Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/26338| Title: | Vessels delineation in retinal images using COSFIRE filters |
| Authors: | Azzopardi, George Strisciuglio, Nicola Vento, Mario Petkov, Nicolai |
| Keywords: | Pattern recognition systems Retina -- Imaging |
| Issue Date: | 2014-04 |
| Publisher: | Springer Verlag |
| Citation: | Azzopardi, G., Strisciuglio, N., Vento, M., & Petkov, N. (2014). Vessels delineation in retinal images using COSFIRE filters. Machine Vision and Applications, 17(8), 1137-1149. |
| Abstract: | Retinal image analysis is widely used in the medical community to diagnose several pathologies. The automatic analysis of such images is important to perform more ef-ficient diagnosis. We propose an effective method for the delineation of blood vessels in retinal images using train-able bar-selective COSFIRE filters. The results that we achieve on three publicly available data sets (DRIVE: Se = 0.7655, Sp = 0.9704; STARE: Se = 0.7763, Sp = 0.9695; CHASE DB1: Se = 0.7699, Sp = 0.9476) demonstrate the effectiveness of the proposed approach. |
| URI: | https://www.um.edu.mt/library/oar//handle/123456789/26338 |
| Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ConferencePaper_Vessels delineation in retinal images using COSFIRE filters.pdf | 294.78 kB | Adobe PDF | View/Open |
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