Segmentation of motion objects based on graph cuts and C-V model;
将两种基于图论的算法图切割与随机游走应用于运动对象的分割。
The empirical research shows that the C-V model with negative area parameter can segment some images that the original C-V model is not applicable to.
实验研究表明：面积项系数取负值时，C - V模型能够分割某些原来不适用的图像。
Compared with traditional image segmentation methods, C-V model has some special advantages: it can accommodate itself to the changes of the object's Geometric topology and obtain continuous boundary.
因而C - V模型具有其它传统图像分割方法不具备的许多优点：它可以自动适应目标几何结构的拓扑变化，获得连续边缘。
The BCF model about smooth interface growth kinetics and the C V model about impurity stopping step have been collided with the AFM study results.
观察和研究的结果表明：关于光滑界面生长动力学的BCF模型、关于杂质对台阶生长阻碍作用的C V模型等已受到冲击与挑战；
The simulation results show that the improved model can predict the polarization behavior of ferroelectric layer, the C-V characteristic and memory window of MFIS capacitor more accurately.
模拟结果表明，改进模型能够更精确地预测MF IS电容器铁电层的极化行为、电容器的C - V特性及记忆窗口。
The simulation results show that the improved model can predict the polarization behavior of ferroelectric layer, the C-V characteristic and memory window of MFIS capacitor more accurately.
模拟结果表明，改进模型能够更精确地预测MF IS电容器铁电层的极化行为、电容器的C - V特性及记忆窗口。
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