梯度矢量流快速测地线活动轮廓

N. Paragios, O. Mellina-Gottardo, Visvanathan Ramesh
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引用次数: 115

摘要

本文提出了一种新的边界提取前沿传播流。所提出的框架受到测地线活动轮廓模型的启发,并导致一个相对不受初始曲线位置影响的范式。为此,它利用了最近引入的外部边界力,即指边界信息的空间扩散的梯度向量场。根据提出的流,用一个新的力取代传统的边界吸引项,引导传播从两侧到物体边界。这种新的几何流使用水平集方法实现,从而允许自然地处理拓扑变化和重要的形状变形。此外,水平集运动方程采用最近提出的一种数值逼近格式——加性算子分裂模式(AOS)来实现,该格式收敛速度快,性能稳定。利用真实图像,得到了令人鼓舞的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gradient vector flow fast geodesic active contours
This paper proposes a new front propagation flow for boundary extraction. The proposed framework is inspired by the geodesic active contour model and leads to a paradigm that is relatively free from the initial curve position. Towards this end, it makes use of a recently introduced external boundary force, the gradient vector field that refers to a spatial diffusion of the boundary information. According to the proposed flow, the traditional boundary attraction term is replaced with a new force that guides the propagation to the object boundaries from both sides. This new geometric flow is implemented using a level set approach, thereby allowing dealing naturally with topological changes and important shape deformations. Moreover the level set motion equations are implemented using a recently introduced numerical approximation scheme, the Additive Operator Splitting Schema (AOS) which has a fast convergence rate and stable behavior. Encouraging experimental results are provided using real images.
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