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Transition region-based active contour model for image segmentation

[+] Author Affiliations
Wenying Wen

Chongqing University, College of Mathematics and Statistics, Chongqing 401331, China

Chuanjiang He

Chongqing University, College of Mathematics and Statistics, Chongqing 401331, China

Meng Li

Chongqing University of Arts and Sciences, School of Mathematics and Finances, Chongqing 402160, China

J. Electron. Imaging. 22(1), 013021 (Feb 04, 2013). doi:10.1117/1.JEI.22.1.013021
History: Received June 29, 2012; Revised January 8, 2013; Accepted January 11, 2013
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Abstract.  Based on the curve evolution and the level set method, we proposed a geometric active contour model in a partial differential equation formulation. The evolution PDE is directly derived from the mean curvature motion with a transition region-based external force, and then is further simplified to a nonhomogeneous linear diffusion equation. Due to the desired sign property of the external force, the level set function starting with an arbitrary bounded function can adaptively move up or down in accordance with image information and has finally the opposite sign inside and outside the objects. The experiments show that the proposed model is very appropriate for a wider range of images, especially for real images with high noise and blurred boundaries.

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Citation

Wenying Wen ; Chuanjiang He and Meng Li
"Transition region-based active contour model for image segmentation", J. Electron. Imaging. 22(1), 013021 (Feb 04, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.1.013021


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