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。
The arithmetic problem of Markov optimum solution under a new principle named probability threshold value principle is discussed.
在一种新的准则概率阈值准则下讨论马尔可夫决策的最优解的算法问题。
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