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https://www.um.edu.mt/library/oar/handle/123456789/27045
Title: | Detection of retinal vascular bifurcations by trainable v4-like filters |
Authors: | Azzopardi, George Petkov, Nicolai |
Keywords: | Retinal vasculitis Digital filters (Mathematics) Visual cortex |
Issue Date: | 2011 |
Publisher: | Image Sciences Institute (ISI) at the UMC Utrecht |
Citation: | Azzopardi, G., & Petkov, N. (2011). Detection of retinal vascular bifurcations by trainable v4-like filters. NVPHBV Spring Meeting 2011, Utrecht. |
Abstract: | The detection of vascular bifurcations in retinal fundus images is important for finding signs of various cardiovascular diseases. We propose a novel method to detect such bifurcations. Our method is implemented in trainable filters that mimic the properties of shape-selective neurons in area V4 of visual cortex. Such a filter is configured by combining given channels of a bank of Gabor filters in an AND-gate-like operation. Their selection is determined by the automatic analysis of a bifurcation feature that is specified by the user from a training image. Consequently, the filter responds to the same and similar bifurcations. With only 25 filters we achieved a correct detection rate of 98.52% at a precision rate of 95.19% on a set of 40 binary fundus images, containing more than 5000 bifurcations. In principle, all vascular bifurcations can be detected if a sufficient number of filters are configured and used. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/27045 |
Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
File | Description | Size | Format | |
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Detection_of_Retinal_Vascular_Bifurcations_by_Trainable_V4-Like_Filters_2011.pdf | 446.46 kB | Adobe PDF | View/Open | |
Program_NVPHBV_Spring_Meeting_2011.pdf | Conference Program | 285.28 kB | Adobe PDF | View/Open |
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