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。
This algorithm set threshold to distinguish impulse noise point, through variance rate of gray level. The information of every impulse noise point is noted in a array.
该算法通过灰度变化率设置阈值判别脉冲噪声点，并将脉冲噪声点信息记录到与图像对应的噪声记录数组中。
It presents a new region growing algorithm with gray level co-occurrence matrix to extract the focus region, the threshold segmentation is applied to improve the edge of segmented region.
为了提取局部感兴趣区域，给出了一种基于灰度层共现矩阵的区域增长算法，分割出病灶区域，再结合迭代阈值算法进行病灶边界的磨合。
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