An Automated Tool to Segment Blood Vessel from RGB Retinal Images

摘要

This paper proposes an approach to examine the condition of retinal blood vessel in the benchmark retinal images. An automated tool to segment the blood vessel is constructed with multi-scale matched filter along with the bat algorithm (BA). The chief motivation behind the use of BA is to discover optimal filter parameters to attain better segmentation accuracy. The proposed tool is tested using the benchmark DRIVE dataset. The experimental work is implemented using the Matlab software and the superiority of the constructed tool is appraised by computing the well known picture similarity and statistical measures. Finally, the superiority of the proposed approach is justified with a relative analysis against similar procedures available in the literature. The results of this paper confirm that, the implemented tool is efficient in extracting the blood vessel contrast to other techniques existing in the literature.