Segmentation and Detection of Optic Disc Using Kmeans Clustering
نویسندگان
چکیده
Diabetic retinopathy and glaucoma are one of the major cause of blindness. Early stage segmentation and detection of optic disc may be of great help to ophthalmologist for treatment of patient before any serious complications. In this paper new methodology is proposed for the detection of the optical disk from the retinal images. Input image is first preprocessed using spatial average filtering on the green color band. Then the preprocessed image is divided into clusters using kmeans clustering algorithm. Cluster with maximum intensity is filtered using connected component to segment out the optic disc. Optic disc is detected by comparing the segmented optic disc and the ground truth respectively. The proposed method is tested on four public available data sets, DIARETDB0, DIARETDB1, DRIVE and STARE. This method offers a successful detection of OD which may help in diagnosis of various retinal abnormalities. Index Terms diabetic retinopathy , optic disc, kmeans clustering. —————————— ——————————
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