C.P.Niranjana et al, Int. Journal of Information Technology & Mechanical Engineering - IJITME, Vol.4 Issue. 12, December- 2018, pg. 15-30 ISSN: 2349-2865 Impact Factor: 1.227 © 2018, IJITME All Rights Reserved, www.ijitme.org 15 Detection of Exudates and Optic Disc Using Superpixel Multifeature Classification C.P.Niranjana Dr. S.Vasanthi Student, Dep of ECE, Professor, Dep of ECE, K.S.Rangasamy College of Technology, K.S.Rangasamy College of Technology, Anna University, Chennai Anna University, Chennai E-mail Id: cpniranjana.ece@gmail.com E-mail Id: vasanthiramesh@gmail.com Abstract-- Automated optic disk (OD) detection plays an important role in developing a computer aided system for eye diseases. A classifier model is trained based on structured learning. Thresholding is performed on the edge map thus a binary image of the OD is obtained. The results (an area overlap and Dices coefficients of 0.8605 and 0.9181, respectively, an accuracy of 0.9777, and a true positive and false positive fraction of 0.9183 and 0.0102) show that this method is very competitive with the state-of-the-art methods and is a reliable tool for the segmentation of OD. Exudates can be regarded as one of the most prevalent clinical signs of diabetic retinopathy, and the detection of exudates has important clinical significance in diabetic retinopathy diagnosis. A novel approach named superpixel multi-feature classification for the automatic detection of exudates is developed. First, an entire image is segmented into a series of superpixels considered as candidates. A supervised multi-variable classification algorithm is also introduced to distinguish the true exudates from the spurious candidates. Finally, a novel optic disc detection technique is designed to further improve the performance of classification accuracy. Extensive experiments are carried out on two publicly available online databases, DiaretDB1, and e-ophtha EX. Keywords-- Computer aided diagnosis, optic disc, exudates, structured learning, superpixel multifeature classification. I. INTRODUCTION Image processing analysis and computer vision techniques are increasing in prominence in all fields of medicine science. The fundus of the eye is the interior surface of the eye opposite to the lens and includes the retina, optic disc, macula, fovea, and posterior pole. The fundus can be examined by ophthalmoscopy or fundus photography. The Optic Disc (OD) or optic nerve head is the point of exit for ganglion cell axons leaving the eye because there are no rods or cones overlying the optic disc, it corresponds to a small blind spot in each eye. The ganglion cell axons from the optic nerve after they leave the eye and the retina is the film at the back of the eye, which receives light images and sends them to the brain. The leaky vessels can lead to haemorrhages (spots of