Early geometric deformable model only considered the geometrical nature of the human body.
早期的几何形变模型仅仅反映了人体形变的几何特征。
There are two types of deformable models: parametric deformable model and geometric deformable model.
变形模型分为参数变形模型和几何变形模型两种。
This paper do some research on the principle of the geometric deformable model level set, and introduce the narrow band method.
本文首先对几何变形模型和水平集的相关理论进行了研究，并针对水平集改进算法-窄带法的应用进行了探讨。
Then a new method merging area information and edge information, geometric deformable model with color and intensity priors for medical image segmentation, is proposed.
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。
This thesis investigates and then modifies the existing geometric deformable model by integrating area and edge information and satisfactory result has been successfully reached.
作者从融合图像区域信息和边界信息的角度，对现有几何可变模型进行了改进，取得了比较理想的研究结果。
This thesis investigates and then modifies the existing geometric deformable model by integrating area and edge information and satisfactory result has been successfully reached.
作者从融合图像区域信息和边界信息的角度，对现有几何可变模型进行了改进，取得了比较理想的研究结果。
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