可变形模型的统一象力及几何活动环面的水平集直接蛇化
A United Image Force for Deformable Models and Direct Transforming Geometric Active Contorus to Snakes by Level Sets
摘要：
物体周围的图像力场的均匀分布加快了分割过程的收敛速度。然而，为了实现这一目的，它导致从热扩散模型构造的力不能准确地指示对象边界。基于静电场模型的镜像力可以实现精确的形状恢复。首先，本文提出了一种融合这两种力的方法，该方法能够快速、高精度地提取目标边界。到目前为止，对于Snakes与几何活动轮廓（GAC）之间的关系还没有满意的分析。本研究的第二个贡献是，GAC模型可以直接从Snakes模型推导出来。证明了GAC和Snakes中的每个术语是对应的，具有相似的功能。然而，这两个模型使用不同的数学表示。此外，由于失去了旋转轮廓的能力，水平集的采用可能会限制GAC在某些情况下的使用。
英文摘要：
A uniform distribution of the image force field around the object fasts the convergence speed of the segmentation process. However, to achieve this aim, it causes the force constructed from the heat diffusion model unable to indicate the object boundaries accurately. The image force based on electrostatic field model can perform an exact shape recovery. First, this study introduces a fusion scheme of these two image forces, which is capable of extracting the object boundary with high precision and fast speed. Until now, there is no satisfied analysis about the relationship between Snakes and Geometric Active Contours (GAC). The second contribution of this study addresses that the GAC model can be deduced directly from Snakes model. It proves that each term in GAC and Snakes is correspondent and has similar function. However, the two models are expressed using different mathematics. Further, since losing the ability of rotating the contour, adoption of level sets can limits the usage of GAC in some circumstances.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
