Optic Disc Segmentation Based On Watershed Transform

The retinal fundus photograph is widely used in the diagnosis and treatment of various eye diseases such as diabetic retinopathy and glaucoma. Medical image analysis and processing has great significance in the field of medicine. Segmentation in eye imaging provides an important role for calculating the geometric shape and size of optic disc and anterior segment and abnormal growth of any region in the eye. It automatically and precisely calculates the values of place, position and area of the contour and structural part of the image required by ophthalmologists.An efficient detection of optic disc (OD) in colour retinal images is a significant task in an automated retinal image analysis system. Most of the algorithms developed for OD detection are especially applicable to normal and healthy retinal images. It is a challenging task to detect OD in all types of retinal images, that is, normal, healthy images as well as abnormal, that is, images affected due to disease. This paper discusses to automatically segment the optic disc from a fundus image. For the detection of the optic disc, first step is to find the position approximately. Then find the exact contours by means of the watershed transformation. The method for the extraction of the optic disc contour is mainly based on mathematical morphology along with thresholding and watershed transform. Keywords— WATERSHED,OPTIC DISC,PCA,RETINAL,DIGITAL FUNDUS IMAGES