然而在实际应用中，分水岭算法所给出的分割结果常 常带有过度分割（over-segmentation）的问题巧1，因此必须设计各种策略以减 少分割结果中的区域个数，从而最大限度地克服噪声干扰等因素的影响。
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介绍了围线积分法区域标号和灰度均匀度分割准则的设计。
The recursively increasing threshold method is first proposed. Then the method of contour integration region labeling and the design of intensity homogeneity segmentation criterion are presented.
如果灰度均匀度不满足灰度均匀度分割准则，则增加分割阈值，对该区域进行再分割。
If the intensity homogeneity is not satisfied with a segmentation criterion, it is re-segmented by increasing threshold. This process is iterated till no region needs resegmented.
为了使相似性衡量尺度与样本特征的分布特点相适应，提出利用相似度分割特征集的混合核函数构造方法。
In order to adjust the similarity metrics to the distribution of the feature, a kernel function construction based on feature set division is proposed.
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