Fuzzy homogeneity approach to multilevel thresholding

Fuzzy homogeneity approach to multilevel thresholding
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DOI:
10.1109/83.701171
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发表时间:
1998-07
期刊:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
影响因子:
--
通讯作者:
Heng-Da Cheng;C. H. Chen;H. Chiu;H. Xu
Heng-Da Cheng;C. H. Chen;H. Chiu;H. Xu
中科院分区:
其他
文献类型:
--
作者:
Heng-Da Cheng;C. H. Chen;H. Chiu;H. Xu

文献摘要

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像素间的空间模糊度具有内在的连续性而非随机性,因此,传统的方法可能无法很好地解决这一问题。我们提出模糊同质向量来处理像素之间的灰度和空间不确定性,并执行多级阈值。实验结果表明,该方法的效果优于基于直方图的算法。
The spatial ambiguity among pixels has inherent vagueness rather than randomness, therefore, the conventional methods might not work well. We propose fuzzy homogeneity vectors to handle the greyness and spatial uncertainties among pixels, and to perform multilevel thresholding. The experimental results prove that the proposed approach works better than the histogram-based algorithms.