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。
Firstly, the original images were segmented several regions by the threshold segmentation and the segmentation value of voxels could be obtained.
通过对两幅断层图像进行门限分割，获得体素的分割值。
After researching the image segmentation, we get the two-value image of the image of down with the threshold of it.
以及图像分割技术的研究，用最佳的阈值对羽绒图像进行阈值分割，得到满足羽绒检测要求的二值图像。
The optimum threshold value was obtained and accurate segmentation of hydrophobic image was realized, which can meet the need of the classification of hydrophobicity levels based on BP neural network.
采用基于最大类间方差的遗传分割法通过反复迭代搜索得到较优的分割阈值，实现了憎水性图像的准确分割，可满足后续基于BP神经网络的憎水性等级的判定。
Firstly, the algorithm segments the original images with the threshold segmentation and obtains the segmentation value of voxels.
通过对两幅断层图像进行门限分割，获得体素的分割值。
Firstly, the algorithm segments the original images with the threshold segmentation and obtains the segmentation value of voxels.
通过对两幅断层图像进行门限分割，获得体素的分割值。
应用推荐