针对参数活动轮廓模型的缺点，学者们提出了水平集模型。
Aiming at the disability of parametric active contour models, people proposed Level Set Methed.
对于参数活动轮廓模型，研究区域信息对图像分割的影响。
Parametric active contour model incorporating regions information was studied for image segmentation.
常用的活动轮廓模型主要包括参数活动轮廓模型和几何活动轮廓模型。
In general, active contour Models include parametric active contour model and geometric active model.
参数活动轮廓模型采用点集或B -样条曲线来表示模型的轮廓线，具有运算效率高的特点。
Parametric active contours represent their contours by the point sets or B-splines, and they have the efficient performance on image segmentation.
本文在分析参数活动轮廓模型及其改进模型的基础上，提出了基于距离均衡化的自适应动态轮廓模型。
On the basis of analyzing the Snake model and improved model, the adaptive active contour model based on distance equalization is proposed.
我们在分析参数活动轮廓和几何活动轮廓模型的基础上，提出最小方差参数活动轮廓模型，并成功应用于医学图像自动分割。
After analyzing snake and geometric active contour model, a minimum variation snake model was proposed and successfully applied to weak edge medical image segmentation.
相对于参数活动轮廓模型，几何活动轮廓模型具有很多的优点，如计算的简单性和在变形的过程中能够处理曲线的拓扑变化，等等。
Geometric active contour model has many advantages over parametric active contour model, such as computational simplicity and the ability to change curve topology during deformation, et al.
相对于参数活动轮廓模型，几何活动轮廓模型具有很多的优点，如计算的简单性和在变形的过程中能够处理曲线的拓扑变化，等等。
Geometric active contour model has many advantages over parametric active contour model, such as computational simplicity and the ability to change curve topology during deformation, et al.
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