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ICIP
2003
IEEE

A piecewise Gaussian model for profiling and differentiating retinal vessels

14 years 4 months ago
A piecewise Gaussian model for profiling and differentiating retinal vessels
Accurate measurement and identification of blood vessels could provide useful information to clinical diagnosis. A piecewise Gaussian model is proposed to describe the intensity distribution of vessel profile in this paper. The characteristic of central reflex is specially considered in the proposed model. The comparison with the single Gaussian model is performed, which shows that the piecewise Gaussian model is a more appropriate model for vessel profile. The obtained model parameters could be utilized in the identification of vessel type. The minimum Mahalanobis distance classifier is employed in the classification. 505 segments of vessels were tested. The success rate is 82.46% and 89.03% for the arteries and veins respectively.
Huiqi Li, Wynne Hsu, Mong-Li Lee, Hongyu Wang
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ICIP
Authors Huiqi Li, Wynne Hsu, Mong-Li Lee, Hongyu Wang
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