Retinal Vessel Segmentation Based on Flower Pollination Search Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093039" target="_blank" >RIV/61989100:27240/14:86093039 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-08156-4_10" target="_blank" >http://dx.doi.org/10.1007/978-3-319-08156-4_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-08156-4_10" target="_blank" >10.1007/978-3-319-08156-4_10</a>

Result language
angličtina
Original language name
Retinal Vessel Segmentation Based on Flower Pollination Search Algorithm
Original language description
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 apublicly 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. Springer International Publishing Switzerland 2014.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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