The algorithm mainly controls the size of the smoothing area and the mean variance threshold to select the maximum correlation area containing minimum noise interference.
该算法主要通过控制平滑区域大小和均方差阈值来选择受噪声干扰最小和最大相关区域。
The threshold of each leaf is calculated through the variance of each and the estimated noise variance of the entire image.
通过每一叶节点以及整个图像的噪声的估计方差变化计算叶节点阈值。
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。
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