Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/91401
Title: A variant of the level set method and applications to image segmentation
Authors: Lie, Johan
Lysaker, Marius
Tai, Xue Cheng
Keywords: DRNTU::Science::Mathematics::Analysis
Issue Date: 2006
Source: Lie, J., Lysaker, M., & Tai, X. C. (2006). A variant of the level set method and applications to image segmentation. Mathematics of Computation, 75(255), 1155-1174.
Series/Report no.: Mathematics of Computation.
Abstract: In this paper we propose a variant of the level set formulation for identifying curves separating regions into different phases. In classical level set approaches, the sign of level set functions are utilized to identify up to 2n phases. The novelty in our approach is to introduce a piecewise constant level set function and use each constant value to represent a unique phase. If phases should be identified, the level set function must approach 2n predetermined constants. We just need one level set function to represent 2n unique phases, and this gains in storage capacity. Further, the reinitializing procedure requested in classical level set methods is superfluous using our approach. The minimization functional for our approach is locally convex and differentiable and thus avoids some of the problems with the nondifferentiability of the Delta and Heaviside functions. Numerical examples are given, and we also compare our method with related approaches.
URI: https://hdl.handle.net/10356/91401
http://hdl.handle.net/10220/4604
ISSN: 0025-5718
DOI: http://dx.doi.org/10.1090/S0025-5718-06-01835-7
Rights: Mathematics of Computation @ copyright 2006 American Mathematical Society. The journal's website is located at http://www.ams.org/mcom/2006-75-255/S0025-5718-06-01835-7/home.html.
metadata.item.grantfulltext: open
metadata.item.fulltext: With Fulltext
Appears in Collections:SPMS Journal Articles

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