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https://www.um.edu.mt/library/oar/handle/123456789/26336
Title: | Detection of retinal vascular bifurcations by rotation-, scale- and reflection-invariant COSFIRE filters |
Authors: | Azzopardi, George Petkov, Nicolai |
Keywords: | Computer vision Pattern recognition systems Retina -- Imaging |
Issue Date: | 2012-06 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Azzopardi, G., & Petkov, N. (2012). Detection of retinal vascular bifurcations by rotation-, scale-and reflection-invariant COSFIRE filters. In 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2012, 1-4. |
Abstract: | We propose trainable filters, which we call COSFIRE (Combination Of Shifted FIlter REsponses), and use to de- tect vascular bifurcations in retinal images. We configure a COSFIRE filter to be selective for a bifurcation that is speci- fied by a user in a single-step training phase. The automatic configuration comprises the selection of channels of a bank of Gabor filters and the determination of certain blur and shift parameters. A COSFIRE filter response is computed as the geometric mean of the blurred and shifted responses of the selected Gabor filters. The proposed filters share sim- ilar properties with some shape-selective neurons in visual cortex. With only five filters we achieve a recall of 98.57% at a precision of 95.37% on the 40 binary retinal images (from DRIVE), containing more than 5000 bifurcations. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/26336 |
Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
File | Description | Size | Format | |
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ConferencePaper_Detection of retinal vascular bifurcations by rotation-_scale-_and reflection-invariant COSFIRE filters.pdf | 478.2 kB | Adobe PDF | View/Open |
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