Adaptive thresholding based on active surface

Fei Liu; Yupin Luo; Xiaodan Song

doi:10.1117/12.477145

31 July 2002 Adaptive thresholding based on active surface

Fei Liu, Yupin Luo, Xiaodan Song

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477145
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

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.

Citation Download Citation

Fei Liu, Yupin Luo, and Xiaodan Song "Adaptive thresholding based on active surface", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477145

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