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Proceedings Paper

Adaptive thresholding based on active surface
Author(s): Fei Liu; Yupin Luo; Xiaodan Song
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Paper Abstract

Thresholding is difficult for images with poor contrast or illumination, intensive noise and non-planar background. An active surface based adaptive thresholding algorithm is proposed in this paper. Derived from the idea of active contour models, an active surface model is used to estimate the background surface ofthe image. Subtraction ofthis active surface from the original image surface is to remove the influence of uneven background and poor illumination, and convert the problem to a global threshold one. Thus a proper choice of the global threshold will obtain a desirable binary result.

Paper Details

Date Published: 31 July 2002
PDF: 8 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477145
Show Author Affiliations
Fei Liu, Tsinghua Univ. (China)
Yupin Luo, Tsinghua Univ. (China)
Xiaodan Song, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics

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