Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/40493
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dc.titleA piecewise Gaussian model for profiling and differentiating retinal vessels
dc.contributor.authorLi, H.
dc.contributor.authorHsu, W.
dc.contributor.authorLee, M.L.
dc.contributor.authorWang, H.
dc.date.accessioned2013-07-04T08:05:35Z
dc.date.available2013-07-04T08:05:35Z
dc.date.issued2003
dc.identifier.citationLi, H.,Hsu, W.,Lee, M.L.,Wang, H. (2003). A piecewise Gaussian model for profiling and differentiating retinal vessels. IEEE International Conference on Image Processing 1 : 1069-1072. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40493
dc.description.abstractAccurate 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.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleIEEE International Conference on Image Processing
dc.description.volume1
dc.description.page1069-1072
dc.description.coden85QTA
dc.identifier.isiutNOT_IN_WOS
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