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Optical Engineering

Multilayer level set method for multiregion image segmentation
Author(s): Jiangxiong Fang; Jie Yang; Enmei Tu; Zhenghong Jia; Nikola K. Kasabov
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Paper Abstract

The purpose of this study is to propose a novel method of a partition of an image domain into an adaptive number of regions using a multilayer foreground-filled method. First, two coupled curves based on a three-region Chan-Vese model, which is built based on the techniques of evolving simple closed planar curves by an explicit correspondence to minimize energy functional containing a fitting term and a regularization term, evolve simultaneously to segment images containing two objects and one background region in each image layer. Second, a foreground-filled technique is used to generate a new image and the three-region Chan-Vese model is repeated to segment the new image for the next image layer. To avoid the long iteration process for level set evolution, an efficient termination criterion is presented on the basis on the length change of an evolving curve. This iterative process is repeated until the background image layer is detected. Numerical experiments on some synthetic and real images have demonstrated the efficiency and robustness of our method.

Paper Details

Date Published: 1 June 2011
PDF: 14 pages
Opt. Eng. 50(6) 067013 doi: 10.1117/1.3593159
Published in: Optical Engineering Volume 50, Issue 6
Show Author Affiliations
Jiangxiong Fang, Shanghai Jiao Tong Univ. (China)
Jie Yang, Shanghai Jiao Tong Univ. (China)
Enmei Tu, Shanghai Jiao Tong Univ. (China)
Zhenghong Jia, Xinjiang Univ. (China)
Nikola K. Kasabov, Auckland Univ. of Technology (New Zealand)

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