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一种新的基于各向异性扩散的GVF模型
引用本文:王宇,张建伟,陈允杰,詹天明,阮晶.一种新的基于各向异性扩散的GVF模型[J].计算机工程,2010,36(4):215-217.
作者姓名:王宇  张建伟  陈允杰  詹天明  阮晶
作者单位:南京信息工程大学数理学院,南京,210044
基金项目:国家自然科学基金青年基金资助项目(60805003);;香港特区政府研究资助局基金资助项目(CUHK/4185/00E)
摘    要:针对传统梯度矢量流(GVF)模型各向同性扩散分割图像时所导致的模糊边缘以及弱边界处的泄漏问题,提出一种新的GVF模型,该模型采用8个方向各向异性扩散策略以保持目标边界,并使用具有较快下降速度的保真项系数来增强Snake进入凹陷部分的能力。理论分析和实验结果表明,新方法能较准确地分割出目标凹陷部分,对于弱边界泄漏具有更强的鲁棒性。

关 键 词:图像分割  Snake模型  GVF模型  各向异性扩散
修稿时间: 

New GVF Model Based on Non-linear Diffusion
WANG Yu,ZHANG Jian-wei,CHEN Yun-jie,ZHAN Tian-ming,RUAN Jing.New GVF Model Based on Non-linear Diffusion[J].Computer Engineering,2010,36(4):215-217.
Authors:WANG Yu  ZHANG Jian-wei  CHEN Yun-jie  ZHAN Tian-ming  RUAN Jing
Affiliation:(College of Math & Physics, Nanjing University of Information & Technology, Nanjing 210044)
Abstract:A new improvement based on Gradient Vector Flow(GVF) model is put forward, in order to solve the problem brought about by linear diffusion that the traditional GVF model will often blur the boundary of object map and weak boundary leaking. This improvement adopts eight directional non-linear diffusion to keep the boundary of object map, and makes use of a new coefficient of fidelity term which have a faster descent speed to strengthen Snake to segment the depression part. Theoretical analysis and experimental result show that, this new improvement has better ability to segment the depression, and has better robustness concerning weak boundary leaking.
Keywords:image segmentation  Snake model  Gradient Vector Flow(GVF) model  non-linear diffusion
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