摘要
图像分割是图像处理中的一个重要问题。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。实验结果表明,本算法确定的阈值具有更佳的分割效果。
Image segmentation is a difficult problem in digital image processing. 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.The experimental results show that the threshold value determined in this way is optimal.
关键词
图像分割
最大熵
阈值
最大类间方差
一致性准则
图像处理
image segmentation
maximum entropy
threshold value
maximum between-cluster variance
uniformity measure
