Retinal vessel segmentation from a hyperspectral camera images

Abstract

In this paper, a vessel segmentation method from hyperspectral retinal images based on the Multi-Scale Line Detection algorithm is proposed. The method consists in combining segmentation information from several consecutive images obtained at specific wavelengths around the green channel to produce an accurate segmentation of the retinal vessel network. Images obtained from six subjects were used to evaluate the performance of the proposed method. Preliminary results suggest a potential advantage of combining multispectral information instead of using only the green channel in segmenting retinal blood vessels.