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。
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.
接着根据靶标图像和光斑图像在灰度特征上的差异，采用了最大类间方差自适应分割法实现了光靶图像的分割。
Thirdly, according to the differences of target images and spot images in gray-scale features, Otsu adaptive segmentation method is adopt to realize the image segmentation.
本文提出了一种基于二维最大类间方差的指纹图像分割算法。
A fingerprint image segmentation method based on 2d maximum between-cluster variance is suggested in this paper.
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