A fingerprint image segmentation method based on 2d maximum between-cluster variance is suggested in this paper.
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。
First, block higher order statistics and threshold via local maximal between-cluster variance are used to get the motion detection mask.
该算法首先利用分块高阶统计算法和基于最大类间方差的阈值算法得到目标的运动区域检测模板。
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。
Variance analyses indicate the cluster intensity of this population is significant difference between the upper and lower crowns of citrus trees.
方差分析表明该种群的聚集强度在树冠的上、下部间差异显著。
Variance analyses indicate the cluster intensity of this population is significant difference between the upper and lower crowns of citrus trees.
方差分析表明该种群的聚集强度在树冠的上、下部间差异显著。
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