A Review on Vessel Extraction of Fundus Image to Detect Diabetic Retinopathy By Prof. Dr. S. S. Chorage & Sayali.S.Khot Pune University Abstract- Ophthalmology is an important term of medical field, which helps to visualize various diseases and treat them accordingly. Fundus images are processed so as to treat diseases like glaucoma, vein occlusions, and diabetic retinopathy (DR), obesity, glaucoma etc. There are types of supervised and unsupervised types of algorithms used so as to segment the Fundus images. There are three types of datasets available DRIVE, STARE and CHASE_DB1. These data sets are being segmented with the help of Laplace operator. This method makes preprocessing of images by using adaptive histogram equalization by CLAHE algorithm. The first step is to extract green channel and segment this image by using Laplace operator. GJCST-F Classification: I.4, B.4.2, I.3.3 AReviewonVesselExtractionofFundusImagetoDetectDiabeticRetinopathy Strictly as per the compliance and regulations of: Online ISSN: 0975-4172 & Print ISSN: 0975-4350 Publisher: Global Journals Inc. (USA) Type: Double Blind Peer Reviewed International Research Journal Volume 16 Issue 3 Version 1.0 Year 2016 Graphics & Vision Global Journal of Computer Science and Technology: F © 2016. Prof. Dr. S. S. Chorage & Sayali.S.Khot. This is a research/review paper, distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction inany medium, provided the original work is properly cited.