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

Fei Liu; Yupin Luo; Xiaodan Song; Dongcheng Hu

doi:10.1117/1.1556313

1 April 2003 Active surface model-based adaptive thresholding algorithm by repulsive external force

Fei Liu, Yupin Luo, Xiaodan Song, Dongcheng Hu

Journal of Electronic Imaging, Vol. 12, Issue 2, (April 2003). https://doi.org/10.1117/1.1556313

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) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Fei Liu, Yupin Luo, Xiaodan Song, and Dongcheng Hu "Active surface model-based adaptive thresholding algorithm by repulsive external force," Journal of Electronic Imaging 12(2), (1 April 2003). https://doi.org/10.1117/1.1556313

Published: 1 April 2003

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