DocumentCode :
900698
Title :
A binary level set model and some applications to Mumford-Shah image segmentation
Author :
Lie, Johan ; Lysaker, Marius ; Tai, Xue-Cheng
Author_Institution :
Dept. of Math., Univ. of Bergen, Johannes Brunsgate, Norway
Volume :
15
Issue :
5
fYear :
2006
fDate :
5/1/2006 12:00:00 AM
Firstpage :
1171
Lastpage :
1181
Abstract :
In this paper, we propose a PDE-based level set method. Traditionally, interfaces are represented by the zero level set of continuous level set functions. Instead, we let the interfaces be represented by discontinuities of piecewise constant level set functions. Each level set function can at convergence only take two values, i.e., it can only be 1 or -1; thus, our method is related to phase-field methods. Some of the properties of standard level set methods are preserved in the proposed method, while others are not. Using this new method for interface problems, we need to minimize a smooth convex functional under a quadratic constraint. The level set functions are discontinuous at convergence, but the minimization functional is smooth. We show numerical results using the method for segmentation of digital images.
Keywords :
image segmentation; partial differential equations; piecewise constant techniques; set theory; Mumford-Shah image segmentation; binary level set model; partial differential equations; phase-field methods; piecewise constant level set functions; quadratic constraint; Computational modeling; Convergence; Digital images; Helium; Image analysis; Image segmentation; Inverse problems; Level set; Mathematics; Reservoirs; Image processing; PDE; image segmentation; level set; piecewise constant level set functions; variational; Algorithms; Artificial Intelligence; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Logistic Models; Models, Statistical; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2005.863956
Filename :
1621239
Link To Document :
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