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Title: | Detection of retinal vascular bifurcations by trainable V4-like filters |
Other Titles: | Computer analysis of images and patterns. Lecture notes in computer science |
Authors: | Azzopardi, George Petkov, Nicolai |
Keywords: | Image processing Visual cortex Retina -- Imaging |
Issue Date: | 2011 |
Publisher: | Springer |
Citation: | Azzopardi G., & Petkov N. (2011) Detection of retinal vascular bifurcations by trainable V4-Like filters. In P. Real, D. Diaz-Pernil, H. Molina-Abril, A. Berciano & W. Kropatsch (Eds.), Computer analysis of images and patterns. Lecture notes in computer science, vol. 6854 (pp. 451-459). Springer, Berlin, Heidelberg. |
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/123456789/26330 |
ISBN: | 9783642236716 |
Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
File | Description | Size | Format | |
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BookChapter_Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters.pdf | 403.1 kB | Adobe PDF | View/Open |
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