引用本文:王元全,贾云得.梯度矢量流Snake模型临界点剖析.软件学报,2006,17(9):1915-1921
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梯度矢量流Snake模型临界点剖析
王元全1, 贾云得1
北京理工大学,计算机科学技术系,北京,100081
摘要:
作为经典Snake模型的一个变体,梯度矢量流(gradient vector flow,简称GVF)Snake在扩大Snake轮廓的捕捉范围和深度凹陷区域的收敛上具有卓越的性能.但GVF Snake在初始化时存在一个临界点问题:在目标内部的临界点必须在初始Snake轮廓的内部;在目标外部的临界点必须在Snake轮廓的外部.否则,Snake轮廓将不能收敛到正确的结果.对GVF Snake的临界点问题进行探讨,详细分析了临界点的影响因素,指出GVF场只有在合适的条件下才是有效的;证明了相关文献中从粘性流体力学
关键词:  GVF(gradient vector flow,简称GVF) Snake  临界点  图像分割  Navier-Stokes方程  粘性流体力学
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基金项目:Supported by the National Natural Science Foundation of China under Grant No.60543007 (国家自然科学基金)
Analysis of the Critical Point of the Gradient Vector Flow Snake Model
WANG Yuan-Quan,JIA Yun-De
Abstract:
Gradient vector flow (GVF) snake shows high performance at capture-range enlarging and boundary concavity convergence, however, the initial contours encounter a so-called critical point problem (CPP). The initial contour must contain the critical points inside the object and exclude those outside the object, otherwise, the final result would be far from the expected. This paper investigates the CPP of the GVF snake and points out that, serving as an external force field for snake models, gradient vector flow could be effective only under some restrictions. Also, it is proved that the theoretical foundation, the Navier-Stokes equation for viscous fluid flow, for the solution to this CPP in literatures is incorrect. Finally, an empirical solution to the CPP is presented and its performance is validated by experiments.
Key words:  GVF (gradient vector flow) snake  critical point  image segmentation  Navier-Stokes equation  viscous fluid flow

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