节点文献
基于最大熵的灰度阈值选取方法
A Method for Gray-Level Threshold Selection Based on Maximum Entropy
【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。
【Abstract】 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;
【Key words】 image segmentation; maximum entropy; threshold value; maximum between-cluster variance; uniformity measure;
【Key words】 image segmentation; maximum entropy; threshold value; maximum between-cluster variance; uniformity measure;
- 【文献出处】 武汉科技大学学报(自然科学版) ,Journal of Wuhan Yejin University of Science and Technology , 编辑部邮箱 ,2004年01期
- 【分类号】TP391.4
- 【被引频次】111
- 【下载频次】914