This paper introduces a new whole binarization method by using image gray statistical characteristic value as threshold.
本文给出了一种利用图像灰度统计特征值为阈值的全局二值化方法。
A method is presented to calculate automatically the best gray threshold, which is suitable for images under different scanning resolutions.
提出一种灰度阈值自动计算方法，适合于自动计算不同扫描分辨率下的图像的最佳灰度阈值。
In this paper, the method for the optimal gray threshold is given, which is based on the maximum class separation distance criterion of pattern recognitive decision theory.
利用基于模式识别决策理论的最大类间距准则，给出了求解最佳分割灰度门限的方法。
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