gradient vector flow model

基本解釋

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.
目的提出一種基于邊緣流的梯度矢量流（gradientvectorflow，GVF）形變模型的圖像分割方法，并用于淋巴結(jié)超聲圖像的分割。
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.
通過梯度矢量流模型迭代求解，解決道路凹陷位置逼近問題，最終實(shí)現(xiàn)道路提取。
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In conclusion, our modified gradient vector flow model has not yet provided definitive evidence for or against the use of active contour models in 3D brain image segmentation.
最后，我們修改的梯度矢量流模型尚未提供確切的證據(jù)支持或反對(duì)在三維腦圖像分割中使用主動(dòng)輪廓模型。
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