"Retinal vessel segmentation based on flower pollination search algorithm"

Citation:
E. Emary, H. M. Zawbaa, boul Ella Hassanien, M. F. Tolba, and V. Snasel, ""Retinal vessel segmentation based on flower pollination search algorithm"", The 5th International Conference on Innovations in Bio-Inspired Computing and Applications (Springer), Ostrava, Czech Republic., 23-24 June, 2014.

Date Presented:

23-24 June

Abstract:

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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