文件名称:otsu2
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2012-11-26
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- 1kb
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- 提 供 者:
- Mingr*****
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大津阈值分割法,也称最大类间方差法,利用图像的灰度分布密度函数定义图像的交叉熵。
交叉熵可看作是两个概率系统(即图像背景及目标)的信息量之间的差异。求出的交叉熵越大,则分割效果越好。
-Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-entropy. Cross-entropy can be seen as both the probability of system (that is, the image background and objectives) the difference between the amount of information. Obtained the greater the cross-entropy, then partition the better.
交叉熵可看作是两个概率系统(即图像背景及目标)的信息量之间的差异。求出的交叉熵越大,则分割效果越好。
-Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-entropy. Cross-entropy can be seen as both the probability of system (that is, the image background and objectives) the difference between the amount of information. Obtained the greater the cross-entropy, then partition the better.
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otsu2.m