Please use this identifier to cite or link to this item: https://doi.org/10.1109/TBME.2006.888831
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dc.titleAutomated optic disk boundary detection by modified active contour model
dc.contributor.authorXu, J.
dc.contributor.authorChutatape, O.
dc.contributor.authorChew, P.
dc.date.accessioned2016-11-08T09:58:39Z
dc.date.available2016-11-08T09:58:39Z
dc.date.issued2007-03
dc.identifier.citationXu, J., Chutatape, O., Chew, P. (2007-03). Automated optic disk boundary detection by modified active contour model. IEEE Transactions on Biomedical Engineering 54 (3) : 473-482. ScholarBank@NUS Repository. https://doi.org/10.1109/TBME.2006.888831
dc.identifier.issn00189294
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/129794
dc.description.abstractThis paper presents a novel deformable-model-based algorithm for fully automated detection of optic disk boundary in fundus images. The proposed method improves and extends the original snake (deforming-only technique) in two aspects: clustering and smoothing update. The contour points are first self-separated into edge-point group or uncertain-point group by clustering after each deformation, and these contour points are then updated by different criteria based on different groups. The updating process combines both the local and global information of the contour to achieve the balance of contour stability and accuracy. The modifications make the proposed algorithm more accurate and robust to blood vessel occlusions, noises, ill-defined edges and fuzzy contour shapes. The comparative results show that the proposed method can estimate the disk boundaries of 100 test images closer to the groundtruth, as measured by mean distance to closest point (MDCP) < 3 pixels, with the better success rate when compared to those obtained by gradient vector flow snake (GVF-snake) and modified active shape models (ASM). © 2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TBME.2006.888831
dc.sourceScopus
dc.subjectBoundary detection
dc.subjectDeformable model
dc.subjectFundus image
dc.subjectOptic disk
dc.subjectSnake
dc.typeArticle
dc.contributor.departmentOPHTHALMOLOGY
dc.description.doi10.1109/TBME.2006.888831
dc.description.sourcetitleIEEE Transactions on Biomedical Engineering
dc.description.volume54
dc.description.issue3
dc.description.page473-482
dc.description.codenIEBEA
dc.identifier.isiut000244498800014
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