The improved algorithm divides the whole image into areas and selects the optimum threshold for each area according to the maximum entropy threshold and mean.
本文的方法把整个烟支图像分成小区域，在每一个区域中综合考虑最大熵和区域灰度均值来得到最优的阈值。
The maximum entropy approach is one of the most important threshold selection methods in image processing.
最大熵原则是图像处理中阈值选择的最常用方法之一。
Combining the two essential characteristics of the image, the gradient and the gray level, a threshold segmentation approach using maximum entropy with the gradient boundary control was proposed.
结合梯度和灰度这两种图像的本质特征，提出一种基于边界梯度控制的最大熵阈值分割方法。
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。
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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