SEGMENTATION AND SHAPE ANALYSIS

Active surface model-based adaptive thresholding algorithm by repulsive external force

[+] Author Affiliations
Fei Liu, Yupin Luo, Xiaodan Song, Dongcheng Hu

Tsinghua University, Department of Automation, Beijing, 100084, China E-mail: liufei98@mails.tsinghua.edu.cn

J. Electron. Imaging. 12(2), 299-306 (Apr 01, 2003). doi:10.1117/1.1556313
History: Received Apr. 23, 2002; Revised Sep. 6, 2002; Accepted Sep. 17, 2002; Online April 11, 2003
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Inspired by the idea that threshold surface always intersects the image surface at high gradient points, an active surface-based adaptive thresholding algorithm is proposed to get the binarized result. In this model, the external force is designed to be repulsive from the image surface, thus at the equilibrium state the active surface tends to cover the supporting points of high gradient with smooth property, as well as be away from the image surface locally, which makes the obtained threshold surface properly separate the foreground and background. The description of the algorithm is in a simple and reasonable energy functional form, and only two parameters need to be tuned, which gives more convenience to the operation. Analysis and comparison for the experimental results reveal that it cannot only give the proper thresholding result but also restrain the occurrence of the ghost phenomenon. © 2003 SPIE and IS&T.

© 2003 SPIE and IS&T

Topics

Algorithms

Citation

Fei Liu ; Yupin Luo ; Xiaodan Song and Dongcheng Hu
"Active surface model-based adaptive thresholding algorithm by repulsive external force", J. Electron. Imaging. 12(2), 299-306 (Apr 01, 2003). ; http://dx.doi.org/10.1117/1.1556313


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