ICIP 2006, Atlanta, GA

Slide Show

Atlanta Conv. & Vis. Bureau


My ICIP 2006 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.

Paper Detail

Session:Biomedical Image Segmentation and Quantitative Analysis
Time:Tuesday, October 10, 14:20 - 17:00
Presentation: Poster
Topic: Biomedical Imaging: Biomedical image segmentation and quantitative analysis
Authors: Hind Azegrouz; Heriot-Watt University 
 Emanuele Trucco; Heriot-Watt University 
Abstract: This paper describes a new framework for the automated tracking of the central retinal vein in retinal images. The procedure first computes a binary image of the retinal vasculature, then obtains the skeleton (medial axis) of the vascular network. Terminal and branching points of the network are then located, and the network converted into a graph representation including length and thickness information for all vessels. Finally, a MaxMin approach is used to locate the central vein:Central vein candidates are the minimal paths from the optic disk to all terminal nodes found using Dijkstra algorithm. The actual central vein is selected among all the candidates by maximizing a merit function estimating the total vessel area in the image. Results are presented and compared with those provided by a manual classification on 20 images of the DRIVE set. An overall performance ratio of 92% is achieved.