ABSTRACT
ABSTRACT: Segmentation of blood vessels from retinal images plays a crucial role for diagnosing eye diseases. In this paper, we propose an automatic segmentation method for blood vessels in retinal images. Firstly, we preprocess the retinal images to enhance vessels and overcome the lighting variation. Then, a graph-based algorithm is exploited to partition the retinal image into multiple regions. Finally, we classify each region as retinal region or non-vessel region with K-mean algorithm. The proposed method is validated on the publicly available DRIVE database, and compared with the state-of-the-art algorithms.
