Please use this identifier to cite or link to this item:
Title: Directional gradient vector flow for snakes
Authors: Krishnan, Shankar M.
Cheng, Jierong
Foo, Say Wei
Issue Date: 2004
Source: Cheng, 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.
Abstract: Snakes, 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.
DOI: 10.1109/ISSPIT.2004.1433748
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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

Files in This Item:
File Description SizeFormat 
C87-SP_306-ISSPIT04Italy-CJ2.pdfPublished version158.97 kBAdobe PDFThumbnail

Page view(s) 5

Updated on Jun 23, 2022

Download(s) 5

Updated on Jun 23, 2022

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.