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An unconditionally stable numerical method for bimodal image segmentation
- Authors
- Li, Yibao; Kim, Junseok
- Issue Date
- 25-11월-2012
- Publisher
- ELSEVIER SCIENCE INC
- Keywords
- Image segmentation; Level set model; Chan-Vese model; Lee-Seo model; Energy minimization; Unconditional stability
- Citation
- APPLIED MATHEMATICS AND COMPUTATION, v.219, no.6, pp.3083 - 3090
- Indexed
- SCIE
SCOPUS
- Journal Title
- APPLIED MATHEMATICS AND COMPUTATION
- Volume
- 219
- Number
- 6
- Start Page
- 3083
- End Page
- 3090
- ISSN
- 0096-3003
- Abstract
- In this paper, we propose a new level set-based model and an unconditionally stable numerical method for bimodal image segmentation. Our model is based on the Lee-Seo active contour model. The numerical scheme is semi-implicit and solved by an analytical method. The unconditional stability of the proposed numerical method is proved analytically. We demonstrate performance of the proposed image segmentation algorithm on several synthetic and real images to confirm the efficiency and stability of the proposed method. (C) 2012 Elsevier Inc. All rights reserved.
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