摘要
介绍了一种基于元胞自动机各向异性扩散模型的图像分割算法。在扩散模型基础上,引入跨膜介质,构建各向异性扩散模型;然后模拟热扩散方程的活动轮廓模,建立热量场,通过LBADM模型对图像进行分割获得目标分割边缘。实验结果表明,该算法模型能够取得闭合的分割曲线,同样能够很好的处理图像拓扑结构的变化。通过与水平集方法和窄带水平集方法进行计算速度实验对比,表明该算法能够大大减少了分割的计算量。
Based on lattice Boltzmann anisotropic diffusion model（LBADM）,a new method of image segmentation is introduced.Firstly,the membrane media is introduced and anisotropic diffusion model is built.Secondly,active contour model is simulated by thermal diffusion equation,and the heat field is established.Then,by the LBADM it can be obtain the edge of object segmentation.The experiment and discussion is showed that our algorithm can accurately solve the convection-diffusion equation.It can obtain closed curves and deal with topology changes well.Contrasting with the level set method and narrowband level set method for computing speed,the experimental result shows that the algorithm greatly reduces the segmentation of the computation.
出处
《计算机工程与设计》
CSCD
北大核心
2010年第16期3666-3669,共4页
Computer Engineering and Design
关键词
图像分割
元胞自动机
格子波尔兹曼模型
各向异性
跨膜介质
image segmentation
cellular automata
lattice Boltzmann model
anisotropic diffusion
membrane media
