Vascular Tree Segmentation in Fundus Images Using Curvelet Transform

摘要

In retinal images, vessel segmentation methods are an important component of circulatory blood vessel analysis systems. This paper introduces an effective approach to segment the vessels in the fundus images. The fundus images are first enhanced using curvelet transform, then segmentation is performed using morphological operations with a modified structuring element and length filtering. The proposed method has been tested on 40 images of the DRIVE database. The results demonstrate that the proposed algorithm segments blood vessels in the retinal images effectively with an accuracy of 94.33%.