Traditional deformable model based segmentation is a method merely based on edge information, which does not make full use of image information.
传统的基于可变模型的分割方法是一种只基于边界信息的分割方法，就充分利用图像信息的角度来说有其局限性。
A segmental deformable model for image segmentation was presented and affine invariants were introduced into the model's energy function.
提出了一种用于图像分割的分段可变形模型，并在模型的能量函数中引入了仿射不变量信息。
Contour extraction based on deformable model is a promising and vigorously researched issue now.
基于可变形模型的轮廓提取方法是目前研究的热点。
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