Please use this identifier to cite or link to this item:
|Title:||Distraction in GVF-based segmentation||Authors:||Cheng, Jierong
Foo, Say Wei
|Issue Date:||2007||Source:||Cheng, J., & Foo, S. W. (2007). Distraction in GVF-based segmentation. 2007 6th International Conference on Information, Communications & Signal Processing (ICICS).||Abstract:||For complex images with the presence of stronger edges near the desired boundary, the snake used in gradient vector flow (GVF)-based segmentation method may be distracted to converge wrongly on the boundary with stronger edges. The factors and conditions which bring about this phenomenon are investigated in detail and the results are described in this paper. Possible solutions to the problem are also presented.||URI:||https://hdl.handle.net/10356/91131
|DOI:||http://dx.doi.org/10.1109/ICICS.2007.4449682||Rights:||© 2007 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.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Conference Papers|
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.