Blood vessel segmentation using multi-scale quadrature filtering
Pattern Recognition Letters
Palm vein extraction and matching for personal authentication
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Screening diabetic retinopathy through color retinal images
ICMB'08 Proceedings of the 1st international conference on Medical biometrics
A novel method for retinal vessel tracking using particle filters
Computers in Biology and Medicine
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Computer based analysis for automated segmentation of blood vessels in retinal images will help eye care specialists screen larger populations for vessel abnormalities. However, automated retinal segmentation is complicated by the fact that the width of retinal vessels can vary from very large to very small, and that the local contrast of vessels is unstable, especially in unhealthy ocular fundus. We propose a novel method that takes these facts into account. Our method includes a multiscale analytical scheme using Gabor filters and scale production, and a threshold probing technique utilizing the features of retinal vessel network. Our method is good for detecting large and small vessels concurrently. It also offers an efficient way to denoise and enhance the responses of line filters, allowing the detection of vessels with low local contrast.