基于Snake模型的复杂区域图像分割

在复杂区域图像分割中,针对传统Snake模型不能收敛到深凹陷区域等缺点,从内部能量函数和算法实现两方面入手对传统Snake模型进行改进,增加了一项由力作功产生的能量项,并采用Greey算法分两阶段实现.结果表明,改进的Snake模型能迅速地收敛到深凹陷区域和更复杂区域,且减弱了分割结果对初值的依赖性和噪声点对边界的影响.

The Image Segmentation of the Complex Region Based on Snake Model

In the segmentation of complex region,aiming at it that the traditional Snake Model can not converge the concavity district and some other weeknesses,we make improvement for the traditional Snake Model through the two aspects,one hand increasing one energy item created by doing work,another hand adopting Greey algorithm in two stages.The result shows that the improved Snake Model can quickly converge the concavity region and the more complex region,and has decreased the dependence of the result of segmentation to the initial value and the influence of noise point to the boundary.