Please use this identifier to cite or link to this item:
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.
Appears in Collections:Scholarly Works - FacICTAI

Files in This Item:
File Description SizeFormat 
Detection_of_Retinal_Vascular_Bifurcations_by_Trainable_V4-Like_Filters_2011.pdf446.46 kBAdobe PDFView/Open
Program_NVPHBV_Spring_Meeting_2011.pdfConference Program285.28 kBAdobe PDFView/Open

Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.