Retinal Vessel Segmentation Based on Flower Pollination Search Algorithm

This paper presents an automated retinal blood vessels segmentation approach based on flower pollination search algorithm (FPSA). The flower pollination search is a new algorithm based on the flower pollination process of flowering plants. The FPSA searches for the optimal clustering of the given retinal image into compact clusters under some constrains. Shape features are used to further enhance the clustering results using local search method. The proposed retinal blood vessels approach is tested on a publicly available databases DRIVE a of retinal images. The results demonstrate that the performance of the proposed approach is comparable with state of the art techniques in terms of accuracy, sensitivity and specificity.

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