...数；阈值分割； [gap=1053]Key words:edge detection; fuzzy enhancement; subjection function; threshold value segmentation ...
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According to the distribution of gray-scale for blob targets and array targets, this dissertation researches three methods including method based on fuzzy threshold value segmentation、fuzzy threshold segmentation method based on genetic algorithm and ostu method.
根据阵列目标以及团块目标图像灰度的分布情况,本文分别研究了模糊阈值分割法、结合遗传算法的模糊阈值分割法、最大类间方差分割法。
参考来源 - 基于形状特征的光学图像检索方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Based on maximum between-cluster variance method and uniformity measure, this paper USES maximum entropy principle to select the gray-level threshold value for image segmentation.
在最大类间方差法和一致性准则法的基础上，运用最大熵原理来选择灰度阈值对图像进行分割。
Firstly, the original images were segmented several regions by the threshold segmentation and the segmentation value of voxels could be obtained.
通过对两幅断层图像进行门限分割，获得体素的分割值。
The optimum threshold value was obtained and accurate segmentation of hydrophobic image was realized, which can meet the need of the classification of hydrophobicity levels based on BP neural network.
采用基于最大类间方差的遗传分割法通过反复迭代搜索得到较优的分割阈值，实现了憎水性图像的准确分割，可满足后续基于BP神经网络的憎水性等级的判定。
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