Blood vessel segmentation in fundus images and detection of Glaucoma

Blood vessel segmentation of fundus images has obtained considerable importance during the past few years since it facilitates the early detection of eye diseases. A method based on high pass filtering and morphological operation is introduced in the proposed method for vessel segmentation. The blood vessel segmentation in turn helpsto provide a method for the detection of Glaucoma. In many of the earlier detection methods, analysis of cup to disc ratio is performed. But here the glaucoma is detected by means of ISNT ratio. The analysis is performed on Glaucomatous and normal eye. Ten images of each are collected from the database and ISNT ratio is calculated on each. The advantage of the method is that by calculating the area of blood vessels in each of the four quadrant of the eye, glaucoma can be detected with less complexity in a simpler manner.