further development[2][3]. Glaucoma is a collection of disease-related with the human eye that leads blindness without any indications and cautions. Firstly, glaucoma increases Intraocular Pressure (IOP) and if not identified at an early stage, it spontaneously abolishes the optic nerve and ultimately leads to impaired vision.