Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/91602
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dc.contributor.authorKrishnan, Shankar M.en
dc.contributor.authorCheng, Jierongen
dc.contributor.authorFoo, Say Weien
dc.date.accessioned2009-06-19T07:41:16Zen
dc.date.accessioned2019-12-06T18:08:43Z-
dc.date.available2009-06-19T07:41:16Zen
dc.date.available2019-12-06T18:08:43Z-
dc.date.copyright2004en
dc.date.issued2004en
dc.identifier.citationCheng, J., Foo, S. W., & Shankar, M. K. (2004). Directional gradient vector flow for snakes. 4th IEEE International Symposium on Signal Processing and Information Technology, (pp. 318-321). Singapore: School of Electrical and Electronic Engineering.en
dc.identifier.urihttps://hdl.handle.net/10356/91602-
dc.description.abstractSnakes, or active contour models, have been widely used in image segmentation. However, most present snake models cannot discern between positive and negative step edges. In this paper, a new type of dynamic external force for snakes named directional gradient vector flow (DGVF) is proposed to solve this problem by incorporating directional gradient information. It makes use of the gradients in both x and y directions and deals with the external force field for the two directions separately. In snake deformation, the DGVF field is utilized dynamically according to the orientation of snake in each iteration. Experiment results demonstrate that the DGVF snake provides a better segmentation than GVF snake in situations when edges of different directions are present and may pose confusion for segmentation.en
dc.format.extent4 p.en
dc.language.isoenen
dc.rights© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site.en
dc.titleDirectional gradient vector flow for snakesen
dc.typeConference Paperen
dc.contributor.conferenceIEEE International Symposium on Signal Processing and Information Technology (4th : 2004 : Rome, Italy)en
dc.identifier.doi10.1109/ISSPIT.2004.1433748en
dc.description.versionPublished versionen
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