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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.
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