在此基础上提出了一种混合区域信息和边界信息的方法——基于融合颜色和强度先验信息的几何可变模型的医学图像分割算法。
Then a new method merging area information and edge information, geometric deformable model with color and intensity priors for medical image segmentation, is proposed.
为解决过度分割的问题，给出了区域的灰度特性和边界强度及区域尺寸相结合的融合准则。
To solve the problem of the over-segmentation, the criterions of region intensity and edge strength and region size are combined.
计算实践表明：选择适当的计算边界，用改变计算区域几何比例的方法可以求得稳定的应力强度因子。
The calculating example shows that a stable stress intensity factor can be obtained by selecting a proper calculating boundary and changing the geometric scale of the region.
在位相展开区域的边界上，位相展开的路径由像素的强度调制决定。
The path for phase unwrapping is determined by the intensity modulation in the pixels on the boundary of the phase unwrapped areas.
最后应用灰度齐次性准则和边界强度准则进行区域的融合，从而解决了过度分割问题。
Finally the application of gray-scale homogeneity criteria and guidelines for the border regions of intensity integration, in order to address the problem of over-segmentation.
然后定义分割片的特征边界和边界强度函数，用以表示各预分割区域边界上的形变模型；
Then we define the boundary strength function and the feature boundary of each patch, to construct a deformation contour on the patch's boundary.
然后定义分割片的特征边界和边界强度函数，用以表示各预分割区域边界上的形变模型；
Then we define the boundary strength function and the feature boundary of each patch, to construct a deformation contour on the patch's boundary.
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