G. Azzopardi and N. Petkov, “Detection of retinal vascular bifurcations by rotation-, scale- and reflection-invariant COSFIRE filters”, Computer Based Medical System (CBMS, Università Campus Bio-Medico di Roma, Italy) IEEE, pp. 1-4, 2012.
[abstract] [pdf] [bib]
We propose trainable filters, which we call COSFIRE (Combination Of Shifted FIlter REsponses), and use to detect vascular bifurcations in retinal images. We configure a COSFIRE filter to be selective for a bifurcation that is specified 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 similar 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.