Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.patcog.2006.10.015
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dc.titleOptic disk feature extraction via modified deformable model technique for glaucoma analysis
dc.contributor.authorXu, J.
dc.contributor.authorChutatape, O.
dc.contributor.authorSung, E.
dc.contributor.authorZheng, C.
dc.contributor.authorChew Tec Kuan, P.
dc.date.accessioned2016-12-13T05:36:59Z
dc.date.available2016-12-13T05:36:59Z
dc.date.issued2007-07
dc.identifier.citationXu, J., Chutatape, O., Sung, E., Zheng, C., Chew Tec Kuan, P. (2007-07). Optic disk feature extraction via modified deformable model technique for glaucoma analysis. Pattern Recognition 40 (7) : 2063-2076. ScholarBank@NUS Repository. https://doi.org/10.1016/j.patcog.2006.10.015
dc.identifier.issn00313203
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/132826
dc.description.abstractA deformable-model based approach is presented in this paper for robust detection of optic disk and cup boundaries. Earlier work on disk boundary detection up to now could not effectively solve the problem of vessel occlusion. The method proposed here improves and extends the original snake, which is essentially a deforming-only technique, in two aspects: knowledge-based clustering and smoothing update. The contour deforms to the location with minimum energy, and then self-clusters into two groups, i.e., edge-point group and uncertain-point group, which are finally updated by the combination of both local and global information. The modifications enable the proposed algorithm to become more accurate and robust to blood vessel occlusions, noises, ill-defined edges and fuzzy contour shapes. The comparative results on the 100 testing images show that the proposed method achieves better success rate (94%) when compared to those obtained by GVF-snake (12%) and modified ASM (82%). The proposed method is extended to detect the cup boundary and then extract the disk parameters for clinical application, which is a relatively new task in fundus image processing. The resulted cup-to-disk (C/D) ratio shows good consistency and compatibility when compared with the results from Heidelberg Retina Tomograph (HRT) under clinical validation. © 2006 Pattern Recognition Society.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.patcog.2006.10.015
dc.sourceScopus
dc.subjectBoundary detection
dc.subjectCup
dc.subjectDeformable model
dc.subjectFundus image
dc.subjectOptic disk
dc.subjectSnake
dc.typeArticle
dc.contributor.departmentOPHTHALMOLOGY
dc.description.doi10.1016/j.patcog.2006.10.015
dc.description.sourcetitlePattern Recognition
dc.description.volume40
dc.description.issue7
dc.description.page2063-2076
dc.description.codenPTNRA
dc.identifier.isiut000246332300018
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