本文提出了迭代梯度矢量流参数变形模型(IGVF)。
In this thesis, a new deformable model called Iterative Gradient Vector Flow (IGVF) is developed.
给出一种结合梯度矢量流(GVF)及椭圆变形模板的椭圆提取新算法。
A new ellipse extraction algorithm based on the ellipse-special deformable templates and gradient vector flow (GVF) was proposed.
提出了一种基于梯度矢量流(GVF)的快速收敛骨架snake算法。
We presented a novel and fast convergent skeleton snake model based on gradient vector flow (GVF).
通过梯度矢量流模型迭代求解，解决道路凹陷位置逼近问题，最终实现道路提取。
At the same time, how to get the approximate road hollow position is solved to realize the road contour extraction by gradient vector flow model with iterative solution.
目的提出一种基于边缘流的梯度矢量流（gradientvectorflow，GVF）形变模型的图像分割方法，并用于淋巴结超声图像的分割。
Objective To put forward an improved gradient vector flow (GVF) snake model based on the edge flow for segmentation of medical ultrasonic images of the lymph node.
通过对能量方程进行体积分得到了三维流场中场协同理论的表达式。该式不仅含速度矢量与温度梯度矢量的点积项，还含有速度矢量与压力梯度矢量的点积项。
In this article the mathematical expression of field synergy theory for three dimensional flow with centrifugal force was derived by integrating the energy equation in the concerned volume.
通过对能量方程进行体积分得到了三维流场中场协同理论的表达式。该式不仅含速度矢量与温度梯度矢量的点积项，还含有速度矢量与压力梯度矢量的点积项。
In this article the mathematical expression of field synergy theory for three dimensional flow with centrifugal force was derived by integrating the energy equation in the concerned volume.
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