Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters

  title={Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters},
  author={George Azzopardi and Nicolai Petkov},
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… CONTINUE READING
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Key Quantitative Results

  • 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.


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